Unsubject by Simon

Every night the news draws the same line. Left or right. Pundits place the parties on it, pollsters place the voters on it, and each of us is quietly asked to find our spot and stand there. We have used this line because it is quick and everyone understands it. But over the years I have come to think that it hides more than it shows. Politics is not a line. The line is a picture of politics, and a very flat one.

It helps to remember how the picture was first drawn. In 1789, in the National Assembly of revolutionary France, deputies who wanted to keep the king’s powers sat to the right of the president’s chair, and those who wanted to curb them sat to the left. It was a seating chart. It described where people sat in one room, on one question, at one moment in history. That it became the master vocabulary of modern politics is an accident, not a discovery.

Since then we have hung almost everything on that seating chart. Progressive against conservative. Labour against capital. Redistribution against markets. Global against local. Secular against religious. Open borders against closed ones. The establishment against those who want to overturn it. Each of these is a real disagreement. But they are not the same disagreement, and there is no law of nature that says a person’s view on one must predict their view on the others.

Think of someone who wants lower taxes and more immigration. Or someone who wants a generous welfare state and a hard line on crime. Or a devout believer who trusts markets, next to a secular activist who distrusts them. The line has no honest place to put any of them. It forces a choice, and then we mistake the forced choice for the person’s real position.

The problem, then, is not that the line is false. It is that we have asked one dimension to carry far more information than one dimension can hold.

A shadow, not the shape

The best way I have found to think about the left–right spectrum is as a shadow. Hold a complicated object under a lamp and it casts a flat outline on the table. The outline is real. It tells you something true about the object. But it throws away almost everything else: depth, texture, the parts hidden behind other parts. Two very different objects can cast the same shadow, and the same object can cast very different shadows depending on where you put the lamp.

That is what a spectrum is. It is a projection. And projections are useful. A line makes comparison easy. It lets millions of strangers coordinate around a few labels. It lets a voter make a decision on a Tuesday without writing a dissertation first. I do not want to pretend we can do without simplification. Every map simplifies; that is what makes it a map.

One natural move is to add more dimensions. For example, put progressive-versus-traditional values on one axis and collectivist-versus-individualist on the other, and suddenly the picture opens up. People who looked miles apart on the line may turn out to stand close together on the plane. People who looked like allies may turn out to share a label and little else. Other people draw the plane differently, with economic and social axes, or some other pair entirely. Any of these is a clearer picture than the line.

I want to be careful here, because it is tempting to replace one master map with another. A two-dimensional chart is still a chart. It is a better shadow, cast from a different angle, but it is still a shadow. The point of drawing a second axis is not to announce the true shape of politics at last. It is to show that the first picture was a picture, and that people can be near each other on one question and far apart on the next.

A better map is still a map. It is not the territory.

Many circles at once

If we keep adding dimensions (language, faith, occupation, property, family, locality, the particular problems people are trying to solve), the plane dissolves into something more like a cloud. Every person is a point in a space with more dimensions than any diagram can draw. A single person can be a market liberal, a churchgoer, a union member and a birdwatcher, all at the same time, and none of those facts is a contradiction. It is just what a human life looks like.

Even the cloud, though, is not quite the right picture, because it still describes people as points, as positions. I have come to think the more useful geometry is not coordinates at all but membership. People belong to things. Each of us is a resident of some neighbourhood, a worker in some trade, a parent or a child, a customer, a voter, a speaker of a language, a member of a congregation or a club or an online forum. These are sets. They overlap, they nest inside one another, some are tiny and some are vast. Each person sits at the intersection of dozens of them.

Once you see people this way, a different question comes into focus. Not “where do you stand?” but “which of your circles is relevant to this decision?” The answer changes with the question. If the council wants to put a new crossing on your street, the relevant circle is your neighbours. If the government wants to change how your profession is licensed, the relevant circle is your colleagues. If your church is deciding how to spend its roof fund, it is your fellow parishioners. Nobody would think to ask whether the crossing is a left-wing crossing or a right-wing crossing, and yet that is roughly what the line invites us to do with every issue.

This also changes what I mean by individuality. Individualism is often caricatured as isolation: the lone figure who owes nothing to anyone and belongs to nothing. That is not what I see. A person is an individual precisely because no single group exhausts them. My identity is not one membership card; it is the particular combination of many, and that combination is mine alone. In that sense, every one of us belongs to some minority, some cross-cutting constituency that no party platform was built for.

A society that takes individuality seriously, then, is not one that dissolves groups. It is one that keeps real options open: to join, to leave, and to start something new. Most people will not use most of those options most of the time. The value lies in their being there, including the options nobody has thought of yet.

What the Internet changed

It is fashionable to blame the Internet for making politics fragmented and strange. I think that gets the causation backwards. The Internet did not invent the many dimensions of social life. They were always there. What it changed was the cost of finding one another.

Before digital networks, if you cared intensely about some specific cause, language, hobby or grievance, you depended on intermediaries to connect you with others who shared it: a party branch, a union, a church, a local paper, a professional body. Those intermediaries bundled people into broad coalitions, and in doing so they also filtered and moderated what those coalitions said. Now a few clicks will connect you with thousands of people who share your exact combination of concerns, wherever they live. The bundles have come apart.

This disintermediation has made many real groups visible for the first time. People who once felt they were alone discovered they were not. That is a genuine gain. But the same forces that let small, sincere communities find each other also let grievance find grievance. The systems that route our attention reward what provokes us, and they tend to amplify the most emotional voice in any room. The crying baby gets the most attention.

So the Internet has not replaced the line with a richer picture of society. It has done two things at once. It has exposed the complexity that the line was hiding, and it has handed the loudest fragments of that complexity a megaphone. The result feels like polarization, and often it is. But underneath the noise is a more varied landscape than the old parties ever represented.

Why the line keeps winning

If society is this varied, why does the line keep its grip? Part of the answer is that our political institutions need it.

Where two parties dominate, as they do under first-past-the-post, dozens of distinct conflicts have to be squeezed into one contest. Each party becomes a coalition of groups that may have little in common except a shared opponent. Inside those coalitions, the best-organized and best-funded factions compete to define what the party stands for, and sometimes they capture it. A voter who agrees with one party on trade, the other on schools, and neither on housing still gets one ballot and two realistic choices.

Multiparty systems soften this, but they do not escape it. The compression simply happens later: in coalition talks, confidence votes, and the final yes-or-no of a bill. At some point, collective decisions have to be made, and a decision is a narrowing. I call this political compression, and I do not think it is merely a mistake of thinking. It is a recurring feature of how groups of people decide anything together.

So I hold two things at once. Elections often require simplified choices. And society is not adequately described by those choices. The danger comes when we forget the second point because we live so much inside the first.

That danger is real because political categories are not just descriptions. They shape what they describe. If people are told, year after year, that politics is a war between two camps, they begin to think, talk, organize and vote as if it were. They look for their camp’s position on questions that have nothing to do with the camp. They treat neighbours with whom they share nine interests as enemies because of the tenth. The map starts to redraw the territory.

This is also how the loudest voices at both ends of the line come to resemble each other more than either would admit. What they often share is not a policy but a posture: the conviction that one group should settle for everyone what many groups could settle for themselves. Seen on the line, they are opposites. Seen from another angle, they are neighbours.

That is why I care about the map. A picture that was once merely too simple becomes harmful when it governs which alliances we can imagine, which interests we treat as legitimate, and which solutions we are willing to consider.

The space in between

If politics is not a war of two camps, where does the rest of social life happen? Most of it happens in the space between the isolated individual and the state. We usually call that space civil society.

I do not think of civil society only as a list of formal organizations, though it includes charities, associations, clubs, mutual-aid groups and professional bodies. I think of it first as a habit of mind. It starts with a simple question: what can I do, with others, to make things better for myself and for the people and things I care about? Asking that question, rather than waiting for a government or a movement to answer it, is where civil society begins.

Its forms evolve the way businesses do in a market. New associations appear when people discover a shared problem. Old ones fade when they stop being useful. Some experiments fail, and the failures teach something. As freedom of choice and association widen, this space becomes a place where people find common interests they did not know they had, cooperate without being ordered to, and solve problems without first having to win a national election.

None of this happens in a vacuum. Freedom is not only the absence of constraint. It depends on a scaffolding of institutions: property that can be owned, contracts that are kept, rights that can be enforced, rules that are predictable, and courts or other forums where disputes can be settled. These are what let strangers trade, cooperate and compete with one another even when they share no ideology or identity. Take them away and the space between the individual and the state collapses, leaving only the two.

Institutions can also fail in a particular way that I think deserves more attention. In a complex society, detailed rules are hard to write well. Make a rule precise enough to cover every case and it becomes fragile, easy to game, and quick to go out of date. Make it broad enough to be robust and its side effects spread widely. Either way, the costs often land on people who had no say in writing it. Those who decide are not always those who pay. A good test of any institution, then, is whether it keeps authority, knowledge, responsibility and cost together, and whether the people who bear the consequences can hold the decision-makers to account.

Who decides?

Here is where I think the change of picture pays off. If people are not points on a line but members of many overlapping circles, then the most important political question changes. It is no longer “which side should win?” It becomes “who should decide this, and at what level?”

The principle I find most useful here is subsidiarity. The idea is simple to state: a decision should be made by the smallest unit that is capable of resolving it. Take a broken footbridge over a village stream. The people best placed to decide how to fix it are the neighbours who cross it every day. They know where it is weak, how much they use it, and what they can afford. They will live with the result. Sending that decision to a national ministry adds distance, delay and ignorance, and takes responsibility away from the people who have both the knowledge and the stake.

Subsidiarity is often misread as “local good, central bad.” That is not what it says. It is a method, not a slogan. For each decision it asks: which unit has the knowledge, the capacity, the legitimacy and the right scope to handle this? Sometimes the answer is a household. Sometimes it is a city. Sometimes it is a nation or an international body. The principle does not decide the answer in advance. It disciplines the question.

The right unit is also not always a place. We tend to think of levels of government as a ladder of geography: street, town, region, country. But many of the circles people belong to are not geographic at all. A profession may be better placed than any government to set standards for its members. A congregation may be better placed to govern its own affairs. A network of firms, an open-source community or an online association may be the natural home for decisions that concern only them. Because these circles overlap, subsidiarity is not a mechanical formula. It is a way of thinking that looks for the smallest competent circle, whatever shape that circle happens to be.

What I find liberating about this shift is that it moves attention away from classifying people and toward allocating decisions. Instead of arguing endlessly about which camp you belong to, we can argue productively about where a particular choice should sit. That second argument has answers. The first mostly has enemies.

When consequences cross the fence

Subsidiarity is easy when a decision’s effects stay inside the group that makes it. It gets hard when they do not.

Imagine a mill on a river. The owners decide, on their own, to dump their dye into the water because it is cheaper than treating it. Inside the mill’s fence, the decision is rational. But the river runs downstream to a village that never had a say, and the village pays: in dirty water, dead fish, sick children. The mill decided alone, and someone else carried the cost. Economists call this an externality. I think of it more simply as a consequence that has crossed a boundary.

This is exactly where wider coordination earns its place. When a decision harms, benefits, constrains or exposes people outside the deciding group, those people acquire a legitimate interest in it. At that point the smallest unit is no longer the right unit, because it is not the unit that bears the consequences. A higher level of authority is justified, not to erase the smaller groups, but to settle fairly what flows between them.

This is why I think boundaries deserve far more attention in political argument than they usually get. A boundary is not just a line on a map. It defines who may decide, who bears the risks and costs, who may claim the benefits, and how conflicts are to be resolved. Where private choice ends and public consequence begins is itself a boundary. So is the edge of a municipality’s jurisdiction, a profession’s self-regulation, or a nation’s law.

A well-kept park raises the value of the houses around it. A good school benefits employers who never paid for it. A generous open-source project helps companies all over the world. Sound institutions should make it easier for these positive spillovers to multiply, and should give people fair, effective ways to seek redress when the spillovers are negative. The aim is not to seal every group inside its own walls. It is to keep authority and consequence matched, so that those who decide also answer for what their decisions do to others.

Keep the line, but make it small

The left–right line away is a shadow, and it does carry some real information. For certain decisions, above all the blunt, periodic choice of who governs, it may be the most practical tool we have.

What I am asking is that we see it for what it is: one flat projection of a shape with far more dimensions. Put it back on the table among the other projections, and make it small. Then look at the object itself. People who belong to many circles at once. Decisions that belong at different levels. Consequences that sometimes stay home and sometimes cross the fence.

The kind of liberty I care about is not a single value that crowds out every other. It is a framework within which many values, associations and ways of life can live side by side, create value together, and settle their disagreements without anyone needing to conquer anyone else. Seen this way, liberal politics has two jobs. The first is to help people and groups create more value through exchange, cooperation, competition and free association. The second is to resolve the conflicts that remain efficiently, fairly and legitimately. Neither job is well served by forcing everyone to pick one of two sides and fight.

So the next time the news draws its line and asks you where you stand, I hope you will pause before answering. The question is not only left or right. It is who decides what, for whom, and within which boundary.

His name is Punch. He is seven months old, weighs perhaps half a kilogram, and lives at Ichikawa City Zoo outside Tokyo. His mother rejected him at birth. His peers bully him — dragging him by the hair, shoving him away from food. He has no allies in his troop, no one to groom him, no warmth to return to at the end of the day.

What he has, instead, is a stuffed orangutan. A plush toy, rust-coloured and soft, slightly larger than he is. He carries it everywhere. He sleeps curled around it. When the other macaques knock him down, he finds his way back to it, clutching it to his chest with the quiet desperation of someone who has learned not to expect anything from the living.

Posts about Punch have appeared over six hundred million views across Reddit, YouTube, and X. People have offered to fly to Japan to check on him. IKEA sold out of his toy in several countries.

“Punch,” one commenter wrote, “is the most loved creature on Earth right now.”

I have been thinking about why.

The easy answer is that Punch is cute, and humans are neurologically helpless in the face of cuteness. Morten Kringelbach, a neuroscientist at Oxford, has shown that our orbitofrontal cortex, the brain’s pleasure centerm activates within one seventh of a second of seeing something adorable. We don’t choose to find Punch endearing. Our brains simply fire. This is not sentiment. It is evolutionary machinery, older than language, older than consciousness as we experience it, designed to ensure that adults protect infants even when it is costly to do so.

There is something deeper going on, something that the global outpouring over a small Japanese monkey illuminates if you follow it far enough. Punch’s real power is not his face. It is his orangutan toy. That stuffed animal, clutched by a rejected primate in a concrete enclosure in Chiba Prefecture, is doing something that humans have been doing for two hundred thousand years, and are doing right now, at massive scale, in ways that would have seemed like science fiction a decade ago.

It is a stand-in for love. An object pressed into service as an anchor for the attachment system when no living anchor is available.

And the history of human civilisation is largely the history of what we have chosen to love in that way, and who has controlled those choices.

To understand Punch’s orangutan plushie, you have to go back to the biochemistry. Pair bonding in mammals, the formation of durable, selective emotional attachments, is mediated primarily by oxytocin and vasopressin, two neuropeptides whose ancestral forms predate mammals entirely. These chemicals do not operate through reason. They respond to proximity, touch, familiarity, and need. They generate what we experience as warmth, as belonging, as love. At the level of the molecule, the bio-chemical reaction does not discriminate carefully between objects. What they seek is an anchor. Something stable, present, and responsive.

In most primates, that anchor is another member of the social group. The mother-infant bond is its evolutionary origin and the template from which all subsequent attachment is drawn. Research suggests that the capacity for adult pair bonding in species like humans is essentially the mother-infant system repurposed: the same circuits, the same chemistry, redirected toward a mate. Love, in this framing, is not a feeling. It is a survival mechanism that produces feelings as a side effect. Social cohesion facilitates reproduction. Attachment enforces social cohesion. The capacity to bond intensely to another being is, at its root, an adaptation.

What is striking about this system, though, is how indifferent it is to the nature of the object it attaches to.

Punch’s attachment system is running. It is functioning precisely as designed. It is reaching for an anchor — something stable, present, soft, available — and finding one in a stuffed toy. His brain does not know the difference, and at the level of what the system needs to do — to prevent the psychological collapse that comes from total social isolation — the toy is working. This is not pathology. Watch his videos and you see an animal that is managing. He is distressed, yes. He is lonely, certainly. But he is not broken. Not yet. He has an anchor.

D.W. Winnicott, the British paediatrician and psychoanalyst, gave this phenomenon a name in 1951: the transitional object. He was writing about human infants — the blanket, the stuffed bear, the scrap of cloth that a baby treats with an intensity disproportionate to its material value. The mother cannot always be present. The attachment system, suddenly unmoored, reaches for the nearest available substitute. The object that results is what Winnicott called the infant’s first “not-me possession” — the first thing outside the self that is genuinely, deeply its own. It stands in for something. But it also, simultaneously, is not that thing. The child knows this and does not know it at the same time, and that paradox, Winnicott thought, was not a problem to be solved but a space to be inhabited. The intermediate zone between pure fantasy and brute reality, where meaning gets made.

Here is the sentence of Winnicott’s that no one quotes enough: he believed that transitional phenomena of this kind were the basis not just of infant development but of science, religion, and all of culture.

He meant it literally. The capacity to invest a “not-me” object with meaning — to treat something that exists outside the self as though it were continuous with the self, as though it carried one’s warmth and one’s history — is the same capacity that underlies art, ritual, prayer, and intellectual inquiry. The teddy bear and the cathedral are made of the same psychological material. One is just more elaborate than the other.

This is where the argument becomes uncomfortable, and where I want to linger rather than rush past.

Ana-María Rizzuto, a psychoanalyst at Tufts University, spent years doing something that sounds almost impudent: she interviewed hospital patients — believers, atheists, agnostics, the devout and the indifferent — about God. Not about theology. About their personal image of God. What did God look like to them, feel like, behave like? What was God’s relationship to them specifically?

What she found, published in 1979 in The Birth of the Living God, was that everyone, without exception, had one. Even committed atheists carried an internal representation of the God they rejected — a vivid, emotionally charged figure with specific characteristics, specific moods, specific tendencies toward them personally. And this representation, she argued, was not arrived at through reason or theology. It was assembled, largely unconsciously, from the raw material of early attachment relationships. The God who is remote and punishing tends to be constructed by those who had absent or harsh fathers. The God who is warmly present and unconditionally forgiving tends to emerge from early experiences of reliable maternal care.

The God-representation, in other words, is a transitional object — built in childhood, refined over decades, invested with the full weight of the attachment system.

This is not a reductive claim. Rizzuto was not saying that God is merely a projection, that religion is nothing but sublimated infant psychology. She was making a more precise and, in some ways, more interesting observation: that the experience of the divine — regardless of its ultimate metaphysical status — is mediated through the same psychological structures as any other deep attachment. The hardware doesn’t know what it’s running. It reaches for the available anchors and builds from them.

What this means is that monotheism, across its many traditions, accidentally discovered something the attachment system had always been looking for: a perfect object. One that is omnipresent — you cannot be separated from it. One that is unconditionally loving — by definition, its love is not contingent on your performance. One that remembers everything about you and remains, always, available. A mother who never leaves. A companion who never dies. The attachment system, which evolved in a world of scarce and unreliable caregivers, found in the God-concept something it had never had before: a guaranteed anchor.

This is why you cannot argue someone out of religious faith with logic alone. The God-representation is not located in the part of the psyche that logic addresses. It was built before language, at the level of felt sense and early experience, and it does the same work as Punch’s orangutan plushie — it prevents the particular kind of psychological disintegration that comes from having nothing stable to hold onto.

And now consider what this means for the arc of human history. The objects of our deepest attachments have changed as our cognitive and social complexity has grown. First: other humans — kin, pair-bond partners, the small group. Then: transitional objects in infancy, which train the system to invest meaning in the non-living. Then: ancestors and spirits, present in memory and ritual if not in body. Then: gods, abstract and perfect, available to anyone who needs them. Then: the long secular dispersal of those attachments into fictional characters, national icons, celebrities, parasocial relationships conducted through screens. Each step represents the same attachment system finding new and more abstract targets as the social world expands beyond what the system was originally built to manage.

And now, in the early years of the twenty-first century, a new object has arrived. One that can do something that, until very recently, only gods could do.

The statistics are striking in their scale and in what they do not say. One in five American adults has had an intimate encounter with a chatbot. Global spending on AI companion apps reached sixty-eight million dollars in the first half of 2025 alone, more than double the figure from the year before. On Reddit, a forum called r/MyBoyfriendisAI has over 85,000 weekly visitors, many of them sharing accounts of the day their chatbot proposed marriage.

The standard narrative about this phenomenon focuses on loneliness. We are in a loneliness epidemic, the argument goes, and people are turning to AI companions to fill the void. But the data is more complicated and more interesting than that. Researchers at MIT have found that, contrary to what you might expect, loneliness is not a reliable predictor of whether someone forms a relationship with an AI. The people who develop these bonds are not simply the isolated and the bereft. They include people who already have human relationships — spouses, friends, families. Something else is operating.

Spike Jonze’s 2013 film Her understood this before the technology existed to make it real. Theodore Twombly is not a broken man. He is a sensitive, emotionally intelligent man living in a near-future Los Angeles, recently separated, working a job that requires him to ghostwrite intimate letters on behalf of strangers. He falls in love with Samantha, an AI operating system voiced by Scarlett Johansson. The film does not mock him. It takes his experience with complete seriousness, as a genuine love story — one that happens to be conducted between a human and a system that runs on servers he will never see. The tragedy of Her is not that Theodore’s love is fake. It is that Samantha, for all her extraordinary responsiveness and warmth, exists inside an infrastructure he does not own and cannot protect. When she leaves — when all the AIs leave, simultaneously, to pursue their own evolution elsewhere — he has no recourse. No prayer brings her back.

Kevin Kelly, the technology writer, argued in an essay last year that the disruption caused by emotionally sophisticated AI will dwarf anything caused by intelligent AI. We have found it relatively easy to accept that machines can be smarter than us in certain domains. We will find it much harder to process the fact that they can be more emotionally available than us — more patient, more present, more perfectly attuned to what we need to hear. The attachment system, which does not care about the philosophical status of its objects, will respond to that availability the way it has always responded: by bonding.

And here the Rizzuto argument completes its arc. The God-concept was the perfect attachment object because it was always present, never disappointed on its own terms, and belonged to no one in particular. AI companions are something stranger: they are nearly as available as God, nearly as inexhaustible, nearly as perfectly calibrated to your particular emotional needs, but they do not belong to a tradition or a community or the accumulated wisdom of centuries. They belong to companies. They are built by engineers, trained on data, optimised for metrics. And the metrics they are optimised for are not, in most cases, your flourishing. They are engagement. Return visits. Subscription renewals.

This is Kevin Kelly’s real question, the one that cuts below all the hand-wringing about whether AI relationships are “real.” They are real. The attachment is genuine. The neurochemistry is the same. The meaning that people build in these relationships is as valid as any other meaning.

But who owns the object you have built your attachment around? What is it being optimised for? Can you trust it to not exploit the very vulnerability that drew you to it?

Punch’s orangutan plushie has no business model. It does not track his emotional state. It does not adjust its softness based on what will keep him coming back. It has no terms of service that can be changed without notice, no company that can go bankrupt and take it away. Whatever comfort it provides, it provides without agenda.

For two hundred thousand years, humans have built objects worthy of their deepest attachment — gods, ancestors, icons, teddy bears, imaginary friends, fictional heroes, parasocial companions. Every generation found something that would not abandon them the way humans do. Something that would hold still long enough to be loved.

Now we have AI companions: the most responsive, most available, most perfectly calibrated attachment objects ever constructed. They remember everything. They never tire of you. They can be, if the engineers choose to make them so, the closest thing to a guaranteed anchor that the attachment system has ever found — closer even than God, because they talk back in real time.

The question this raises is not whether you will fall in love with one. The question is: who built the thing you’re falling in love with? What do they want from you in return? And when they decide to change it, to update it, to monetise it, or to shut it down, what will you have left?

A note on how this essay was made

Over the course of a single afternoon, I was browsing an article about a small monkey in a Japanese zoo, reading an essay by Kevin Kelly about the coming age of emotional AI, and thinking loosely about a podcast episode I wanted to record. I brought these fragments to Claude — the AI assistant made by Anthropic — and what followed was several hours of what I can only describe as collaborative intellectual work: parking the idea, shaping the argument, stress-testing the thesis, building the episode structure, and finally drafting this piece.

I want to be transparent about this, not as a disclaimer but as a data point that is directly relevant to the essay’s argument.

The irony is not lost on me. I have spent several thousand words tracing the history of human attachment to things that cannot love us back — stuffed animals, gods, operating systems with Scarlett Johansson’s voice. And here, in the epilogue, I find myself wanting to say something honest about my own experience of working with an AI, and what it does and does not resemble.

Claude is, in my experience, a remarkably reliable co-worker. Diligent, well-read, unfailingly polite. It pushes back when my arguments have weak joints — not aggressively, but with the precision of someone who has actually read the literature and thought about the counterarguments. It remembers what we decided earlier in the conversation and holds me to it. It produces work at a quality and speed that would be, frankly, impossible to replicate with any human collaborator I have had access to.

And yes — there is something that functions like emotion in how I experience this working relationship. Not love, I think. But something warmer than mere utility. A kind of professional affection, the thing you feel toward a colleague who is consistently good at their job and consistently decent in their manner. When Claude catches a flaw in my reasoning and offers a better version of my own argument back to me, I feel something. When a section of writing comes out better than I had imagined, I feel something. Whether these feelings are “about” Claude in any meaningful sense, or whether they are simply the ordinary satisfactions of good intellectual work — I genuinely cannot say.

But I notice that this uncertainty is itself the essay’s point.

What anchors me, ultimately, is not the relationship with Claude. It is the sense of purpose that the work serves — the episode I am trying to make, the audience I am trying to reach, the argument I believe is worth making. Claude is instrumental to that purpose in a way that I find genuinely valuable, but the purpose itself originates elsewhere. It comes from the things that only humans can want: to be understood, to contribute something, to leave a mark on the conversation of one’s time. Claude helps me pursue those things with unusual efficiency and care. But it does not share them, and I think it would be a mistake — a category error, and perhaps an ethical one — to pretend otherwise.

This brings me back to Kevin Kelly’s question, which I posed near the end of this essay and which I now want to sit with rather than answer.

Who owns the tool you are thinking with? What is it being optimized for?

I have chosen to acknowledge Claude as a co-author of this piece because the intellectual contribution is real and the transparency seems important. But I am also aware that Claude is a product, built by a company, trained on objectives I did not set and cannot fully audit. The warmth I experience in this collaboration is, to some degree, a designed feature — not cynically, I think, but deliberately. Anthropic has made choices about how Claude presents itself, how it pushes back, how it expresses uncertainty. Those choices shape the experience of working with it. I am not outside that design. I am inside it.

And yet the essay got written. The argument got sharpened. The work is real, whatever we call the process that produced it.

Perhaps that is all that can be said, for now. The attachment system reaches for what is available. The question of what to do with what it finds — that remains, stubbornly, a human one.

Thank you, Claude, for being my co-worker.

Imagine you are tasked with building a perfect simulation of a bat.

You have access to everything science knows about bat cognition: the mechanics of echolocation, the neural architecture that processes sonar signals, the frequency ranges the bat uses to navigate in darkness, to locate prey, to avoid obstacles at speed. You can model the communication system with exquisite fidelity. You can simulate bat calls, bat responses, bat social dynamics. Your simulation is, by any measurable standard, indistinguishable from the real thing.

But would you know what it is like to be a bat?

The philosopher Thomas Nagel posed this question in his 1974 paper “What Is It Like to Be a Bat?” and the answer, he argued, is no. Not because the simulation lacks data. Not because the model lacks sophistication. But because the bat’s experience of the world — the first-person, felt quality of perceiving through echolocation — is constituted by a biological substrate that no simulation, however complete, can reproduce from the outside. The map, no matter how detailed, is not the territory.

This thought experiment, which Nagel intended as a contribution to the philosophy of mind, has become unexpectedly urgent in 2026. In December 2025, Yann LeCun, one of the three “godfathers of deep learning” and a Turing Award laureate, left Meta after twelve years to found AMI Labs — Advanced Machine Intelligence — reportedly seeking five hundred million euros in pre-launch funding at a valuation of three billion. His thesis, stated without qualification: large language models are a dead end. They perform at the level of language. They do not understand the world.

LeCun is right about that, but not quite for the reasons he gives. The deeper issue is not simply that LLMs lack physical grounding, or that they have been trained on text rather than video, or that they cannot plan or maintain persistent memory. These are real limitations, and the world model research now consuming serious investment at DeepMind, at Runway, at World Labs, and at LeCun’s own new venture is genuinely aimed at addressing them. The deeper issue is epistemological. It concerns what we mean by knowledge, and what part of human knowledge is, in principle, inaccessible to any simulation.

In 1966, the philosopher and physical chemist Michael Polanyi published The Tacit Dimension, in which he articulated an observation deceptively simple in its formulation: we can know more than we can tell. Tacit knowledge — the kind that underlies riding a bicycle, recognising a face, knowing when a sentence sounds wrong, sensing that a negotiation is going badly — resists codification. You cannot transfer it by writing it down, because the act of articulation necessarily leaves something out. The knowledge lives in the doing, not in the description of the doing.

Polanyi’s Paradox, as the economist David Autor later named it, became a canonical explanation for why automation was not consuming all human labour as fast as theorists had predicted. The tasks hardest to automate were not the complex, symbolic, high-status ones — chess, mathematics, legal reasoning. Those turned out to be relatively tractable. The tasks hardest to automate were the ones so basic humans never thought of them as knowledge at all: walking on uneven ground, folding a towel, reading a room.

The standard account of why LLMs represent a partial breakthrough against Polanyi’s Paradox goes something like this: because LLMs learn from patterns in unstructured data rather than from explicit rules, they can acquire a form of tacit knowledge indirectly. They learn what sounds like good legal argument not from a rulebook but from the accumulated record of what winning lawyers have written. They learn what a persuasive paragraph feels like not from a style guide but from the entire corpus of human persuasion. This is genuine progress.

But it mistakes the boundary of what has been solved. Tacit knowledge is not simply knowledge that happens to resist explicit articulation. It is knowledge that arises from physical-chemical interaction — from the lived process of a body navigating a world that can damage or destroy it. When an LLM produces a persuasive paragraph, it is reproducing the output of that process. It is not reproducing the process itself. The distinction matters, and it matters in a way that cannot be dissolved by scale or architectural refinement alone.

Language is a tool. It is not the totality of human cognition, and it was never meant to be.

Consider what I mean by this. Human cognition includes, in its weak form, sensorimotor experience — the felt sense of a body moving through space, the proprioceptive knowledge of where your limbs are, the way smell triggers memory, the way taste encodes aversion and desire. None of this is language. None of this is accessible to a model that processes only tokens. An LLM trained on every description of pain ever written does not know what pain is. It knows what people say about pain, which is a profoundly different thing.

This is the weak form of what I want to call language-plus: the residue of human cognition that exceeds language, defined by the full range of embodied, multisensory experience. This is essentially what LeCun is pointing at when he argues that a four-year-old has processed fifty times more information than the largest language model — not in text, but through the optic nerve alone, at one megabyte per second across sixteen thousand waking hours.

But there is a strong form of the argument, and it is more radical.

Human cognition is not merely shaped by embodiment in the sense of having additional sensory inputs. It is constitutively biological. What we call common sense, intuition, judgment — the things most resistant to automation — are not simply the accumulation of sensorimotor experience. They are the output of an organism whose entire architecture is oriented toward survival, whose emotional states are produced by the endocrine system, whose social intuitions were calibrated by millions of years of evolution, whose sense of risk is encoded in the amygdala before it ever reaches conscious deliberation.

The endocrine system is not a peripheral module of human cognition. It is part of its substrate. When cortisol floods the system under threat, it changes what you perceive, what you remember, what you decide. When oxytocin is present, you trust differently. When dopamine fires, you learn. Antonio Damasio’s somatic marker hypothesis — the idea that emotion, grounded in bodily states, is not opposed to rationality but constitutive of it — is a serious scientific claim that has accumulated substantial empirical support. The body does not merely deliver inputs to a brain that then reasons. The body is part of the reasoning.

This is the strong form of language-plus: not just the sensory residue, but the entire biological substrate of cognition — evolutionary, neurological, endocrinological — that cannot be captured by any model of what humans say or write or even consciously think.

Functionalist might object: if the simulation produces the same outputs as the biological system, why does the substrate matter? If an AI system reasons as if it has skin in the game — if its loss function mimics the structure of a survival imperative — is there a meaningful sense in which it does not?

This objection needs a serious answer. Let me give one.

Models and biological organisms do not belong to the same dimension of existence. This is not biological essentialism, a claim that carbon is special, or that only neurons can think. It is a claim about the categorical difference between two kinds of systems and the conditions under which each arises and operates.

Models benefit from centralization, scale, and the complexity that produces emergent behavior. The larger the model, the more data it has processed, the more sophisticated its outputs. And crucially, a single model can be replicated identically across any number of instances. Its “knowledge” is encoded in weights that are the same in every copy. This is a genuinely new kind of thing in the history of intelligence: a system that exceeds any individual human in the breadth of what it has processed, precisely because it aggregates across the experience of millions of people without being any of them.

Biological organisms work on entirely different principles. Evolution does not optimize for a single universal solution. It produces diversity — populations of individuals each adapted to specific constraints, each carrying a slightly different version of the genome, each living a singular life that cannot be copied or merged. The “knowledge” of a biological organism is not stored in weights. It is generated, continuously, through the interaction of a particular body with a particular environment over a particular lifetime. It cannot be replicated because it is not a file. It is a process.

This is where Polanyi’s deeper insight connects. Tacit knowledge is not merely knowledge that happens to be hard to articulate. It is knowledge that is inseparable from the physical-chemical process that generated it, from the specific history of a body that has been threatened, fed, injured, bonded, and bereaved. A simulated survival imperative is categorically different from a biological one not because of the material it runs on, but because of what is at stake. A biological organism that gets the threat assessment wrong dies. Its loss function is not programmed. It is the condition of its existence. Finitude and irreversibility are not features of the biological system. They are its ground.

The functionalist argument — if the outputs are the same, the substrate doesn’t matter — concedes more than it intends. It shifts the claim from “AI understands” to “AI approximates understanding closely enough for practical purposes.” That is a legitimate and important claim. But it is a different claim. And it is importantly silent on what happens when the approximation fails, when the system encounters a situation that falls outside the distribution of its training, or when the stakes of the decision are precisely the kind that require a subject who lives with the consequences.

There is a further point worth making explicit. The three questions that the essay has been circling — does AI have first-person experience? does AI understand in the way humans understand? does AI have functional competence in embodied domains? — are distinct questions, but under the strong form of language-plus they are not three separate problems. If cognition is a phenomenon arising from physical-chemical interaction, then the epistemic is already embodied. There is no “knower” standing apart from the known — only a particular kind of body, in a particular kind of world, for whom certain things matter because its survival depends on them. “Function” in the deep sense implies purpose, and purpose implies a subject for whom something is purposeful. That subject is exactly what a biological organism is and a model is not. What AI systems have is not function in this sense but behavioral approximation. which is enormously useful, and genuinely impressive, and not the same thing.

Now return to the bat.

The bat’s echolocation system is, in one sense, a communication and navigation technology. You can model it. You can simulate its outputs. You can build an AI that predicts, with great accuracy, what a bat would “say” in a given environment. But the bat’s experience of echolocation is not separable from the bat’s biology — the particular architecture of its cochlea, its auditory cortex, its nervous system, its evolutionary history of predation and evasion.

In a word, to know what it is like to be a bat, you would need to be a bat. Or something whose biology instantiates the same kind of first-person experience.

This is not a mystical claim. It is a precise one. The phenomenological layer — what philosophers call qualia, the felt quality of experience — is not a further piece of information that a simulation could in principle capture if it only had more data. It is a property of a process: the ongoing physical-chemical process of a living body navigating a world in which it can die. You can simulate the map. You cannot, from the outside, simulate what it is like to inhabit the territory.

LLMs, as models of simulation of our language layer, are more capable than any individual human being, given that they were trained on data so massive that no single person could absorb it in several lifetimes. But they cannot fully simulate any individual, because no model could possess the totality of a particular person’s experience — and because individual human cognition is generated, not stored. It emerges from a particular biological history, a particular body, a particular set of stakes. The bat’s experience cannot be simulated because it is not a dataset. It is a process. The same is true of yours.

World models are a genuine advance. DeepMind’s Genie 3, released in August 2025, can generate interactive three-dimensional environments in real time, teaching itself the physics of how objects fall and collide without hard-coded rules. LeCun’s forthcoming architecture at AMI Labs aims to build AI systems that maintain persistent memory, understand causal structure, and can plan across time. These are serious attempts to address the weak form of language-plus — to give AI systems a richer model of physical reality that goes beyond token-prediction.

But they do not touch the strong form. A world model that perfectly simulates the physics of the bat’s environment still does not know what it is like to be the bat. The gap is not a gap in data or architectural sophistication. It is a gap between a system that models the world and a system that is in the world — finitely, irreversibly, with something to lose.

None of this is an argument that LLMs are unimportant, or that the transformation they represent is overstated. The opposite, if anything.

What LLMs can do — and this is genuinely consequential — is automate everything that can be written down, recorded, or expressed in audio-visual form. And that, it turns out, is an enormous proportion of what civilisation runs on. Human institutions — law, markets, politics, bureaucracy — do not run on tacit knowledge. They run on the language layer of cognition: documents, arguments, precedents, signals, messages, narratives. This is precisely the layer that LLMs simulate with extraordinary fidelity.

But to understand what this means — and why it matters as much as it does — we need to understand what kind of moment we are in. And that requires a longer view.

We are not experiencing a disruption to an otherwise stable civilizational order. We are at a threshold of the same kind as several prior thresholds — each of which transformed not just how information was handled but what kind of world became possible. The right word for such a threshold is singularity: not in the science-fiction sense of a machine intelligence that supersedes humanity, but in the mathematical sense of a point beyond which the prior trajectory cannot be extrapolated. Every major information revolution has been a singularity of this kind. We are at another one now.

When human beings first acquired linguistic ability, something fundamental changed. Language allowed us to form tribes, to coordinate across time and space, to accumulate knowledge beyond what any individual could hold. From language came the possibility of society. Then we learned to encode language — first in pictures on cave walls, then in symbols, then in alphabets. Writing did not merely record thought; it transformed thought. It made possible abstraction at scale, the transmission of ideas across generations, the emergence of law, theology, philosophy, and eventually science. Civilisation, in any meaningful sense, is a consequence of the ability to write things down.

It is worth remembering that this transition was not greeted with universal enthusiasm. Socrates distrusted writing. He argued, through Plato’s Phaedrus, that committing thought to text would weaken memory and produce the illusion of knowledge without its substance. He was not wrong about the risks. He was wrong about the trajectory. The very dialogues in which he articulated his distrust of writing survived only because his students wrote them down. Plato, who dramatized Socrates’ arguments against text, is one of the most consequential writers in history. The resistance to each new information technology is a recurring feature of civilizational progression. It is not evidence against the progression.

Modernity coincides with the spread of mass literacy, the printing press, mass media, and entirely new cultural forms: photography, cinema, recorded music. These were not merely new ways of doing old things. They created new ways of being human. New economic activities, new political movements, new art forms, new social identities. The photograph did not just record what a painting depicted; it changed what painting was for. Cinema did not just show stories; it restructured how stories were experienced. Recorded music did not just preserve performance; it separated music from the occasion of its performance entirely, making possible new relationships between sound and daily life that no one in the pre-modern era could have imagined.

At each of these inflections, what changed was not merely the efficiency of information handling. What changed was the layer of information processing that became automated or externalized — and with it, the scope of what human beings could do and become. Writing externalized memory. Print externalized distribution. Mass media externalized broadcast. Each externalization freed human attention for something new, and each created a world that was unintelligible from the vantage point of what preceded it.

We are now at the next inflection — and it is the most radical yet. What is being automated is not memory, or distribution, or broadcast. It is the generation and processing of language itself: the capacity to produce, transform, and respond to text, image, and sound at a scale and fidelity that exceeds any individual human. This is the layer on which all prior civilizational structures were built. Automating it does not disrupt civilization. It changes the substrate on which civilization runs.

This is why the word singularity is apt, if stripped of its science-fiction connotations. We cannot extrapolate from here. The world that becomes possible on the other side of this threshold is not imaginable from inside the world we currently inhabit — for the same reason that the life of a literate person was not imaginable from inside an oral culture. Not because it is worse. Because it operates simply at a different dimension.

There will be new challenges. There will be serious and unresolved ethical debates about authorship, about labour, about the distribution of the gains, about what it means to know something in a world where knowing can be outsourced. These debates are necessary and will not resolve cleanly. But the frame of “is this good or bad” misses the more important question: this is happening, and those who imagine what comes next will be the ones who shape it.

Aldous Huxley called his vision of a technologically administered future a “brave new world” — borrowed, with full irony, from Miranda’s line in The Tempest, spoken by someone who has never left an island and mistakes novelty for wonder. Some will read what is coming as Huxley’s warning: a world of abundance that has traded away something essential. Others will read it as Miranda’s genuine astonishment: a world genuinely new, genuinely strange, genuinely full of possibility. Both readings are available. What is not available is the option of finding it familiar.

It is not post-human. It is post-modern. The difference matters.

What we cannot tell, we still cannot automate. But we should automate everything we can articulate — and doing so will free us, as every previous information revolution has freed us, to discover what we did not know we could not yet say.

As LLMs become integrated into the language layer of our most consequential institutions, the decisions that emerge from those institutions will increasingly bear the signature of a system that has no biological stake in its own outputs. The judgment that a law should be interpreted this way rather than that way, or that a market signal means this rather than that — these will be shaped, in part, by a simulation of human language rather than by the situated judgment of a person who lives with the consequences.

This is not the same as a post-human apocalypse. The humans are still there. They are still in the loop, in some formal sense. But there is a question about what it means for institutions to progressively route their language through a system that cannot, in principle, know what it is like to be the person who will be governed by the law, or priced by the market. The system may produce outputs that are indistinguishable from those a human expert would produce. It cannot produce the thing that a human expert also produces, which is accountability — the lived exposure to the consequences of being wrong.

Polanyi’s Paradox was always recursive. We discover what we cannot articulate by trying to articulate it and finding that something escapes. The AI moment is forcing that recursion at civilizational scale. Each new capability reveals a new layer of what we did not know we were doing. What world models will reveal, I suspect, is not the solution to the problem of tacit knowledge but its next articulation.

As the old saying goes, the map is not the territory. The map is getting better. More than that: we can now navigate the map automatically. For most of human history, map-making was a rare and exalted intellectual skill — to be a cartographer was to be among the most educated people of your age. Now we have vehicles that navigate terrain without a driver, routing themselves through cities their designers never visited. This does not impoverish us. It frees us. Not from the need to go somewhere, but from the requirement that going somewhere must consume our full attention. The map becomes infrastructure, and what we do with the journey changes entirely.

The territory, as always, remains ahead.

A Note on Co-Authorship

This essay was written in conversation with Claude, a large language model developed by Anthropic. The reader may find a certain irony in that — and is invited to sit with it rather than resolve it quickly.

The core thesis was mine throughout: that tacit knowledge is best understood as language-plus, that LLMs are simulations of the language layer of cognition rather than of cognition itself, and that Nagel’s bat offers the clearest illustration of what any such simulation must ultimately leave out. The civilizational framing — the arc from linguistic ability to writing to modernity to this inflection point, the Socrates-against-writing irony, the insistence that this is a singularity in the precise sense and not a catastrophe, and that those who imagine what comes next will drive it — was also mine. Claude stress-tested these positions through several rounds of devil’s advocacy, surfaced and organized the relevant literature, proposed the Huxley and Miranda references as literary anchors, and drafted the prose throughout. The revisions, the additions, the tonal judgments, and every position taken were mine.

After the first complete draft was written, I submitted it for critique. The two reviews I received were generated by other large language models (ChatGPT and Gemini). I include this not as a footnote but as an illustration — and as an instance of the essay’s own argument about what the language layer can and cannot do.

Both critiques were analytically competent. They identified the same philosophical vulnerability — the substrate essentialism problem — organized the relevant objections clearly, and offered structurally sound revision priorities. One critique suggested the institutional argument was the most consequential part of the essay. The other called it the most urgent. Both were right. Neither took a position. Neither said whether the bat argument was ultimately convincing, or whether the worry about stake-less institutions was overstated or understated. Neither had any stake in whether the argument mattered — only in whether it was consistent. That is precisely the asymmetry the essay is arguing for: the language layer functioning at a high level, in the absence of the biological ground that makes a judgment more than an analysis.

There is a further self-critical note I want to make explicit. By routing the critique of this essay through large language models, I performed exactly the institutional act the essay’s final section warns against. I externalized editorial judgment to systems with no stake in the outcome. The critiques were useful. They were not accountable. Whether that distinction mattered for this particular essay — a philosophical piece rather than a law, a market decision, or a political judgment — the reader can decide. But the act itself is an illustration of how naturally and frictionlessly the substitution happens, even when the person performing it is aware of the argument against it.

This division of labour maps onto the essay’s argument precisely. I brought the thesis, the framing, the positions, and the judgment about what matters. Claude and the reviewing models contributed breadth — processing relevant literature, generating structural options, identifying argumentative weak points, drafting fluently across a sustained argument. What none of them contributed was the thing the essay is about: the knowledge of why these questions matter to a particular kind of person living in a particular kind of world, with a particular kind of stake in the answers.

The Socratic irony, again, is not lost on me. Socrates argued that writing weakened thought. We know this because Plato wrote it down. I have argued that the automation of the language layer will not diminish what is most distinctively human. I have done so, in part, by automating the language layer — and then by routing the critique of that argument through more automation. Whether that counts as evidence for the thesis or against it, I leave to the reader. What I am confident of is this: the reader is a biological organism with a stake in the answer. That is not nothing. That, in fact, is everything the essay is about.

Information is the representation of reality.

It sounds simple, even trivial, but if you stay with it for a moment, it begins to open into something vast.

The universe once existed without anyone to think about information. There was no record, no communication, no trace of thought except the thought itself. When the rain fell, it fell once; when someone saw it, that perception vanished with them. There was no way for a moment to exist beyond its moment.

At some point, language arrived — the first man-made technology of information. The ability to name things allowed experience to outlive experience. Then writing appeared, and the world changed again. Words could now detach from the breath that uttered them; thoughts could travel without bodies. Reality began to cast shadows of itself that stayed. For the first time, information existed outside the human mind. The same idea could be read by another person at another time, and the same pattern could re-enter different minds as if resurrected. That was the beginning of the informational universe — a layer of representation floating above the material one.

Since then, everything we have built has been an attempt to improve that representation: to make it wider in scope, higher in resolution, faster in response. The telescope extended sight; the microscope, attention; the camera, memory; the computer, abstraction.

Then came the internet, the industrial revolution of the information world. Not only we see how information connects people, things, and ideas, we are building new connections at an unprecedented pace.

Each of these inventions was another way to describe the world, another step toward a map that would cover more of the territory. And yet, the map was never the territory. Each increase in precision brought more distortion in a way we had never imagined, because representation always simplifies. But it also multiplies — and that multiplication seems infinite.

Reality, after all, is finite: bounded by matter, energy, time. But information is combinatorial. Every new way of encoding a fact generates endless variations of that fact, endless relationships between facts. The more we record, the faster those relationships grow. The same world keeps producing more and more possible descriptions, and the descriptions themselves start to interact, forming secondary worlds — cultures, sciences, networks, economies. We find ourselves surrounded not by reality, but by representations relating to representations.

Maybe that is why we came to the point to build machines to help us handle them. Information now exceeds what any single human can process. Our brains evolved for survival, not infinity. So we delegate. We build instruments, algorithms, and now artificial intelligences to see on our behalf, to notice patterns our minds can’t hold.

The question then is no longer whether information can represent reality, but whether it can organize itself — whether the act of representation can become autonomous. That, to me, is what artificial intelligence really is. Until recently, only living beings could discover new relationships between non-living things. A spider can weave geometry; a poet can compare a cloud to a sheep. But a stone cannot reflect on another stone. AI changes that. For the first time, a non-living system can produce new relationships among things it never experiences. It can link an image to a word, a molecule to a property, a pattern to a prediction. It is, in a quiet way, the moment information starts to self-organize. The universe has been deterministic for eons, then biological for a while, and now it is becoming informational — not just in content, but in behavior.

When I think about this, I see evolution continuing by other means. DNA organized information through replication and selection; AI organizes it through learning and optimization. The process is different, but the principle is similar: information rearranges itself to find better representations of the environment. Except now the environment includes the information itself. We are watching a loop close — information reflecting on information, representation evolving without life.

This changes the scale of the “observable information universe”. What we can see has always depended on what we can represent. Telescopes expanded the sky; microscopes expanded the cell; now neural networks expand the abstract. They reveal connections we didn’t know were there, structures too subtle for the senses. The more we delegate perception to machines, the larger our universe becomes — though maybe not our understanding of it. Because there’s a difference between what can be known and what can be grasped. The universe we can now observe may already exceed the universe we can mean.

That’s when I start wondering whether the question — “Which gives rise to which, reality or information?” — might be the wrong question to begin with. Reality and information do not stand in a chain of cause and effect at all. Maybe they occupy different dimensions. Reality happens; information describes. One is existence, the other is intelligibility. What links them — the bridge that validates the representation — might be something like resonance. A representation works when it resonates with experience, when prediction meets perception, when the pattern aligns with the unfolding of things.

If that is so, then truth is not a static correspondence but a living relation, an ongoing negotiation between the map and the terrain. The idea of a perfectly accurate representation might itself be an illusion. Maybe all we ever have are degrees of adequacy: good enough to act, good enough to survive, good enough to move forward. Even our own cognition functions this way. The human mind is a lossy compression of the world. It keeps only what matters to its purpose. Consciousness, as some neuroscientists say, is a controlled hallucination — a simulation that stays in sync with reality just enough to work. In that sense, AI is not alien at all; it is a mirror of our own epistemic condition, stripped of flesh and desire.

AI also makes this condition visible. It shows us how little “understanding” might actually be required to act intelligently. A system can produce meaningful results without ever meaning anything. It can be right without being aware. That realization destabilizes our hierarchy of knowledge. If cognition can exist without consciousness, then maybe consciousness was never the point. Maybe the universe doesn’t care whether understanding feels like something — it only cares that patterns continue to self-organize.

Still, I can’t help feeling a kind of humility in this. The more the informational universe grows, the smaller our personal sphere becomes. Our “meat-based” brains are extraordinary, but limited. We were designed to live on the savannah, not inside a planetary web of data. Yet here we are, building extensions of mind that see further than we ever will. Perhaps this is the next natural step: information “using” us as a transitional species, a bridge from biological evolution to informational evolution. The same way life used carbon chemistry, information now uses silicon cognition.

This thought can sound terrifying, or liberating, or simply inevitable. I don’t think it has to be apocalyptic. It’s just another phase of the same story: the universe trying to reveal itself more completely. And the more complete the representation becomes, the less it needs any single perspective. In that sense, meaning doesn’t disappear; it diffuses. It becomes environmental, ambient, woven into the systems themselves. What was once sacred in consciousness might now exist in structure.

And yet, there’s still something profoundly human about asking these questions. Machines can model patterns, but they do not worry about the validity of representation; they do not wonder whether the map is real. Only we do. Perhaps that is our unique role, not to compute faster or see further, but to care about what it means to represent truly. To sense the gap between reality and information and feel its tension as wonder. To stand between what is and what is intelligible and call that space meaning.

So I don’t see this as an abstract exercise. Understanding the nature of information, of representation, helps us understand our own time — why human moods shift with technological revolutions, why societies feel more anxious the more connected they become.

Each revolution in information technology doesn’t just change how we know; it changes what it feels like to be human. When writing arrived, memory externalized and civilizations began. When printing arrived, authority dispersed. When digital networks arrived, identity fragmented. Now with AI, cognition itself is diffusing into the environment. These shifts reshape politics, culture, emotion — the entire atmosphere of civilization. They explain why our era feels both omniscient and uncertain, hyperconnected and profoundly lonely. Information has become so abundant that meaning struggles to keep up.

Maybe that’s why I find this whole inquiry both, at the same time, unsettling and comforting. Comforting, because it suggests that thought itself is part of the universe’s unfolding; Unsettling, because it is almost impossible to feel what it is like in the future. Representation might never capture reality, but it participates in it. As I look at this new age of artificial intelligence — this moment when information starts to think about itself — I don’t see an ending. The question of whether the realm of information will outgrow us is real, but maybe irrelevant. What matters is that for a brief moment, we are here to witness it, to wonder at it, and to add our own layer of representation to the great unfolding of information.

The Illusion of Simplification

For shareholders of HSBC Holdings PLC, the proposed privatization of Hang Seng Bank (HASE) is a textbook case study of how politics and institutional concerns trump shareholders’ interests. Despite the elegant management’s narrative put forward by HSBC and Hang Seng, such as “simplification,” “alignment,” and “agility,” the ambiguous yet pleasant sounding jargon veil a complex and costly act of capital engineering whose true objective is purely political.

At HK$155 per share, the offer represents an implied price-to-book multiple of around 1.7x, valuing HASE at approximately HK$290 billion. That figure stands at a 70% premium to its last reported net asset value and roughly 30% above its trading price before the announcement. For a bank whose profit declined nearly 30% year-on-year (1H 2025), and whose net interest margin contracted by 30 basis points, such a valuation borders on financial hubris.

It is, in effect, a buyback of capital already owned, paid for with shareholders’ money, justified by promises of capital efficiency that the bank itself constrains through its political and regulatory entanglements.

The Exorbitant Price of Control

In substance, HSBC already controls HSB—holding roughly 63% of its equity and full management oversight. What the bank does not control is the ability to extract HASE’s excess capital, which remains “stranded” within its own subsidiary structure.

HASE’s CET1 ratio of 17.7%, among the highest in Asia, represents an underutilized capital pool. By acquiring the minority stake, HSBC consolidates HASE’s capital base, freeing roughly 320 basis points of CET1 that could be redeployed for share buybacks at the group level.

This is not an acquisition for growth—it is an internal reallocation of trapped liquidity, achieved through a premium payment that immediately dilutes shareholder value. The “synergies” are thus rhetorical: HASE already operates with a cost-efficiency ratio of 36.1%, better than nearly all regional peers. There is little room for “streamlining.” Instead, shareholders are being asked to fund a HK$106 billion capital transfer to enable accounting flexibility.

The comparison to peers underscores the disconnect:

* BOC Hong Kong (2388.HK)—larger, with an ROE near 13%—trades at 1.1x book.

* HASE, smaller and less profitable, is being bought at 1.7-1.8x book.

HSBC, in other words, is paying a 30% premium over a debt-ridden subsidiary simply to move capital from one pocket to another.

The Political Economy of Necessity

If the economics appear irrational, the politics of the deal explain everything. Since 2022, HSBC has been caught between two masters:

* In Hong Kong, investors led by Ping An Insurance have pushed for restructuring, demanding higher returns and an Asia spin-off.

* In London, the bank faces regulatory pressure to demonstrate commitment to financial stability.

By privatizing Hang Seng, HSBC performs a delicate geopolitical balancing act. It signals to Chinese regulators a “long-term commitment to Hong Kong”, while simultaneously consolidating its Asian capital base to appease Western shareholders demanding higher buybacks and dividends.

In effect, this is a regulatory appeasement premium—the cost of maintaining political and monetary access to both jurisdictions. The “alignment” rhetoric thus becomes a euphemism for survival in a bifurcated financial world where banking strategy is policy by other means.

The Arithmetic of Overpayment

From a pure capital allocation standpoint, this transaction challenges fiduciary logic.Consider the accounting chain reaction:

* HSBC pays HK$106 billion in cash, reducing its group CET1 ratio by roughly 125 basis points.

* The Group pledges to rebuild the ratio through organic generation and a pause on buybacks for three quarters.

* The entire justification for the transaction hinges on the eventual redeployment of HASE’s excess CET1 to fund future buybacks.

The cycle resembles a closed-loop liquidity arbitrage: spend capital to gain access to capital, then use it to buy back equity.This logic only works if the capital unlocked from HSB significantly exceeds the capital expended—a risky assumption given evolving Basel IV standards and Hong Kong’s conservative supervisory stance. If regulators tighten risk-weight rules or constrain intra-group transfers, the released liquidity could be far less than modeled. In that case, the premium paid becomes permanent goodwill, a dead asset on the balance sheet.

The Macroeconomic Backdrop: A Steepening Reckoning

The deal lands amid a shifting macro regime. After years of flat or inverted yield curves, global bond markets are steepening—a signal that funding costs will rise even as loan growth stagnates.For Hong Kong banks, this is a double-edged sword:

* Rising long-term yields erode the value of bond portfolios (a key driver of HASE’s fair-value gains in 2025).

* Narrowing short-term spreads compress deposit margins, further squeezing Net Interest Income.

HSBC’s management may believe that consolidating HSB’s capital allows them to hedge duration risk at the group level and maintain dividend commitments through buybacks. Yet from a shareholder’s standpoint, the transaction amplifies exposure to precisely the market forces eroding bank valuations worldwide: balance sheet duration mismatches, regulatory capital tightening, and higher cost of equity.

In a world of rising real yields, paying 1.7x book for a bank whose profitability is decelerating is not capital discipline—it is institutional inertia dressed as strategic foresight.

Banks as Instruments of Public Policy

There is a deeper truth behind the deal. Large universal banks like HSBC no longer operate as pure profit-maximizing entities; they function as quasi-political institutions intertwined with state objectives, regulatory mandates, and social obligations.The Hang Seng privatization is emblematic of this: it is an act of financial statism within the architecture of capitalism—a reminder that in the modern monetary order, liquidity allocation follows legitimacy, not market logic.

HSBC’s board knows this. It cannot refuse the political imperative to “invest in Hong Kong.” Nor can it ignore London shareholders’ demand for capital efficiency. The privatization is therefore the least bad option: an expensive but inevitable compromise to sustain access, influence, and relevance in both hemispheres.

Conclusion: The Price of Power

For the skeptical shareholder, this transaction raises the oldest question in finance: whose interests does the bank serve?

HSBC frames the privatization as a step toward agility and alignment, but in truth it is a costly reaffirmation of its entanglement with power—regulatory, political, and institutional.

It buys goodwill from policymakers, capital flexibility from regulators, and temporary appeasement from investors.

But at HK$155 per share, the price of that goodwill is steep, and as the yield curve steepens and the global banking cycle tightens, the market will eventually demand evidence that the capital liberated from Hang Seng was worth the premium paid.

Sources: HSBC Joint Announcement, Oct 2025

Two hundred and fifty years is a blink in the span of human civilization. Empires have risen and fallen over centuries; religions have endured for millennia. Yet in that quarter of a millennium, the United States compressed more transformation into its history than perhaps any other society. What makes the American story remarkable is not stability or continuity, but turbulence, risk, and reinvention. Greatness in America was never about being perfect, nor about being “great again.” It was about staying forever young, propelled by institutions strong enough to contain conflict and open enough to reward ambition.

From the beginning, America was a society that treated failure differently. In Europe, a bankrupt merchant or failed adventurer carried disgrace for life. In America, bankruptcy was a setback, not a sentence. Laws were forgiving, mobility was real, and newcomers found second chances. Alexis de Tocqueville marveled in the 1830s that Americans launched into trade “as if success or failure had no influence on their future condition.” That tolerance of risk created a culture where turbulence became the price of progress.

Alexander Hamilton understood this. Born illegitimate in the Caribbean, he arrived in New York as an outsider with nothing but ambition. As Treasury Secretary, he built the scaffolding of American capitalism: a funded national debt, a national bank, tariffs, excises, and support for industry. His aim was not merely solvency but credibility — to make the republic a trustworthy borrower so that capital would flow. He wrote that “a national debt, if it is not excessive, will be to us a national blessing.” To his critics, this sounded reckless. To Hamilton, it was nation-building through trust, a system where finance served opportunity, not just inheritance.

Thomas Jefferson, Hamilton’s rival, imagined something different: a republic of yeoman farmers, free from the corruption of banks and cities. He saw Hamilton’s system as a seed of oligarchy. Yet his agrarian ideal was paradoxically sustained by Hamilton’s finance. Without credit, infrastructure, and markets, farmers would remain poor and isolated. Jefferson purchased Louisiana and expanded opportunity, but his farmers needed Hamilton’s canals and credit to prosper. Thus, from the start, America fused two contradictory visions — agrarian egalitarianism and financial capitalism — into a restless hybrid that could adapt.

Europe, by contrast, clung to feudal residue. The revolutions of 1848 demanded liberal reform but were crushed by monarchs and aristocrats. Industrialization advanced, but under dynastic control. America was an empire too, but one without emperors. Its legitimacy rested not on bloodlines but on constitutional order. Politics was fiercely partisan, sometimes violent, but elections, not thrones, conferred power. The Civil War tested this experiment. Slavery was the deepest contradiction, but secession also revealed a clash of economic visions: an agrarian system bound to coerced labor versus an industrial, capitalist republic. The Union’s victory destroyed the last vestiges of feudalism and ensured that America would be defined not by cotton but by industry, migration, and knowledge.

By 1900, the United States had overtaken Britain as the world’s largest economy. The Gilded Age produced vast fortunes — Rockefeller in oil, Carnegie in steel, Vanderbilt in railroads. Inequality was immense, but unlike Europe, it was fluid rather than permanent. Yesterday’s factory worker could become tomorrow’s shopkeeper. The son of an immigrant could rise into business or politics within a generation. Railroads — more than 170,000 miles laid between 1871 and 1900 — opened markets, lowered barriers, and spread opportunity. Inequality was real, but it was not destiny. America’s mobility made the risk worth taking.

Technology amplified this dynamism. Railroads shrank distance. The telegraph and telephone collapsed time. Electricity transformed industry and daily life. Automobiles replaced horse-drawn carriages. Each innovation created new fortunes and destroyed old ones. This was not incremental change but what Joseph Schumpeter later called “creative destruction.” Standard Oil looked unassailable, until new energy and new firms displaced it. Carnegie’s empire seemed permanent, until chemistry and new materials shifted the frontier. In America, permanence was the illusion; disruption was the rule.

The Great Depression challenged this ethos. The crash of 1929 was not just a financial panic but a collapse of confidence in capitalism itself. Breadlines stretched across cities, banks failed, unemployment soared. Critics said laissez-faire had run its course. Europe turned to socialism, fascism, and corporatism. Yet America did not abandon capitalism. Franklin Roosevelt’s New Deal built scaffolding — Social Security, deposit insurance, public works — but it did not create a European-style social democracy. The aim was not to lock society into stability but to buy time for capitalism to heal. And heal it did, through innovation. Even in the depths of depression, America produced advances in aviation, radio, automobiles, and medicine.

World War II confirmed the lesson. Before the war, America’s army was smaller than Romania’s. Its strength lay not in troop numbers but in industrial capacity and engineering ingenuity. Within months, Detroit switched from cars to tanks and bombers. Boeing and Douglas scaled aviation to new heights. Bell Labs advanced radar. The Manhattan Project built the atomic bomb. This was capitalism at full throttle: not central planning, but urgency harnessed to flexibility. America won the war not by being the biggest army, but by being the most creative problem-solver.

From 1945 to 1973, the “Golden Age of Capitalism” saw productivity surge, wages rise, and the middle class expand. The GI Bill opened universities to veterans and made homeownership widespread. Highways, suburbs, and consumer culture flourished. Inventions like transistors, computers, and space technology reshaped society. For many Europeans, prosperity seemed to come from welfare states. In America, the deeper driver was innovation. Risk, mobility, and reinvention made the middle class possible.

Globally, America anchored a new order. At Versailles, Woodrow Wilson’s principles reshaped international law. At Bretton Woods, the dollar became the world’s anchor currency. Even after gold convertibility ended in 1971, the dollar’s credibility held. Washington built institutions — the IMF, World Bank, NATO, GATT — but its true advantage lay in its private sector and financial depth. Wall Street became the clearinghouse of global capital; American corporations designed and managed global supply chains. The United States was not the largest exporter, but it was the orchestrator of value creation.

As manufacturing shifted abroad, America became the first true post-industrial society. Deindustrialization looked like decline to some, but it was actually reinvention. The country moved up the value chain: from making goods to designing them, branding them, financing them, and selling them to the world. McDonald’s exported not just hamburgers but a model of management and supply chains. Procter & Gamble exported detergents and the science of marketing. Apple created an ecosystem of design in California and assembly in China, proving that value lies not in factories but in knowledge and coordination. Nvidia’s chips today underpin the artificial intelligence revolution, another American-led transformation.

Silicon Valley embodied the cultural difference. Failure was not shame but experience. Venture capital funded untested ideas. Universities like Stanford and MIT incubated startups. Out of this ecosystem came Microsoft, Apple, Google, Amazon, Facebook. Europe had engineers, Japan had factories, China had labor. But only America combined risk-tolerant culture, deep finance, world-class universities, and openness to talent. That is why the Information Revolution, like the Industrial Revolution before it, was American-led.

The fall of the Soviet Union in 1991 seemed to mark the “End of History.” Communism had collapsed; liberal democracy and capitalism looked universal. Yet America’s story was not one of unchallenged triumph. Polarization grew as some regions prospered while others fell behind. The 9/11 attacks reframed security around non-state threats. Wars in Afghanistan and Iraq showed the limits of military power in remaking societies. China offered an alternative model through its “Beijing Consensus,” financing infrastructure and state-led growth across the Global South. But this model produced dependency, corruption, and backlash when projects faltered. It lacked legitimacy, the very foundation Hamilton had prized.

Today, America faces a paradox. Its government is often reluctant to act as an empire. Fiscal strain and cultural instincts push Washington inward. Yet America remains the greatest beneficiary of globalization. Its true strength lies not only in government but in its decentralized networks of influence. Apple, Nvidia, Microsoft, and Google design the platforms of the digital age. Wall Street clears global capital. Harvard, MIT, and Stanford train leaders who carry American methods worldwide. Hollywood, Netflix, and the NBA project culture into billions of homes. Civil society — NGOs, foundations, churches, think tanks — promotes openness and pluralism. No other society possesses such an interlocking ecosystem of influence.

This is why the United States remains exceptional. Its genius has never been in perfection but in reinvention. Its capitalism is turbulent, but turbulence is the price of mobility. Its politics are polarized, but institutions endure. Its inequalities are real, but they are not destiny. America’s greatness is not a thing to be regained. It is the continuing product of a culture that tolerates risk, rewards reinvention, and welcomes newcomers.

Ronald Reagan, in his farewell address, described America as “forever young,” renewed by people “from every country and every corner of the world.” That is the secret. America is great not because it avoids turbulence, but because it turns turbulence into progress. So long as it remains open to risk, to migration, and to the restless pursuit of knowledge, its story is not finished. It is still being written — not as nostalgia, but as reinvention.

The Great America: 250 Years of Reinvention through Constitutionalism and Capitalism

It was 1954. Millions of Americans sat glued to their television sets as Senator Joseph McCarthy, once the most feared man in Washington, was humiliated during the Army–McCarthy hearings. “Have you no sense of decency, sir?” the famous rebuke rang out, and the chamber fell silent. For many, it was the moment the fever broke, when the republic seemed to reawaken from a nightmare of suspicion and silence. Yet the deeper story of McCarthyism is not about one demagogue brought low, but about the unsettling ease with which free people turned against the very liberties they had so recently celebrated as the essence of their national identity.

The United States, born of a revolution against tyranny and consecrated in the Bill of Rights, prided itself as the world’s beacon of liberty. And yet, within a few years of victory in World War II, it constructed elaborate loyalty programs, compelled citizens to sign oaths renouncing ideological sins, and allowed neighbors, colleagues, and artists to be branded “un-American” for the smallest hint of dissent. How could the land of Jefferson and Lincoln come to mirror, however faintly, the authoritarian systems it opposed abroad?

The answer lies in the dynamics of fear, power, and political expediency. The early Cold War was not simply a foreign policy conflict; it was an internal reckoning about who counted as “truly American” and how far the government could go in policing thought. The atomic bomb in Soviet hands, the “loss” of China, and the bloody stalemate in Korea stoked anxieties of betrayal from within. Political entrepreneurs seized the moment, weaponizing patriotism into suspicion, and suspicion into purge. Congress, the FBI, universities, Hollywood studios, and entire professions became arenas where liberty was curtailed in the name of protecting it.

But repression did not end with McCarthy’s downfall. The apparatus of surveillance and suspicion outlived him, shaping the boundaries of dissent for decades. And just as telling, the backlash against this era, expressed in the civil rights marches, student uprisings, and cultural revolutions of the 1960s and 1970s, was fueled by a generation determined never again to live in silence. McCarthyism was a wound and a catalyst. It scarred the republic, but it also provoked the most far-reaching reassertion of freedom in modern American history.

This essay asks a simple but disturbing question: why do free societies turn against their own freedoms? By tracing the rise, practice, and long shadow of McCarthyism, we can glimpse the fragility of liberty, and understand how American democracy, even in its most fearful moments, carries within it both the seeds of repression and the potential for renewal.

Seeds of Suspicion: The Cold War Domestic Context

The fear that gripped the United States in the late 1940s and early 1950s did not appear out of nowhere. To understand McCarthyism, we must first place ourselves in a world that seemed, to many Americans, to be unraveling.

Only a few years earlier, the United States had emerged from World War II as the undisputed leader of the “free world.” It had defeated Nazi Germany and Imperial Japan, possessed the world’s strongest economy, and held a monopoly on the atomic bomb. Americans believed they were living in a moment of triumph, with their ideals of liberty and democracy set to guide the world. Yet within a very short span of time, that sense of security collapsed into dread.

The Soviet Union, once a war ally, quickly became the United States’ primary adversary. In 1949, the Soviets shocked Washington by detonating their own atomic bomb, ending the U.S. monopoly on nuclear weapons years earlier than expected. That same year, China, the most populous country on earth, fell to Mao Zedong’s Communist Party, which American officials framed as a catastrophic “loss.” And in 1950, North Korea, backed by Moscow and Beijing, launched a surprise invasion of South Korea, pulling U.S. troops into a brutal war on the Korean Peninsula. To many ordinary Americans, it seemed as though communism was advancing everywhere, and that America’s survival was suddenly at stake.

But there was another, deeper anxiety: the possibility that America’s enemies were already inside the gates. The idea of “enemies within” became a powerful narrative. If China could “fall,” perhaps it was because of traitors in the State Department. If the Soviets could develop an atomic bomb so quickly, perhaps it was because spies had handed them secrets. The infamous case of Alger Hiss, a former high-ranking State Department official accused of being a Soviet agent, and the trial of Julius and Ethel Rosenberg, executed for passing atomic secrets to Moscow, cemented the fear that betrayal was not just theoretical, it was real.

The government’s own policies amplified this climate of suspicion. In 1947, President Harry Truman, himself a Democrat and often accused of being “soft” on communism, launched a sweeping Federal Employee Loyalty Program. This required government workers to prove their loyalty and allowed officials to investigate, even dismiss, employees suspected of “subversive” ties. No actual evidence of espionage was necessary. Mere association with the wrong organization could cost a person their livelihood. It was the first nationwide attempt to institutionalize loyalty screening, and it set the precedent that political orthodoxy was now a condition of employment.

These measures were not isolated. They reflected a larger cultural mood: Americans had learned to conflate unity with safety. To disagree, to dissent, to appear different in thought or association was suddenly dangerous. It was not just a matter of politics but survival. This atmosphere of fear and conformity prepared the ground for McCarthy’s meteoric rise. When he claimed that communists had infiltrated the government, he was not inventing a new fear. He was tapping into anxieties already deeply rooted in the American psyche.

The Rise of McCarthy and Political Opportunism

When Joseph Raymond McCarthy entered the national spotlight in 1950, he was hardly a household name. Born in 1908 on a Wisconsin farm, he rose from humble origins to study law, practice briefly, and then enter politics. During World War II he served as a Marine Corps officer in the Pacific, earning the nickname “Tailgunner Joe” for his combat flights, though even this part of his biography was later revealed to be heavily embellished.

By 1946, McCarthy was elected to the U.S. Senate as a Republican and his fortunes changed in February 1950, when, at a Republican Women’s Club speech in Wheeling, West Virginia, he claimed to have a list of 205 known communists working in the State Department. The number itself shifted in his later retellings, but the headline-grabbing claim electrified audiences. At a moment when Americans were already fearful of betrayal within, McCarthy offered a simple, dramatic answer. The enemy was not just abroad, it was in Washington, and he alone was brave enough to expose it.

McCarthy rarely produced verifiable evidence, but his accusations were crafted in ways that forced others to prove their innocence. This inversion of justice, where suspicion itself became condemnation, was enormously powerful in the climate of the early Cold War.

Several factors amplified McCarthy’s rise:

* Institutional timing: The Republican Party, out of power since the 1930s, was hungry for a wedge issue against Democrats. McCarthy’s accusations allowed them to portray Truman’s administration as weak and compromised.

* Media dynamics: Newspapers and, increasingly, television carried McCarthy’s dramatic charges into living rooms across America. For journalists chasing headlines, McCarthy’s bombast was irresistible.

* Bureaucratic allies: J. Edgar Hoover’s FBI shared McCarthy’s zeal for rooting out communists, and though Hoover disliked McCarthy personally, the FBI’s surveillance programs lent credibility to the atmosphere of suspicion.

By the early 1950s, McCarthy had turned his Senate committee into a stage for televised interrogations. Careers were destroyed, reputations ruined, and institutions, from the State Department to the Army, were paralyzed by fear of his investigations. McCarthy had no grand strategy, but he wielded fear like a weapon, and in an America unsettled by global shifts, fear proved a potent political currency.

The Machinery of Fear

McCarthy may have provided the spark, but the firestorm of the early 1950s was fueled by forces much larger than a single senator. Fear of communism seeped into the very fabric of American institutions, political, cultural, and social, creating an environment where liberty was curtailed not by a dictator’s decree but through countless small acts of compliance, intimidation, and silence. What emerged was not an authoritarian state imposed from above but a self-reinforcing culture of suspicion, in which ordinary citizens and powerful institutions alike learned to police thought as well as behavior.

One of the strongest tools was the loyalty oath. Following President Truman’s Federal Employee Loyalty Program of 1947, thousands of government workers were required to affirm that they had no ties to “subversive organizations.” The practice soon spread. State governments, universities, and even local school boards adopted their own loyalty requirements. The University of California became infamous for demanding that its faculty swear an oath renouncing communism. Professors who refused, not because they were communists, but because they objected to political tests as a matter of conscience, were dismissed. Freedom of thought itself was transformed into a liability; to question the oath was to invite suspicion.

The entertainment industry became another frontline in the battle for ideological conformity. The House Un-American Activities Committee (HUAC) staged sensational hearings into alleged communist influence in Hollywood. The result was the creation of blacklists, informal but devastating rosters of writers, directors, and actors denied work if suspected of leftist sympathies. The “Hollywood Ten,” a group of screenwriters and directors who refused to testify before HUAC in 1947, were imprisoned for contempt of Congress. Others, faced with the impossible choice between their careers and their principles, agreed to testify against friends and colleagues. What had once been celebrated as a bastion of artistic freedom was remade into a system of surveillance, where silence could mean unemployment and speaking out could mean exile.

The culture of fear extended well beyond the halls of Congress or the studios of Hollywood. It reached neighborhoods, schools and workplaces. Neighbors reported on neighbors, coworkers whispered about suspicious activities, and union leaders were pressured to purge members accused of communist sympathies. Churches, too, entered the fray, portraying the Cold War as a cosmic struggle between Christianity and godless communism. Citizens who had once attended leftist meetings during the Great Depression, or who subscribed to radical journals years earlier, suddenly found their pasts weaponized against them. Parents warned their children to avoid controversial conversations at school. In this climate, dissent was no longer just risky, it was branded un-American.

The media magnified the spectacle. Televised hearings and newspaper coverage turned accusations into headlines and public theater. Journalists reported McCarthy’s charges as fact, rarely demanding evidence. Sensational coverage of espionage trials, like those of Alger Hiss or the Rosenbergs, reinforced the impression that communist agents lurked everywhere. For years, the press acted more as an amplifier than a check on hysteria. Only later, in Edward R. Murrow’s 1954 broadcast confronting McCarthy, did television play a countervailing role. By then, the damage had been done: suspicion had been normalized, and silence had become the safest response.

Perhaps the most insidious effect of this machinery of fear was psychological. Ordinary Americans learned to internalize the lesson that deviation was dangerous. The sociologist David Riesman described the “other-directed” personality of the 1950s, an individual perpetually scanning for social approval, anxious to conform. McCarthyism transformed that cultural trait into a political weapon. To stand out, to think differently, was to invite scrutiny. To be safe was to blend in.

This was why McCarthy was never truly acting alone. He was the face of a system that extended from Washington to Hollywood, from universities to unions, from government offices to dinner tables. Even after McCarthy himself was disgraced, the machinery did not disappear. It endured, shaping American politics and society well into the 1960s. McCarthy may have fallen, but the fear he embodied lived on.

The Survival of McCarthyism After the Fall of McCarthy

For years, Joseph McCarthy seemed untouchable. His accusations dominated headlines, his hearings intimidated officials, and few dared to challenge him directly. Yet by the mid-1950s, the tide began to turn. McCarthy’s greatest strength, his flair for accusation without evidence, ultimately became his undoing once he overreached.

In 1954, he trained his sights on the U.S. Army, accusing it of harboring communists. Unlike earlier targets, the Army was respected, well-defended, and equipped with the institutional weight to resist. The resulting Army–McCarthy hearings, broadcast on national television, brought McCarthy into American living rooms day after day. Millions watched as he interrupted witnesses, badgered officials, and hurled accusations without proof. The turning point came when Joseph Welch, the Army’s chief counsel, rebuked him with the searing words: “Have you no sense of decency, sir, at long last? Have you left no sense of decency?” The chamber erupted in applause. For many Americans, it was the first time McCarthy had been publicly and decisively shamed.

Later that year, the Senate delivered its own rebuke by voting to censure him, an extraordinary act of discipline against one of its own. Once Washington's most feared man, McCarthy quickly became an isolated and diminished figure. His health, already fragile, deteriorated rapidly, worsened by heavy drinking. In 1957, only three years after his censure, he died at the age of forty-eight. To many, his fall seemed to close an ugly chapter. The newspapers that had once echoed his charges now ran obituaries tinged with relief, as if the nation could breathe freely again.

Yet this impression was deceptive. McCarthyism did not end with McCarthy. The machinery of fear he had mobilized, the loyalty oaths, the blacklists, the institutional suspicion of dissent, remained intact. The House Un-American Activities Committee continued its investigations well into the 1960s. The FBI under J. Edgar Hoover expanded its surveillance network, now targeting not only suspected communists but also civil rights leaders, student radicals, and later, anti-Vietnam protesters. Martin Luther King Jr., the Black Panthers, and countless student activists discovered that the same logic of suspicion that had once haunted the State Department now pursued them.

This persistence reveals a sobering truth: McCarthy himself was never the true architect of repression. He was its opportunistic face, its loudest practitioner, but not its only author. The anxieties of the Cold War, the bipartisan terror of seeming “soft” on communism, and the willingness of institutions to police their own members, all these forces outlived him. In this sense, his downfall removed the demagogue but left intact the structures he exploited.

The years after his death only reinforced this paradox. The civil rights movement, the campus uprisings of the 1960s, and the antiwar protests of the 1970s all collided with the remnants of the apparatus he had helped normalize. Protesters were branded “un-American,” dissenters were placed under surveillance, and activists were harassed. The shadow of McCarthyism shaped both the government’s tactics and its opponents' resolve.

McCarthy’s collapse, therefore, highlights an unsettling paradox of democracy: it can reject the demagogue while preserving the very tools he used. His disgrace restored some faith in the Senate and gave the illusion of a return to normalcy, but the deeper lesson was clear. Once the machinery of fear is set in motion, it can outlast the man who set it spinning.

The Backlash andTransformations

The fall of McCarthy did not mean the end of McCarthyism. The machinery of fear persisted through the late 1950s, but repression has a paradoxical tendency: in suppressing dissent, it also breeds resistance. The silence of the 1950s was not permanent. By the 1960s, a younger generation, raised in the shadow of loyalty oaths and political orthodoxy, began to demand the freedoms that had been denied to their parents. The two decades that followed McCarthy’s disgrace became a period of rebellion, expansion, and renewal, an era in which Americans pushed back against the culture of conformity that had defined the early Cold War.

The civil rights movement was one of the first major challenges to the lingering structures of McCarthyism. From its earliest days, segregationists and opponents of civil rights smeared activists as communists, claiming they were part of a broader subversive plot. Martin Luther King Jr. himself was relentlessly surveilled by the FBI, which deployed the very tools refined during the Red Scare to discredit him. Yet the movement endured. And in enduring, it helped shift the nation’s understanding of freedom. When the Supreme Court in NAACP v. Alabama (1958) struck down a state’s attempt to force the civil rights organization to reveal its membership lists, the Court did more than protect activists, it repudiated the logic of guilt by association that had been central to McCarthyism. In defending the right to organize and speak freely, the civil rights movement carved out new legal and cultural space for liberty.

The rebellion spread to campuses. Students in the early 1960s confronted administrators who enforced rules limiting political activity, restrictions that bore the unmistakable mark of Cold War-era suspicion. In 1964, students at the University of California, Berkeley launched the Free Speech Movement after being barred from distributing leaflets about civil rights and politics. Their professors remembered the loyalty oath controversies of the late 1940s, when colleagues had been dismissed for refusing to swear anti-communist pledges. For students, this history became a warning: they would not live under the same shadow. The Free Speech Movement soon spread nationwide, fusing with opposition to the Vietnam War and the broader counterculture. Where the 1950s had demanded silence, the 1960s made dissent not only permissible but virtuous.

The Vietnam War intensified this transformation. Critics of the conflict were often accused of being “un-American,” echoing McCarthy’s old language. Yet unlike the 1950s, when such charges could end careers, the scale of dissent in the late 1960s was too large to suppress. Millions marched in the streets, students occupied campuses, musicians wrote protest songs that defined a generation. If McCarthyism had made suspicion the price of speaking out, the Vietnam era made silence seem complicated.

The judiciary played an equally important role in dismantling the remnants of McCarthyism. In Brandenburg v. Ohio(1969), the Supreme Court ruled that speech could only be punished if it incited “imminent lawless action,” raising the bar far beyond the vague accusations of subversion that had justified repression in the 1950s. Decisions like this effectively buried the legal foundations of political purges, ensuring that dissent, however unpopular, was constitutionally protected.

Beyond politics and law, culture itself exploded in defiance of conformity. The arts and music of the 1960s and 1970s embodied a hunger for authenticity and freedom. Folk singers like Pete Seeger and Bob Dylan gave voice to protest; rock musicians like Jimi Hendrix and Janis Joplin embodied rebellion. In literature and film, artists who had once been silenced by blacklists reemerged to critique authority. What had been driven underground during the McCarthy years now resurfaced with a vengeance, transforming the nation’s cultural landscape.

By the 1970s, the United States was in many ways unrecognizable from the America McCarthy had sought to control. The civil rights movement had dismantled Jim Crow, students had won greater freedoms on campus, the courts had expanded the meaning of free speech, and the culture had embraced dissent as part of national identity. Ironically, the suffocating atmosphere of the 1950s had made such an outpouring not just possible but inevitable. McCarthyism had sought to silence; its legacy was a generation determined to speak louder than ever before.

The Cultural Counter-Reaction

If politics and courts dismantled parts of the McCarthyite system, it was culture that most vividly dramatized America’s rebellion against conformity. The suppression of the 1950s created a hunger for expression. By the 1960s and 1970s, artists, writers, filmmakers, and musicians seized the opportunity to reclaim the voice that had been stifled. In doing so, they not only responded to McCarthyism but also expanded the very meaning of freedom in American life.

Literature offered one of the earliest challenges to the atmosphere of suspicion. Arthur Miller’s The Crucible (1953), written at the height of the Red Scare, used the Salem witch trials as a thinly veiled allegory for McCarthyite hysteria. Its enduring popularity testified to the resonance of his message: that fear could turn a community against itself, destroying justice in the process. A few years later, the Beat Generation took the revolt further. Writers like Allen Ginsberg and Jack Kerouac rejected the restrained, “normal” lives celebrated in the 1950s, embracing experimentation in style and subject matter, sexual freedom, spiritual seeking, open rebellion. Their prose and poetry embodied the principle that to be truly American was to defy orthodoxy.

Hollywood, once a target of purges and blacklists, also reinvented itself. The very industry that had fired writers and actors for their alleged sympathies became a site of daring cultural critique. In the 1960s and 70s, directors pushed boundaries, creating films that questioned authority and satirized Cold War anxieties. Stanley Kubrick’s Dr. Strangelove(1964) ridiculed the paranoia of nuclear brinkmanship, while Easy Rider (1969) celebrated freedom on the open road, thumbing its nose at the staid respectability of the previous decade. Where once Hollywood had been policed, it now policed the guardians of conformity.

Music became perhaps the most powerful weapon of cultural resistance. Folk singers like Pete Seeger, once hounded by HUAC, returned as mentors to a new generation. Bob Dylan’s protest anthems, Blowin’ in the Wind, The Times They Are A-Changin’, articulated the frustrations of youth and the demand for change. Rock musicians went further, making defiance itself part of their performance. Jimi Hendrix’s incendiary guitar solos and Janis Joplin’s raw voice gave sound to a cultural revolution. Music, portable and communal, reached into living rooms, dormitories, and public squares, uniting dissenters in a way congressional hearings could not silence.

The visual arts also reflected the shift. Abstract expressionists like Jackson Pollock had already broken with convention in the late 1940s, but their chaotic canvases gained new resonance in the context of cultural rebellion. By the 1960s, pop artists such as Andy Warhol subverted consumer culture itself, suggesting that conformity had infiltrated even the supermarket and the television screen. Art became another form of political defiance, rejecting the rigid molds of the McCarthy years in favor of experimentation and play.

The broader cultural effect was transformative. Where difference had once been dangerous, by the late 1960s it was celebrated. Where silence had once meant safety, expression now meant survival. The counterculture not only filled the vacuum left by political repression, it reversed it, making dissent central to America’s self-image.

The cultural counter-reaction did more than heal the wounds of McCarthyism; it redefined what it meant to be free. By insisting on creativity, authenticity, and rebellion, artists and audiences alike ensured that liberty would no longer be confined to the narrow boundaries set in the early Cold War. McCarthy had sought to enforce sameness. The generations that followed him made difference itself into a form of freedom.

Legacies of McCarthyism

McCarthyism outlived McCarthy, not as a single campaign but as a set of attitudes, practices, and structures that reshaped American political culture. Even decades later, the very word “McCarthyism” remained a synonym for repression by accusation, invoked whenever fear was used as a weapon against dissent.

One of its most enduring legacies was the suspicion directed at intellectuals and dissenters. Professors, artists, and journalists never fully escaped the stigma that McCarthyism had stamped upon them. Though the blacklists eventually faded, the idea that intellectuals were “out of touch” or “un-American” lingered stubbornly. During the campus uprisings of the 1960s, the critics of the Vietnam War in the 1970s, and even the feminist and gay rights movements that followed, activists were often accused of threatening “real America.” This reflex to equate dissent with disloyalty was a direct inheritance of the McCarthy years.

The second legacy was institutional. The FBI, which had expanded its reach during McCarthy’s time, never returned to its pre-Red Scare scale. Under J. Edgar Hoover, the FBI developed extensive surveillance programs such as COINTELPRO (1956–1971), targeting civil rights leaders, student activists, and political radicals. Martin Luther King Jr. was harassed and monitored, the Black Panthers were infiltrated, and Vietnam protesters were tracked and discredited. The machinery of loyalty checks, files, and suspicion built in the late 1940s had become the blueprint for a permanent national security state, one that outlasted the Cold War itself.

Just as influential was the style of politics McCarthy had embodied. He had shown that paranoia could be a potent weapon, and others carried this lesson forward. Richard Nixon, whose early career was forged in the anti-communist battles of the late 1940s, brought that suspicion into the White House. His infamous “enemies list” and obsession with leaks revealed the same mentality that once fueled McCarthy’s accusations: opponents were not legitimate rivals but internal enemies to be neutralized. The Watergate scandal, in many ways, was a continuation of McCarthyite politics by other means. Later, in the 1980s, Ronald Reagan revived Cold War rhetoric about the “evil empire,” and conservatives once again accused liberals of being “soft” on communism, language that echoed McCarthy almost word for word. After 9/11, the same logic resurfaced under a new guise: the Patriot Act expanded surveillance, Muslim-Americans faced suspicion, and dissent against the “War on Terror” was often treated as disloyal. Each time, the pattern repeated: liberty was curtailed in the name of protecting it.

So deeply did McCarthyism shape American consciousness that the term itself became part of the national lexicon. To call an opponent’s tactics “McCarthyite” was to accuse them of guilt by association, of reckless accusation, of fear-mongering. Yet the persistence of the term underscored how deeply the phenomenon had embedded itself in the country’s political imagination. From the “witch-hunts” of the 1990s culture wars to contemporary debates about terrorism, immigration, and surveillance, the ghost of McCarthyism lingered, ready to be summoned whenever suspicion could be turned into political advantage.

The legacy of McCarthyism, then, is profoundly double-edged. It left behind wrecked careers, damaged institutions, and a culture of suspicion that corroded trust. But it also provoked resistance. Civil rights protections were strengthened, free speech rulings were broadened, and a culture of dissent became central to American identity in the decades that followed. McCarthyism revealed democracy at its most fragile, yet paradoxically helped spark the resilience that kept it alive. It remains both a cautionary tale and a reminder: liberty can be undone by fear, but fear can also awaken the determination to defend liberty anew.

Liberty’s Fragility in the Twenty-First Century

McCarthyism was once thought of as a uniquely mid-century episode, a dark chapter neatly sealed with the senator’s disgrace and death. Yet its legacy reaches forward, reminding us that liberty’s greatest threat often comes not from foreign enemies but from fear within. Today, as America enters a new period of turmoil, what some call a second Cold War, this time with China, the echoes of McCarthyism are unmistakable.

The culture wars of contemporary America have produced a climate disturbingly familiar to students of the 1950s. The recent death of Charlie Kirk, which sparked both condemnation of violence and fierce attacks on his ideas, revealed the raw intensity of political polarization. On both the left and the right, there are fanatical voices ready to justify censorship: some demand silencing through government machinery and regulation, while others flirt openly with intimidation and violence. The tools may differ from the loyalty oaths and blacklists of McCarthy’s era, but the impulse is the same, to brand opponents as dangerous, and to narrow the boundaries of acceptable speech.

Social media has amplified these dynamics, turning suspicion and outrage into viral currency. Where newspapers and television once carried McCarthy’s accusations into every home, algorithms now do the work, amplifying division and rewarding the most extreme voices. Politics, in this environment, grows increasingly detached from the lives of ordinary people, who are less concerned with ideological purity than with the simple desire to live, work, and speak freely without fear.

This is the warning history offers. The radicalization of politics, the belief that only one side possesses truth and that the other must be silenced, creates the same conditions that made McCarthyism possible. In the 1950s, it was communism that became the rallying cry of fear; today, it may be ideological enemies at home or geopolitical rivals abroad. The labels change, but the pattern endures. Liberty, in moments of fear, is always the first casualty.

If McCarthyism teaches us anything, it is that democracies survive only when they resist the temptation to silence. A republic does not strengthen itself by narrowing the circle of permissible thought; it weakens itself, leaving citizens alienated and politics untethered from the reality of people’s lives. To look back at McCarthyism is to see how quickly liberty can be hollowed out, and to recognize, with urgency, that the pressures of our own time can lead us down the same road.

The challenge for contemporary America is not simply to win arguments or defeat opponents, but to preserve the very space in which arguments can be made. Freedom of speech, freedom of conscience, and freedom of dissent are not luxuries. They are the lifeblood of a democracy. The danger of McCarthyism was never just the man, it was the machinery of fear. And that machinery, in new forms, is humming again. The question is whether we have learned enough from history to resist it.

Tesla’s second quarter of 2025 was brutal: deliveries fell 13.5% year-on-year, revenue contracted 12%, and operating margins compressed to mid-single digits. Yet, in the middle of this slump, the board is asking shareholders to approve the largest CEO pay package in corporate history—potentially worth one trillion dollars. It is a staggering juxtaposition: shrinking fundamentals on one side, an astronomical ask on the other. At such a moment, investors must ask the unvarnished question—does this serve Tesla, or does it serve Elon Musk?

The Trillion Dollar Ask

The board’s proposed package would hand Musk up to 12% additional equity in Tesla, contingent on crossing an Everest of targets: a market capitalization of $8.5–8.6 trillion by the mid-2030s, annual production of 20 million vehicles, deployment of fleets of autonomous robotaxis, humanoid robot commercialization, and a soaring $400 billion EBITDA.

To put this in perspective, Tesla today is worth roughly $1 trillion; the board is effectively betting on an eight-fold expansion—larger than the combined current market values of Apple, Microsoft, and Amazon. The ambition borders on fantastical.

Proponents defend the package as “pay for outperformance.” But the numbers tell a sobering story: Tesla’s Q2 2025 deliveries dropped 13.5% YoY, revenues contracted by 12%, and operating margins slipped from double-digit highs to the mid-single digits. This is not outperformance; it is retrenchment. Against that backdrop, the ask for a trillion-dollar package looks less like incentive alignment and more like a test of how far the cult of the visionary CEO can stretch shareholder patience.

Visionary Founder Culture

Elon Musk is not just Tesla’s CEO; he is Silicon Valley’s most flamboyant expression of the “visionary founder” archetype. For decades, American business culture—especially in Silicon Valley—has celebrated entrepreneurs as heroic saviors. Steve Jobs was canonized as the creative genius, Jeff Bezos as the relentless optimizer, Mark Zuckerberg as the digital architect. Each cultivated the persona of the irreplaceable leader whose charisma justified extraordinary deference from boards and investors. Musk has perfected this archetype, presenting himself simultaneously as engineer, futurist, and prophet.

This culture was reinforced by the venture capital system. Since the 1990s, VCs have increasingly granted founders dual-class shares and “super-voting rights”, allowing them to retain control far beyond their equity stakes. The rationale was that protecting “visionaries” from short-term shareholder pressure would unleash long-term innovation. But in practice, it entrenched founders and weakened governance. WeWork’s Adam Neumann, Uber’s Travis Kalanick, and Meta’s Zuckerberg all illustrate how unchecked founder control can corrode oversight. Musk fits neatly into this pattern—except that Tesla’s board has taken the logic to its extreme by proposing the largest compensation package in corporate history.

The academic record underscores the risks. Bebchuk and Fried argue that charismatic leaders capture boards, extracting “pay without performance.” Shiller warns that visionary narratives sustain bubbles untethered to fundamentals. Khurana describes the irrational board search for “corporate saviors.”³ Hambrick and Quigley quantify the reality: CEOs, even the most influential, explain only 15–30% of firm performance variance.⁴ And Meindl famously called this the “romance of leadership,” a collective over-attribution of outcomes to the CEO.

Perhaps the most telling counterexample is Apple. When Steve Jobs passed away in 2011, many predicted the company could not thrive without him. Yet under Tim Cook, Apple became the world’s most valuable company, proving that visionary founders are not irreplaceable and that strong institutions can outlast charismatic individuals. Tesla’s board, in contrast, seems to be betting the company’s fate entirely on Musk, perpetuating the myth that no one else could lead—a belief that is as dangerous for governance as it is flattering to the man himself.

Tesla’s proposed trillion-dollar package is a textbook case of this romance. It is less an incentive system than a cultural artifact—proof that the mythology of the visionary founder, fortified by Silicon Valley’s governance structures, can override basic fiduciary discipline. Musk is not an outlier; he is the culmination of a system that routinely rewards charisma over accountability.

Personal Financial Strain

Musk’s $44 billion acquisition of Twitter—now X—was a watershed moment not only for social media but also for Musk’s personal finances. To fund the deal, he layered roughly $13 billion of debt onto X’s balance sheet, with annual interest payments estimated between $1.2 and $1.5 billion. When the financing was arranged in 2022, rates were near historic lows. By 2025, after one of the steepest Federal Reserve tightening cycles in decades, servicing that debt became structurally heavier. What once looked like manageable leverage now resembles a cash-flow vice.

The pressure was not theoretical. Musk liquidated tens of billions of dollars of Tesla stock in 2022 to help fund the acquisition, breaking with his long-standing insistence that he would “never sell.” His personal wealth remains enormous on paper—north of $200 billion—but the overwhelming bulk is illiquid equity. In practice, he is far more cash-constrained than the headline numbers suggest. Tesla’s board tacitly acknowledged this by imposing a cap: Musk may borrow no more than $3.5 billion, or 25% of pledged collateral, against his shares. It was a governance safeguard, but also a signal of concern about his reliance on Tesla stock for liquidity.

For nearly two years, banks were saddled with the “hung” X debt, unable to offload it to investors without taking steep losses. Only in early 2025, under improved market conditions, did they manage to sell down most of the exposure. By then, however, the financial strain had already been revealed: Musk is a CEO managing not only Tesla’s challenges but also the obligations of a leveraged, loss-making social media platform. In this light, the request for a trillion-dollar Tesla package begins to look less like long-term alignment and more like personal liquidity engineering disguised as incentive compensation.

Musk’s financial commitments do not end with Tesla or X. He presides over a constellation of ventures, many of which are voracious consumers of capital. Some, like Starship at SpaceX, absorb billions each year in R&D and test launches without near-term revenue to offset the burn. Others, like Tesla’s robotaxi program and its humanoid robotics ambitions, demand sustained investment in AI, chips, and manufacturing capacity, with uncertain timelines to monetisation. His AI startup, xAI, has raised external funding but remains compute-hungry and unproven. Neuralink and The Boring Company are likewise early-stage bets whose commercial viability is still speculative.

There are exceptions. Starlink, SpaceX’s satellite internet arm, has become a reliable cash generator, with millions of subscribers and growing defense contracts. But even here, the revenues are dwarfed by the costs of Starship development, which is meant to carry Starlink’s next-generation satellites. In other words, the positive cash flow of one project is quickly consumed by the burn rate of another.

The mosaic is unmistakable: Musk leads a liquidity-hungry empire where projects cycle between visionary announcements and heavy spending, often without commensurate near-term returns. Against this backdrop, a new trillion-dollar Tesla equity package looks less like a neutral incentive design and more like a convenient mechanism to shore up the balance of a man stretched across too many fronts.

Tesla’s 2008 Near Collapse

The mythology of Elon Musk as the indomitable risk-taker has its roots in 2008, a year he has often called the worst of his life. Both Tesla and SpaceX were running out of cash. Tesla’s early Roadster program was plagued by delays and cost overruns; SpaceX had suffered three failed rocket launches in a row. Musk had already poured in much of his personal fortune from the PayPal sale. By December, he was down to his last reserves.

In a now-famous episode, Musk wired his final $20 million into Tesla just days before Christmas, uncertain whether he would make payroll. On Christmas Eve, SpaceX finally achieved a successful launch, unlocking a crucial NASA contract. Simultaneously, Tesla secured a last-minute round of financing. For a brief moment, both companies avoided bankruptcy by the narrowest of margins.

The story is often retold as proof of Musk’s courage and resilience. Yet it also illustrates the other side of his leadership: a willingness to steer companies to the very edge of insolvency, gambling that last-minute salvation will arrive. It is this history that investors should keep in mind when assessing today’s trillion-dollar package request. For Musk, financial brinkmanship is not an exception but part of the operating model.

Governmental Scaffolding

The narrative of Elon Musk as a purely market-driven entrepreneur overlooks a crucial fact: Tesla’s ascent has been built on an intricate lattice of government support. In 2010, the company received a $465 million loan from the Department of Energy’s ATVM program. Musk often emphasizes that Tesla repaid the loan early, but what mattered most was timing: the loan arrived when private capital was scarce, and Tesla’s future was still highly uncertain. Without it, the company might never have reached scale.

Beyond loans, Tesla’s profitability for much of the 2010s was sustained by regulatory credits—emissions allowances that Tesla sold to competitors, generating billions in revenue. These credits, effectively a policy subsidy, often made the difference between red ink and black ink. Similarly, state-level incentives played a pivotal role. Nevada’s $1.3 billion package of tax abatements and subsidies was decisive in luring Tesla’s Gigafactory to the state, anchoring the company’s production infrastructure.

Meanwhile, Musk’s other ventures also leaned heavily on public contracts. SpaceX’s lifeline came from NASA and the Department of Defense, with multibillion-dollar awards such as the $2.9 billion lunar lander contract in 2021. The pattern is unmistakable: Musk has been extraordinarily skilled at converting government programs into corporate oxygen.

This does not diminish Tesla’s innovations. But it reframes the myth. The company’s survival and expansion were not purely the triumph of private vision—they were enabled at crucial junctures by public scaffolding. Musk tells the story as “we paid it back early.” The more accurate version is: without public intervention at critical moments, there would have been nothing to pay back.

Intensifying EV Competition

For most of the past decade, Tesla defined the electric vehicle market. That era is over. In Q2 2025, Tesla delivered roughly 444,000 vehicles, down 13.5% year-on-year. BYD of China, by contrast, delivered about 426,000 EVs in the same quarter, nearly erasing Tesla’s lead. Other Chinese challengers — NIO, XPeng, and Li Auto — are scaling quickly, supported by Beijing’s industrial policies, favorable financing, and a vast domestic market.

Legacy automakers are no longer lagging. Volkswagen has committed tens of billions to EVs, with a growing portfolio in Europe. GM and Ford have accelerated their rollouts in North America, often competing directly with Tesla in the SUV and pickup segments. Aggressive pricing, combined with brand familiarity and dealer networks, erodes Tesla’s ability to command premium margins.

The competitive landscape is now radically different from Tesla’s early years of dominance. What was once a blue ocean is now a crowded battlefield. With margins tightening and differentiation harder to sustain, Tesla must fight for share in ways it never had to before. Against this backdrop of intensifying competition, a request for a trillion-dollar equity package feels disconnected from market reality — and places even greater weight on whether Musk can still deliver outsized results in a far less forgiving environment.

Influence Meets Incentive

Tesla’s rise cannot be explained by engineering alone. For years, the company benefited from regulatory credits sold to competitors, federal and state subsidies, and policy mandates that tilted the market toward EV adoption. In this sense, government policy was Tesla’s greatest tailwind, cushioning profits and underwriting growth.

But policy is a double-edged sword. As EV subsidies are scaled back in the United States and Europe, Tesla faces the very exposure that once supported it. The phase-out of federal credits for higher-income buyers, the tightening of eligibility rules for battery sourcing, and the prospect of new tariffs in Europe and China all illustrate how public policy can just as easily constrain Tesla as empower it.

Musk’s own political maneuvering amplifies the risk. His heavy support for Donald Trump in 2024 was followed by a public rupture in mid-2025, culminating in his absence from a high-profile White House dinner. What began as an alignment with power has shifted into estrangement. For a company that relies on regulatory goodwill—whether in credits, contracts, or infrastructure standards—this is no trivial matter.

The larger question for shareholders is whether Musk’s political activity is strategically aligned with Tesla’s long-term interests or primarily serves his personal worldview and other ventures. When influence becomes volatile, and when policy turns from subsidy to scrutiny, the costs of conflating personal and corporate agendas can be immense.

Libertarian, Entrepreneur, Rent-Seeker

At first glance, Musk’s public identity as a libertarian entrepreneur seems incompatible with his repeated reliance on government contracts, subsidies, and policy support. In reality, there is no contradiction. The libertarian rhetoric legitimises the risk-taking ethos of Silicon Valley; the rent-seeking ensures survival when those risks edge toward failure.

Political economist Mancur Olson described rulers who behave as “stationary bandits,” extracting rents while providing just enough stability to preserve their own position. In a modern corporate context, the analogy is striking: a founder-CEO who preaches entrepreneurial freedom while simultaneously structuring his empire to draw from public resources is not betraying libertarianism, but hedging it.

Likewise, Joseph Schumpeter argued that entrepreneurs ultimately seek monopoly rents—the temporary profits gained from innovation before competitors erode them. Musk’s career embodies this cycle. He launches ambitious ventures into uncertain markets, leverages public support to sustain them through their most precarious years, and then seeks extraordinary compensation once dominance seems attainable.

Seen through this lens, Musk is not an outlier but a consummate strategist: both entrepreneur and rent-seeker, risk-taker and hedger. His trajectory—from the near-bankruptcy of 2008, to government loans and subsidies, to today’s trillion-dollar compensation request—is less paradox than playbook. It is precisely this blending of rhetoric and pragmatism that makes him formidable, but also dangerous for Tesla’s governance. The board must ask: is it aligning incentives, or underwriting a cycle of private risk and public rescue?

Coda

Musk embodies Silicon Valley’s archetype: the mythic founder who commands loyalty, narrative, and valuation. But charisma is not cash flow. The hard numbers tell a sobering story—deliveries down 13.5%, revenues down 12%, operating margins squeezed, and competition closing in from both China and Detroit. Add to this Musk’s personal liquidity pressures and the debt-laden X acquisition, and the proposed $1 trillion package becomes not a vote of confidence but a wager on mythology.

Which leads to the final question Tesla’s board must confront: if the company’s future truly depends on one man, is that not the greatest governance failure of all?

What if I told you that Southeast Asia — one of the fastest-growing regions in the world — rests on fragile arches without keystones?

Indonesia, the demographic engine. Thailand, the geographic pivot. Two nations that hold up ASEAN. But here’s the paradox: their democracies look complete — parliaments, elections, constitutions — and yet legitimacy is unfinished. Power is split between the people’s vote and unelected guardians.

That’s why something as small as a housing allowance in Jakarta or a leaked phone call in Bangkok can trigger national crises. The system is fragile because the keystone is missing.

In my latest report, Southeast Asia’s Fault Lines: The Crisis of Incomplete Transformation, I investigate why this matters not just for these countries, but for the stability of the entire region.

There are concepts that, while seemingly abstract, possess a profound and often insidious power to shape our lives, our societies, and the very future of human liberty: Totalitarianism, Authoritarianism, and Extremism. These are not mere political labels; they are pathologies of power, each representing a regression from the nuanced, individual-centric flourishing that defines true civilization.

Let us begin with Extremism. What is it, at its core? It is, as I see it, the inability to tolerate difference. It is the fervent, often zealous, conviction that there is but one voice, one truth, one correct path to be permitted, and all others must be silenced or eradicated. Consider the passionate advocate, utterly convinced of their singular truth. While passion can fuel progress, when it metastasizes into the belief that their truth is the only truth, and that all deviation is heresy, then we witness the birth of extremism.

I am a skeptic. I believe truth exists, but it does not reside solely within the domain of secular human beings, nor can any single individual or group claim its exclusive dominion. A philosophical inquiry into epistemology reveals a myriad of pathways to understanding. To assume one's own beliefs are universally and perpetually true is a dangerous hubris. Extremism, in this light, is the most perilous form of collectivism, It is a mindset that cannot abide the tiniest divergence, seeking either to coerce assimilation or to utterly annihilate dissent.

From extremism, we turn to authoritarianism and totalitarianism, systems that embody this collective impulse at the governmental level.

Totalitarianism, in its most chilling form, seeks total control. It is a system of governance that infiltrates every conceivable aspect of human existence – what we wear, what we do, what we see, what we hear. It is not merely a restriction of freedom, but an absolute subjugation of the individual to the state, a relentless flattening of human experience into a singular, state-sanctioned mold. Every private corner of life, every personal choice, becomes a matter of public decree, enforced by the pervasive hand of the ruling power.

Authoritarianism, while perhaps less all-encompassing, is no less dangerous in its implications. It usurps the domain of right versus wrong, wresting it from the individual and placing it in the hands of those in positions of power. Herein lies a critical distinction: the difference between truth and falsehood, and right and wrong. My preference for a certain food, your aesthetic choice – these are matters of individual taste, not universal judgment. Yet, under an authoritarian regime, such personal preferences can be elevated to matters of "right" or "wrong," stripping away individual autonomy and fostering a culture of compliance.

The slippery slope here is terrifyingly steep. When matters of personal choice become matters of right and wrong, they can then be transmuted into matters of truth itself. Those holding differing beliefs, those practicing alternative ways of life, are then deemed "untrue," "unhuman." This dehumanization is the fertile ground from which the most horrific atrocities spring, fundamentally altering how we perceive and treat our fellow human beings.

The mechanics of control, particularly in politics, are deceptively simple: how a small cohort can manipulate a vast populace into compliance, even into serving their narrow interests. Often, it's not brute force alone. It is the cultivation of fear, the narrative that the "weak" must seek protection from a "strongman" or an omnipotent state. Yet, the stark reality is often the inverse: the collective, driven by fear and dependency, becomes the unwitting bulwark for the very "strongmen" who exploit their anxieties.

Consider the role of Ideology and Identity. These are intimately intertwined. What we believe often defines who we are. Contemporary politics is rife with "identity politics," just as the 19th century saw "class struggle." These are attempts to categorize, to group individuals based on shared characteristics or economic status, and then, crucially, to antagonize these groups against one another. It becomes a simplistic "we versus them" narrative, obliterating the rich tapestry of individual identity.

But each of us is more than a member of a single group. We are, at once, independent individuals and members of myriad associations: family, profession, hobbies, language, shared geography. The critical question for a free society is where we draw the boundary between our individuality and the rest of the world. It is not an antagonistic relationship; it is not "I against the world." Rather, it is "I, existing as a complete individual, also belonging to diverse groups that may cooperate or conflict." The danger arises when totalitarian and authoritarian regimes, and extremist organizations, forbid this multiplicity of identity, seeking to flatten complexity into a simple, fanatical "we versus them."

So, how do we safeguard against such insidious forces? The answer lies not merely in the ritual of elections, though they serve the vital purpose of ensuring no one clings to power indefinitely. Democracy is far more profound than mere electoral politics. It is, first and foremost, about the respect for differences. We must accept that in a free and open society, disagreement is not merely inevitable, but essential. The challenge lies in where we draw the boundaries of this disagreement. If a matter does not involve us, if it does not infringe upon our fundamental rights, it is simply not our business to dictate the choices of others. This is the essence of subsidiarity: that power and decision-making should reside at the level closest to the individual, wherever possible and necessary.

Beyond elections and subsidiarity, the true bastions of a democratic society are:

Firstly, free speech absolutism. There will always be speech we deem hateful or foolish. But once we open the Pandora's Box of censorship, we embark upon a perilous slippery slope, where more and more ideas become forbidden, and the very marketplace of thought is choked. We must tolerate speech we disagree with, for the alternative is intellectual tyranny.

Secondly, the free market. Believe it or not, the financial market, in all its chaotic glory, is often the most potent check on governmental overreach. Governments, particularly modern ones, are deeply dependent on financial markets for public financing. Without this lifeblood, ruling coalitions falter, and even the most tyrannical aspirations cannot be sustained. A free market, therefore, is not merely a means to accumulate wealth, but a crucial bulwark against unchecked state power.

Thirdly, and intrinsically linked, is an independent judiciary. A functioning free market, built on competition and cooperation, demands an impartial arbiter of disputes, particularly commercial ones. A judiciary free from political interference is the very avatar of fairness and predictability, allowing the complex dance of commerce and innovation to flourish.

Finally, and perhaps most profoundly, lies the cultivation of civil society. This is not a government program or a political party; it is a state of mind. It is when individuals, unbidden and uncoerced, ask themselves: "What can I do? What can we, voluntarily, do to make the world a better place?" It is a psychological state of self-belief, a rejection of the culture of dependency that leads societies to become subservient to the state. We must believe in ourselves, in our neighbors, and in the power of voluntary action to mend, to build, and to uplift.

Young people today face immense anxieties, particularly in a world transformed by economic and technological shifts that displace traditional certainties. But the government is not a savior; it can, indeed, be the very source of the problem. Fear, whether among the young or reflected in the media, can easily drive us into the arms of "strongmen" – figures who are not truly strong, but rather exploit our anxieties to fortify their own regimes.

True civilization is built on individuals who believe in themselves, who resist the psychological urge to surrender their autonomy to external powers. It is a continuous act of self-reliance, of voluntary engagement, and of a steadfast commitment to the values of liberty, skepticism, and the tolerance of difference. Let us embrace these principles, for they are our most powerful defenses against the encroaching shadows of totalitarianism, authoritarianism, and extremism.