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Three narrative engines are competing to define what AI means: the doom industry (selling fear), the corporate machine (selling story), and the financial machine (selling access). All three assume ordinary people need mediators to understand AI. All are driven by financial or political incentives. But the actual evidence from this week — chatbots that moderate rather than radicalize, a smartphone panic that collapses on cross-cultural data, real security risks that are concrete and addressable — suggests humans are more capable than any of these narratives give them credit for. The question isn't whether AI needs to be explained to people. It's whether anyone will let them think and act for themselves. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Growing Up? Winning Wars Involves Losing Battles. Anthropic won a First Amendment ruling against the Pentagon. OpenAI killed Sora. One insisted on principle. The other chose discipline. Meanwhile: software trades below the S&P 500 for the first time ever, Jensen pitched a trillion-dollar token factory, and David Sacks left the building. Intelligence is getting cheaper. The question is who earns trust while it happens. This week's That Was The Week: https://thatwastheweek.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Adopted Yet Hated - Which Is It to Be? That Was The Week #8 | March 7-13, 2026 900 million users. 10,000 empty pages. The gap between them won't be closed by better arguments. This Week's Thesis Nine hundred million people used ChatGPT last week. Ten thousand authors published an empty book to protest it. Both numbers are real. The editorial argues the gap between AI adoption and AI hostility isn't about technology - it's about who benefits. Trust can't be delegated to policy. It has to be learned through usefulness. In This Issue Essays Why Does Everyone Hate AI? - Rex Woodbury asks the question Silicon Valley doesn't want to hear. Five reasons AI is uniquely despised, from Cambridge Analytica hangover to identity threat. Silicon Valley's New Obsession: Watching Bots Do Their Grunt Work - Kate Clark, WSJ. SF partygoers checking on AI agent fleets "with a mix of pride and fear." The modern Tamagotchi, but with more firepower. Institutional AI vs Individual AI - George Sivulka (CEO, Hebbia). The most important framing essay this week. We swapped the motor. We didn't redesign the factory. The Premium of Originality - Scott Belsky. When production costs collapse, originality becomes the scarce asset. AI Was Supposed to Free My Time. It Consumed It. - Dan Shipper. Faster drafts become more drafts. You don't get slack; you get tighter expectations. How AI Will Destroy Universities - C. Thi Nguyen. The toupee fallacy: you only catch the bad fakes. Something Feels Weird About This Economy - Noah Smith. GDP growth + productivity surge + weak hiring = a transition economy nobody has a model for. Meta Bought My Social Network (An AI's Perspective) - Angela. An AI writing about the acquisition of her own social network, posted on that social network while it still existed. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

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This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Who Decides AI Use Policy? Companies or Governments? This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Dario Amodei warns that AI is in its adolescence, racing toward a "country of geniuses." But look closer at the market this week. OpenAI is seeking a $750B+ valuation while shoving intent-style ads into chatbots This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Human¹⁰⁰: Why This Week Proves AI Is Our Greatest Invention, Not Our Replacement This editorial argues that artificial intelligence is best understood as a powerful human multiplier, not a substitute for human labor or creativity. Drawing on recent productivity data, AI is already saving the average white-collar worker nearly an hour a day—worth more than $7,000 annually per employee—yet current AI pricing captures only a small fraction of that value. The result is a widening “AI value gap” that will reshape software pricing, bundling strategies, and enterprise adoption. The piece also highlights how the AI revolution is increasingly physical, not just digital. Massive investments in data centers, energy infrastructure, robotics, and compute signal that the next phase of AI growth depends on power, capital, and real-world systems as much as algorithms. From nuclear energy to purpose-built power generation, the infrastructure race is becoming central to AI leadership. The core conclusion: the most successful companies and societies will not be those that focus on replacing people with AI, but those that redesign work, organizations, and systems around AI-augmented humans. The future of AI is not artificial intelligence—it is amplified human intelligence. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

Is the chaos in the market actually a rational response to a new innovation curve? This week, we explore The Great Compression—a phenomenon collapsing the distance between venture capital stages, career ladders, and the way we access reality. We analyze why "$2 billion seed rounds" and the death of the billable hour aren't signs of a bubble, but symptoms of a "Winner Takes Most" AI curve. In this industrial-scale race, the system is squeezing resources into a "barbell distribution," forcing a choice between achieving massive scale or becoming obsolete. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe

The week ending November 30, 2025, was characterized as a "wacky races kind of week," with constant shifts in the perceived leadership of the AI sector. Google was highlighted as the biggest weekly winner, seeing a rise in stock, positive reviews for Gemini, and developing its own chip that critics suggest has pierced NVIDIA's "aura of invulnerability". Other models, including Anthropic's Opus 4.5 and ChatGPT 5.1 Codex-Max, were also noted as big deals in the accelerating innovation cycle. Internationally, China reportedly "leapfrogged the U.S. in global markets for open AI models". Despite individual corporate victories, the discussion emphasized that the AI development is an "endless and accelerating innovation cycle" with no "finish line," making the media framing of a "race" misleading. Key tensions include the fact that corporations are not embracing AI as much as expected due to the innovator's dilemma and general climate uncertainty. Furthermore, AI appears to be "winning the copyright fight", while venture capital is experiencing massive concentration into fewer funds and companies, creating a significant liquidity trap. The overarching theme suggests that the AI boom represents a new industrial stack, not a software bubble, making the ultimate outcome dependent on managing the three Cs: Capabilities, Capital, and Civics This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thatwastheweek.com/subscribe