The times they are a-changin': Washington suddenly warms to regulating AI - Fortune

TEXT START: Hello and welcome to Eye on AI. In this edition…momentum builds for U.S. AI regulation…Musk loses his lawsuit against OpenAI…Andrej Karpathy goes to Anthropic…Google debuts a "Co-Scientist"…and are humans the limiting factor when it comes to deploying AI?

1. THE DISSECTION

This is a transition management newsletter dressed as journalism. Fortune's "Eye on AI" column catalogs the political and perceptual shift in Washington toward AI regulation, framing it as a story about political pragmatism, public opinion polling, and the "Mythos moment" that allegedly woke regulators from their accelerationist stupor. The article reads like an after-action report on how the ruling class is managing the inevitable without ever naming it inevitable.

The author — Jeremy Kahn — presents a narrative arc: AI was going to be unregulated, now it's going to be regulated, and here's how the pieces moved. He treats this as the main event. It is not. The main event is the structural death spiral of mass employment that AI regulation — even if enacted perfectly — cannot reverse. Kahn's story is furniture rearrangement on the Titanic.

2. THE CORE FALLACY

The text operates on the implicit premise that regulatory governance can meaningfully alter the trajectory described by the Discontinuity Thesis.

It does not. This is the central delusion running through the entire article. The framing — "momentum builds," "the mood has shifted dramatically," "Washington's hostility to AI regulation has crumbled" — treats regulation as if it were a meaningful intervention in the structural mechanics of displacement. It is not. At best, it is hospice care for the political class's liability exposure. At worst — and this is more likely — it is a set of theater rules that will:

• Delay the reckoning (lag defense, as DT predicts)
• Redirect liability away from AI developers and onto a regulatory apparatus that will be outrun by model capability growth within months
• Create a licensing regime that functions as a regulatory moat for incumbents (Anthropic, OpenAI, Google) while doing nothing for the displaced workers it ostensibly protects

The "El Alamein moment" metaphor is instructive in the wrong way. El Alamein was a military turning point. This is not a military turning point. This is a public relations turning point. The regulation being proposed — federal licensing, safety audits, KOSA compliance — addresses none of the following: mass cognitive labor displacement, the severance of wage-from-consumption circuits, or the structural impossibility of productive participation for the majority.

3. HIDDEN ASSUMPTIONS

• Assumption 1: Public opinion polling is a reliable policy lever. The article cites 70% opposition to data centers, 66% wanting more regulation, and frames this as why politicians are "moving." This assumes polling translates into organized political power. It does not. The same dynamic applies to every economic disruption in modern history — voters expressed concern about NAFTA, outsourcing, automation in manufacturing, and none of it produced structural reversal of the underlying economic logic. The regulation that eventually passes will be designed by the industry it ostensibly regulates.

• Assumption 2: Export controls on chips are a meaningful strategic lever. The article's own source (Jacob Feldgoise at Georgetown) undermines this: "little evidence that the export controls have actually prevented China from acquiring strategically useful AI capabilities." The article acknowledges this, then pivots to "maybe we can relax them in exchange for Chinese cooperation on governance." This is diplomatic fan fiction. The export control regime is already failing; the question is not whether to relax it but how to spin the collapse.

• Assumption 3: Licensing regimes can constrain frontier model deployment. The article notes that Mythos is already under "ad hoc licensing" — Bessent deciding which banks get access. This is not a proof of concept for effective regulation. This is proof that sovereign states will carve out access for financial institutions they need to function while the broader economy is displaced. The "licensing regime" being discussed is a two-tier system by design — frontier access for state-aligned institutions, the rest gets the deregulation.

• Assumption 4: OpenAI "endorsing" KOSA and Illinois SB 315 signals genuine safety commitment. This is transparent political hedging. OpenAI opposed California's substantially similar bill, then endorsed Illinois's version. This is not moral awakening. This is regulatory arbitrage — picking the legislative battlefield where they can shape the terms. The author describes this as "which way the wind is blowing" and frames it as sincerity. It is not. It is the standard corporate playbook: co-opt the regulatory process by appearing cooperative.

• Assumption 5: The "China card" losing salience is a policy shift, not a diagnostic. The article claims Americans now fear AI job losses more than Chinese AI dominance. This is offered as explanation for the regulatory pivot. What it actually reveals is that the Discontinuity Thesis is already operating in public consciousness as lived experience, not theoretical abstraction. The population is registering the employment threat before the policy class is willing to name it. The regulatory pivot is a lagging indicator of economic trauma, not a proactive governance response.

4. SOCIAL FUNCTION

Classification: Transition Management / Elite Self-Exculpation

The article performs the specific social function of legitimizing the incoming regulatory apparatus as a response to the right problem. It takes the visible, politically salient symptoms — public backlash, Eric Schmidt getting booed, polls showing fear — and presents them as the drivers of policy change. This is comforting to readers because it suggests the system is responsive, that democracy is working, that the horror will be mitigated.

What it obscures is the structural reality: regulation cannot preserve the wage-labor-consumption circuit because no regulatory framework can restore the economic role that is being eliminated. The best-case scenario under aggressive, well-enforced AI regulation is that displacement happens 18-36 months slower, and the regulatory infrastructure that emerges looks like Sarbanes-Oxley after Enron — a compliance burden that larger firms can afford and smaller ones cannot, accelerating consolidation into the hands of the few Sovereigns.

The article's optimistic framing — "the fall of Berlin is in sight," "regulation is going to happen," "the mood has shifted dramatically" — serves as ideological anesthetic. It tells the reader: the system noticed, the system is responding, the system will manage this. It will not. The system will manage the narrative, the political liability, and the regulatory capture opportunity. The displacement continues.

5. THE VERDICT

The text is a polished, well-sourced, ultimately irrelevant account of political theater in the context of civilizational economic restructuring.

The Discontinuity Thesis predicts exactly this phase: as displacement becomes publicly visible and politically salient, the institutional apparatus shifts from accelerationist denial to managed transition framing. This article documents that shift with journalistic competence and analytical bankruptcy. It accurately describes the surface dynamics — polling shifts, personnel changes in Trump's AI advisory circle, Anthropic's Mythos as a regulatory catalyst — while remaining blind to the structural mechanics underneath.

The regulation being built will function as:
1. Liability containment for AI developers (legal shields via compliance frameworks)
2. Incumbent moat reinforcement (licensing costs that smaller entrants cannot bear)
3. Political inoculation (give politicians something to point to so the backlash loses its electoral potency)
4. Lag extension (slowing deployment slightly without altering the terminal trajectory)

None of these outcomes are named in the article because naming them would require the author to acknowledge that the system being described is not responding to the problem — it is managing the optics of the problem while the underlying displacement proceeds on schedule.

The piece closes with AI21 Labs cutting 60% of its workforce and pivoting to "AI agent optimization." Note the irony: an AI company laying off humans to focus on AI that replaces humans. That detail is buried in the news feed. It is the real headline. The rest is Fortune magazine doing what Fortune magazine does — making the machinery of elite accumulation look like a story about responsible governance.