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AI: Jobs, Power & Money
27JUL

Washington pulls a live AI model

4 min read
10:02UTC

At 5:21pm Eastern on Friday 12 June, Commerce Secretary Howard Lutnick ordered Anthropic to bar foreign nationals from Claude Fable 5 and Mythos 5. The only way to comply was to switch both off for everyone on earth.

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Key takeaway

Washington used an export law built for chips to switch off a consumer AI model hundreds of millions were using.

At 5:21pm Eastern on Friday 12 June, Commerce Secretary Howard Lutnick sent Anthropic chief executive Dario Amodei a directive barring every foreign national, inside or outside the United States, from accessing Claude Fable 5 and Claude Mythos 5 1. The order reached Anthropic's own foreign-national staff. To comply, the company disabled both models for every customer worldwide, three days after Fable 5 went on sale.

Anthropic is the San Francisco AI lab behind the Claude family of models; Commerce is the US federal department that polices what technology may leave American hands. Lutnick reached them through the deemed-export doctrine: under US law, granting a foreign national access to controlled technology on American soil counts as an export to that person's home country 2. A live consumer model cannot check the nationality of every user mid-conversation, so the only way Anthropic could keep foreign nationals out was to keep everyone out. The controlled item, in effect, became the act of using the model rather than possessing it, and no commercial AI product is built to gate inference by passport in real time.

The capability did not change on Friday. This desk has tracked the Mythos arc since April, when the Treasury and the Federal Reserve summoned five Wall Street bank chiefs over the withheld Mythos Preview, the model Anthropic distributed to twelve partners under Project Glasswing, that the UK AI Security Institute clocked at a 32-step autonomous attack chain, and that Anthropic then reframed in a 244-page Alignment Risk Update abandoning its own capability thresholds. By 1 May, OpenAI's rival GPT-5.5 had cleared the identical 32-step chain , and it remains on sale. The trigger, per Axios, was an unnamed rival claiming to have jailbroken Mythos 5 by asking it to read a codebase and fix the flaws it found; the administration first sought a launch pause, Anthropic refused, and the letter followed 3.

The campaign-money symmetry sharpens the irony. Anthropic backed the pro-regulation Public First campaign while the OpenAI camp funded the anti-regulation Leading the Future PAC . The lab that asked to be regulated is the one Washington reached first, while the untouched competitor is the one whose founders paid to weaken the rules. Restoration terms, whenever they come, will set the first precedent for how a deployed consumer model re-enters a market after a national-security recall.

Deep Analysis

In plain English

The US government has a rule called the deemed-export doctrine. Under it, if an American company lets a foreign citizen use controlled technology inside the United States, the law treats that as if the technology had been physically shipped to that person's home country. The same rule applies to military hardware, advanced chips, and now, apparently, AI models. The problem is that Claude cannot tell who is foreign and who is not when someone types a question. It has no passport scanner. So when Commerce Secretary Howard Lutnick sent Anthropic a letter saying no foreign nationals could use Fable 5 or Mythos 5, the only way Anthropic could comply was to switch both models off for everyone, everywhere, including paying customers in every country. The government did not seize a server or a file. It made access illegal, and the model's inability to enforce that distinction did the rest.

Deep Analysis
Root Causes

The deemed-export doctrine was written for an era when controlled technology lived in a discrete artifact: a chip, a weapon schematic, a software binary on physical media. The 2025 AI Diffusion Rule extended it to closed model weights, which at least travel as discrete files.

Runtime inference on a cloud API produces no artifact that crosses a border; the foreign-national user receives a token stream, not a weight file, meaning the 'export' the law notionally controls exists only as a probabilistic output. No commercial inference architecture gates by nationality in real time because no commercial architecture was designed to be a border control.

A second structural vulnerability sits in the competitive reporting channel. An unnamed rival claimed the Mythos jailbreak and routed the report to the administration.

Private competitor reporting to regulators creates a repeatable incentive: flagging a rival's vulnerability is costless to the reporter, imposes a compliance burden on the target, and carries an asymmetric political return if the target lobbied for regulation. The BIS directive reached Anthropic, not OpenAI, despite GPT-5.5 carrying the same vulnerability at the same date.

Escalation

Escalatory. The directive represents the first instance of a US government withdrawing runtime access to a deployed consumer AI product, not a pre-release model or a hardware export. Restoration terms, if and when set, will define whether the control persists, widens, or is abandoned as unenforceable, each of which has a different escalatory profile for the broader AI sector.

What could happen next?
  • Precedent

    Lutnick's directive establishes that the deemed-export framework can reach runtime inference access, not only model weights or hardware, giving the BIS legal surface to act on any deployed frontier model used by foreign nationals.

    Immediate · Assessed
  • Risk

    Competitors may use the private-reporting channel to the BIS as a competitive lever, filing jailbreak claims against rivals to trigger suspension events, given that Anthropic's suspension occurred while GPT-5.5 carried the same vulnerability.

    Short term · Suggested
  • Consequence

    Enterprise procurement of US-based frontier AI models now carries a regulatory-withdrawal risk that did not exist before 12 June, which will raise the cost and complexity of multi-year AI infrastructure commitments.

    Medium term · Assessed
  • Opportunity

    Non-US frontier labs, particularly those in the EU, UK, and Canada, can now market regulatory-jurisdiction diversity as a feature to international enterprise customers who cannot afford a repeat suspension.

    Medium term · Suggested
Sources:Anthropic·Axios·Freshfields
Mentions:Anthropic →Commerce Department →OpenAI →Claude Mythos Preview →Claude Fable 5 →Dario Amodei →Bureau of Industry and Security →Howard Lutnick →GPT-5.5 →Public First Action →Leading the Future →Netherlands →San Francisco →Federal Reserve →Cato Institute →ASML →Beijing →Claude →United States →Axios →Stripe →Project Glasswing →UK AI Security Institute →
First Reported In

Update #13 · Washington pulls a live AI model

Anthropic· 13 Jun 2026
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Causes and effects
Caused by
AI super PACs spend $150m on primaries
The Leading the Future vs Public First PAC split frames the political irony of the export directive: the lab that backed regulation is the first one hit.
Occurred 2 Jun 2026
Read story →
AISI: GPT-5.5 matches Mythos on 32-step attack
AISI confirmed GPT-5.5 cleared the same 32-step attack chain on 1 May, the capability comparison Anthropic cited in disputing the selective application of the directive.
Occurred 1 May 2026
Read story →
This Event
Washington pulls a live AI model
For the first time, a US government has reached past studying an AI model and used export law to turn off a consumer product hundreds of millions were already using.
Led to
Anthropic AI ban enters its second week
The Lutnick directive of 12 June caused the ongoing suspension that entered its second week, triggering House demands, G7 discussions, and Washington negotiations.
Occurred 18 Jun 2026
Read story →
Different Perspectives
European Commission
European Commission
The European Commission's draft Annex III guidelines, closed for comment on 23 July, treat algorithmic scoring in recruitment, pay and termination as high-risk regardless of whether a human signs off, echoing Spain's Audiencia Nacional ruling 101/2026 on concealed scheduling algorithms. Brussels is shifting the fight from counting AI job losses to assigning legal liability for the tools themselves.
Office for National Statistics
Office for National Statistics
The Office for National Statistics recorded UK vacancies rising to 712,000 on 21 July, the first quarterly increase this beat has tracked, with payrolled employment down 85,000 on the year against May's 210,000 fall. The bulletin names no AI cause anywhere, and that is the point: nothing in the release confirms the displacement story it gets cited to support.
Christian Klein, SAP
Christian Klein, SAP
Christian Klein told investors on 23 July that SAP's research headcount will not grow for twelve months because AI agents and their token costs are absorbing the work, not because SAP is cutting jobs. He frames it as commercial arithmetic: the cost of AI-assisted coding tokens plus the salaries specialist AI hires command, not people being replaced by machines.
Betsey Stevenson, University of Michigan
Betsey Stevenson, University of Michigan
Betsey Stevenson argued that the 187,000 jobless-claims reading describes a market that hires little and fires little, not one AI is emptying. She said the real damage hides in eligibility rules and suppressed job postings, not in the headline layoff counts employers keep denying.
Comisiones Obreras, UGT and Concentrix's A Coruña works committee
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Comisiones Obreras, UGT and Concentrix's A Coruña works committee blamed Microsoft's push toward AI self-service for the 80 redundancies unions signed off on 22 July, not unavoidable business cause. A second Coruña procedure covering 80 more jobs runs to a 31 August deadline, and the unions want the state, not the employer, setting the pace of AI-driven cuts.
Stanford's 'We Must Act Now' signatories
Stanford's 'We Must Act Now' signatories
More than 200 academics, including 16 Nobel laureates, published a 13 July letter warning of AI-driven labour disruption, citing Daron Acemoglu's NBER estimate that AI's total factor productivity gain stays under 0.66% over ten years. The letter's own cited economics sit well below Goldman Sachs Research's 1.5-percentage-point estimate published the same week.