RT Updates

What happens to your social media account after you die?

Meta may already have an answer — and it’s raising some serious ethical questions.

In this episode, we explore Meta’s patent for a system that could simulate a deceased person’s social media activity using AI, allowing friends and family to keep chatting with their Facebook or Instagram accounts after death.

While Meta claims it has no plans to deploy the technology, the patent reveals a future where AI could reanimate digital identities, turning social media profiles into ongoing sources of engagement — even after someone has passed away.

• Meta’s patent for AI systems that simulate dead users’ social media activity
• The concept of “spectral labor” — when the dead continue generating data and engagement
• Why tech companies are searching for new sources of data and synthetic content
• How digital resurrection could reshape grief, memory, and online relationships
• Whether users should have a “Digital Do Not Resuscitate” (Digital DNR) for their data

Social media has already changed how we remember people.

But if AI can continue posting, messaging, and interacting after someone dies, it raises a new question:

Who owns your digital identity once you're gone?

Because if companies can turn your past data into a living AI persona, the future of social media might include millions of accounts that never stop posting — even after death.

And that changes the internet forever.

What this episode covers is Why this matters

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📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

RT Updates

Behind every powerful AI model is an invisible workforce — and the reality might be more controversial than you think.

In this episode, we dive into the growing controversy around AI data labeling labor, after reports revealed that gig workers in countries like Kenya may have unknowingly helped train AI systems used by the U.S. military.

An Australian tech company, Appen, reportedly recruited global gig workers to label data for AI systems connected to a secretive U.S. military unit called Big Safari — without disclosing the end use of their work.

The story raises uncomfortable questions about AI supply chains, invisible labor, and the ethics behind the technologies we use every day.

• How Appen’s global gig workforce may have unknowingly helped train U.S. military AI systems
• Why AI data labeling has become the “sweatshop labor” of the digital economy
• The ethical dilemma: workers building surveillance systems that could impact their own countries
• Why AI development depends on millions of underpaid and invisible data workers
• Whether transparency, consent, and disclosure should be mandatory in AI training pipelines

The global AI boom is often framed as a race between tech giants and governments — but the reality is that millions of low-paid gig workers quietly power the entire system.

As AI expands into military, surveillance, and intelligence applications, the question becomes harder to ignore:

Should workers have the right to know what they are helping build?

Because the future of AI might not just be shaped in Silicon Valley —
it may be labeled, tagged, and trained by workers who never agreed to its purpose.

What this episode covers is Why this matters

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📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

RT Updates

AI companies are accusing each other of stealing intelligence.

Anthropic says rival labs created 16 million interactions with Claude using 24,000 fake accounts to extract its capabilities and train competing models.

But here’s the uncomfortable truth:
The same AI companies now crying “IP theft” also trained their own models by scraping the internet.

So where exactly is the line between innovation, competition, and theft?

This week on Rethinking Tech, we unpack the controversy around AI distillation attacks, why Anthropic is framing this as a national security issue, and what it reveals about the messy reality of the AI race.

Because in the world of AI…
everyone is training on everyone else.

• What AI distillation attacks actually are

• Why Anthropic says Claude was targeted by DeepSeek, Moonshot, and MiniMax

• How competitors allegedly generated 16M Claude interactions through fake accounts

• The difference between legal model distillation vs. IP theft

• Why distilled models may lose safety safeguards

• The risks of disinformation, cyber operations, and surveillance AI

• Why Anthropic is framing this as a national security issue

• The irony of AI companies complaining about data scraping

The AI race is no longer just about building better models.

It’s about who controls the intelligence behind them.

Distillation attacks show how easily powerful AI capabilities can be copied, accelerated, and deployed — potentially without the safeguards originally designed to contain them.

As AI becomes central to military systems, cyber operations, and geopolitical competition, the battle over models is starting to look less like Silicon Valley rivalry and more like a new form of technological warfare.

And the reality is simple:
In the AI era, everything is porous.

What this episode covers is Why this matters

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📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

RT Deep Dives

The world showed up in New Delhi.

Tech CEOs. Heads of state. Billion-dollar promises.
And a declaration signed by 88 countries pledging ethical, inclusive AI.

But behind the applause and diplomacy… the real question lingered:

Who actually controls the future of AI?

This week on Rethinking Tech, we unpack the India AI Impact Summit — the politics, the power plays, the sovereignty debate, and the uncomfortable truth about who really owns compute, capital, and infrastructure.

Because AI isn’t just about models anymore.
It’s about leverage.

• Why the summit shifted from “Safety” to “Impact” — and what that signals

• The U.S. stance on innovation vs. governance

• India’s AI sovereignty ambitions — realistic or rhetorical?

• OpenAI, Anthropic, Microsoft & Tata: what the deals actually mean

• The 90% compute concentration problem (U.S. + China dominance)

• The robot dog controversy and what it reveals about AI nationalism

• Sam Altman’s energy comments and the Silicon Valley mindset

• Whether the Global South truly gained power — or just proximity

AI is rapidly becoming the infrastructure of global power.

While nations talk about inclusivity and human-centric AI, the capital, chips, and compute remain concentrated in very few hands. The India AI Impact Summit revealed both ambition and imbalance — a world striving for multipolar AI while still orbiting two superpowers.

If you care about geopolitics, technology, sovereignty, and the future balance of power — this conversation isn’t optional.

Because in the AI era, neutrality doesn’t exist.

🔎 What this episode covers:🌍 Why this matters:

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

Hollywood fears AI. Celebrities hate it.

So OpenAI just hired Instagram’s “celebrity whisperer” — the man who helped launch Beyoncé’s album on Instagram and even brought Pope Francis onto the platform.

This isn’t just a talent move. It’s a signal.

OpenAI is expanding beyond engineers and model builders. Between agent-focused hires, open-source deals, and hardware rumors, something bigger is forming. The question is: what?

Is this about calming celebrity fears… or monetizing their likeness?

What this episode covers:
• Why Charles Porch’s move from Instagram to OpenAI matters
• The growing AI talent war across OpenAI, Meta, Google & Anthropic
• Licensing celebrity voice & likeness in the AI era
• The Matthew McConaughey royalty model
• Why AI agents may already be “table stakes”
• The possibility of OpenAI’s hardware play (smart speakers, devices, more)

Why this matters:
Software alone may not win the AI race anymore.

If agents and chatbots are becoming commoditized, the next frontier could be hardware, entertainment, and licensed identity.

OpenAI isn’t just building smarter models — it may be building a new creator economy.

And Hollywood might not hate AI for long… if the paycheck is right.

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

Microsoft just confirmed that Copilot accessed emails — including drafts — and used them in ways users didn’t expect.

They’re calling it a bug.
But was it really?

In this episode, we break down what happened, what it means for AI training inside corporate environments, and why this isn’t just about one “glitch.” It’s about incentives, architecture, and the quiet normalization of AI reading everything you write.

If AI can access your drafts, your tone, your production history — where does privacy actually live?

What this episode covers:
• What Microsoft confirmed about Copilot and email access
• Draft folders, sent folders, and AI model training
• The difference between encryption and metadata
• “Ask forgiveness, not permission” in big tech culture
• How workplace data can train models that replace workers
• Whether this is a flaw… or a feature of the system

Why this matters:
Every email, document, and spreadsheet you create is digital exhaust.

Once captured, it becomes training data. Once trained, it becomes leverage.

This isn’t just about privacy — it’s about power, incentives, and the direction AI is quietly moving in.

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

NVIDIA and Meta just announced a multi-year, multi-generational strategic partnership — and this isn’t your typical chip procurement deal.

This is a full-stack, co-designed AI infrastructure alliance spanning on-prem, cloud, CPUs, Blackwell GPUs, and Rubin architecture — reportedly worth around $50 billion.

Meta says it wants to deliver “personal superintelligence” to everyone. NVIDIA just made sure it’s the backbone of that future.

But here’s the real question:
Is this about AI innovation… or data, dominance, and monopoly power?

What this episode covers:
• Why this NVIDIA–Meta partnership is structurally different from past deals
• What “agentic AI” actually means for billions of users
• The role of Blackwell chips and Rubin GPUs in Meta’s AI roadmap
• Confidential computing and what it really means for WhatsApp & private messaging
• Why NVIDIA’s position looks monopoly-adjacent — and why regulators may struggle
• How national security reshapes antitrust in the AI era

Why this matters:
Meta needs an AI win. NVIDIA wants to cement itself as the indispensable backbone of the AI economy.

But when AI moves directly into private messaging, when encryption meets metadata, and when one chipmaker powers every horse in the race — the stakes aren’t just technological. They’re structural.

This isn’t just a partnership.
It’s a signal about who controls the next layer of digital infrastructure.

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

What happens when Apple and SpaceX decide to beam internet straight to your phone — from space?

In this episode of Rethinking Tech, we unpack the unlikely alignment between Tim Cook and Elon Musk, and why low Earth orbit satellite connectivity could fundamentally disrupt global telecommunications.

Apple’s new C2 chip is enabling 5G connectivity via low Earth orbit satellites — the same architecture powering Starlink. And if satellite-to-device becomes mainstream, local telcos may no longer sit between you and the internet.

• Apple’s C2 chip and satellite-enabled 5G

• Starlink’s low Earth orbit advantage

• Why this could bypass traditional telecom providers

• Whether Apple becomes a telco

• Why SpaceX may want connectivity as its cash cow

• The eSIM, Apple Pay, and ecosystem consolidation

• The 10-year implications for data infrastructure

This isn’t just about faster signal.

If connectivity moves from undersea cables and national telcos to satellite constellations in orbit, it reshapes:

• Telecom monopolies

• National regulatory control

• Infrastructure sovereignty

• Data routing and ownership

Ten years from now, we may look back at this partnership as the moment connectivity stopped being local — and became orbital.

What this episode covers is Why this matters:

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

AI just challenged the U.S. military.
And it’s not science fiction — it’s happening inside classified systems right now.

Anthropic’s Claude is currently the only AI model deployed on U.S. military classified networks. Now, a standoff is unfolding between the Pentagon and Anthropic over one fundamental question:

Who sets the ethical limits — the government or the AI company?

In this episode of Rethinking Tech, we break down the escalating dispute, the “supply chain risk” designation threat, and why this moment could redefine sovereignty, surveillance, and corporate power in the AI era.

• Why Anthropic is the only AI model on U.S. classified systems

• The Pentagon’s demand for lawful military use across AI providers

• Anthropic’s refusal to allow use for autonomous weapons or mass surveillance

• The “supply chain risk” escalation — and why that’s significant

• The rumored Venezuela raid connection

• Whether this is Anthropic’s “Apple privacy moment”

• The deeper question: Can AI companies resist state power?

This isn’t just about one contract.

It’s about whether AI companies can impose ethical guardrails on governments — or whether national security overrides corporate sovereignty.

In a world where AI models are becoming core infrastructure, this battle could determine:

• Who controls surveillance power

• Who defines lawful AI use

• Whether ethics survive when national defense is invoked

The future of AI governance may not be decided in labs — but in classified rooms.

What this episode covers is Why this matters:

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠

Can Catholic Values Truly Guide Capital Markets?

The Vatican is stepping into finance — and not quietly.

In a surprising merger of faith and capital markets, the Vatican Bank has launched Catholic-aligned stock indices designed to help investors back companies that reflect Catholic social teachings. Human dignity. Environmental stewardship. Ethical labor. But how do you measure morality in a profit-driven market?

In this episode of Rethinking Tech, Aparna and Harinda unpack what it really means to structure investing around religion — and whether values-based finance can survive Wall Street incentives.

What this episode covers

• The Vatican’s new Catholic-aligned stock indices

• How companies are screened for “Catholic values”

• Why firms like major tech companies are still included

• The limits and subjectivity of ethical investing

• The rise of U.S.-based Catholic ETFs managing billions

• Whether religion and shareholder capitalism can truly align

• The geopolitical tensions between the Vatican and the U.S.

  
  

Why this matters

Ethical investing isn’t new — but when one of the world’s oldest institutions formalizes morality into financial products, it reshapes the conversation.

Can faith meaningfully influence markets?
Or does the market ultimately influence faith?

This episode explores where religion, power, and profit collide — and who ultimately sets the moral price.

🔗 Connect with Us

📺 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RethinkingTech⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🎧 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/6NYgOPmYW6Ba2LFn3IBST3⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠🍏 Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/rethinking-tech/id1795651530⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠📸 TikTok: @rethinking_tech💼 LinkedIn: Rethinking Tech Podcast👤 Aparna: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/aparnabhushan/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👤 Harinda: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/harindak/⁠