Future Thinking Lab

Imagine operating a company where AI agents act as your manager, researcher, analyst, writer and reviewer. Could one person accomplish what once required an entire team? This episode examines the promise—and the illusion—of the one-person AI company. AI can reduce the cost of labour, accelerate execution and give an individual extraordinary leverage. But more agents do not automatically produce better decisions, customers or accountability. The real advantage belongs to the person who can define the right problems, design effective workflows, evaluate results and take responsibility when the system gets things wrong.

At twenty-five, being single starts to feel different. What once seemed temporary can begin to feel like a pattern—but waiting for the right person rarely changes anything. Inspired by ideas from Logan Ury’s How to Not Die Alone, this episode explores the habits that keep us single, why attraction alone is an unreliable guide, and how to create more opportunities for genuine connection. The goal isn’t to become someone else just to find love. It’s to stop living passively, understand your dating patterns and build a life in which a healthy relationship can actually begin.

Intelligence doesn’t guarantee that you’re right. Sometimes it simply makes you better at explaining why you’re right—even when you’re completely wrong. In this episode, Bryan examines confirmation bias, motivated reasoning, overconfidence and the stories we create to protect our investments, careers and identities. You’ll also learn practical tools for challenging your own beliefs, including decision journals, probabilistic thinking and searching for evidence that could prove you wrong. Intelligence helps us construct arguments. Wisdom tells us when to stop defending yesterday’s version of ourselves.

We have access to more information than any generation before us, yet making good decisions hasn’t become easier. News, opinions, predictions and AI-generated content compete constantly for our attention. This episode explores how to separate meaningful signals from persuasive noise. Instead of following every headline, we learn to examine incentives, base rates, measurable indicators and evidence that could genuinely change our minds. In an age where producing information is almost free, the scarce advantage is no longer knowing more. It is knowing what deserves your attention—and what you can safely ignore.

AI may look like software, but underneath it is an enormous physical machine. Every intelligent answer requires chips, memory, electricity, cooling, networking and factories. In this episode, Bryan explores the hidden infrastructure behind the AI boom—from high-bandwidth memory and advanced packaging to optical interconnects, power grids and liquid cooling. Smarter models can appear within months, but fabs and power plants take years to build. The future of AI may therefore be determined not only by intelligence, but by one crucial question: what becomes the next physical bottleneck?

When we were younger, friendship happened almost automatically. We attended the same schools, shared the same routines and saw the same people every day. Adulthood removes that structure—and suddenly every friendship requires planning. In this episode, Bryan explores why adult loneliness is often a problem of environment rather than personality, how screens have replaced the empty moments where relationships once developed, and why your future best friend may already be someone you slightly know. Real friendship doesn’t appear instantly. It compounds through repeated time, small invitations and mutual effort.

AI doesn’t need to replace your entire profession to disrupt your career. If one AI-assisted employee can produce twice as much, companies may simply need fewer people. In this episode, Bryan explains why jobs are bundles of tasks, which kinds of work are becoming cheaper, and why judgment, domain expertise, trust and accountability may become more valuable. The real question isn’t whether AI can do your job. It’s what people will still pay you for when half of your current work becomes almost free.

You finally earn the salary you once dreamed about—so why don’t you feel rich? Rent, housing and lifestyle costs keep rising, while social media constantly shows people who appear to have more. In this episode, Bryan explores the difference between income and real wealth, why visible consumption distorts our financial expectations, and how lifestyle inflation quietly moves the finish line. Perhaps wealth isn’t about earning the highest salary. Perhaps it’s about building skills, assets, resilience and control over your time.

If everyone can write, code, and create with AI, what will people still pay for?

When intelligence becomes cheaper to access, value may shift toward things that remain difficult: understanding real problems, checking answers, earning trust, and reaching the right people.

In this episode of Future Thinking Lab, Bryan explores how cheaper AI could reshape work, business, and opportunity. Through examples involving restaurants, startups, engineering, and podcasts, discover why a cheap answer isn’t always a cheap outcome—and why greater productivity doesn’t guarantee everyone benefits.

We finish with a practical experiment to identify where value sits in your own work: if your first draft cost one cent and took ten seconds, what would still stand between you and a useful result?

You give good advice. Ask thoughtful questions. Try to help. So why do people still shut down?

Maybe you’re answering a question they never asked.

In this episode of Future Thinking Lab, Bryan explores Dexter Dias’s The Ten Types of Human to uncover the competing drives behind connection, conflict, attraction, and belonging.

Beyond the Alpha/Beta labels, discover why kindness can feel controlling, loyalty can excuse cruelty, and confidence can hide fear. We explore all ten types—and how these ideas can change conversations with friends, colleagues, family, and potential partners.

Plus, try a simple listening experiment: one more question before offering advice.

Before asking, “What type of person are they?” ask: “What am I missing?”