Who killed Trump’s AI order? Musk says it wasn’t him
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Silicon Valley venture capitalist David Sacks reportedly warned that the measure would hurt the US in its AI race with China.
PHOTO: REUTERS
WASHINGTON - Speculation swirled on May 22 over the last-minute collapse of US President Donald Trump’s planned executive order on powerful AI models, with fingers pointing at the president’s allies in Silicon Valley who oppose government oversight of the technology.
A draft of the shelved order leaked to US media shows the White House had prepared new AI cybersecurity measures before he pulled the plug on May 21. His former AI czar had reportedly called Mr Trump directly to raise objections.
The collapse is the latest sign that Washington remains unable to agree on even modest guardrails for the technology – leaving the United States well behind Europe and Asia and far short of what many safety advocates say is needed.
If enacted, the dropped executive order would have given the federal government up to 90 days of access to the most powerful AI models before their public release, while establishing a coordinated response to AI-enabled threats to banks, hospitals and other critical infrastructure.
Politico and other media reported that Mr David Sacks, the Silicon Valley venture capitalist who served as Mr Trump’s AI and crypto czar, called the president on the morning of May 21 – blindsiding White House staff – to warn that the measure would slow innovation and hurt the US in its AI race with China.
Officials believed Mr Sacks supported the order, but the night before the planned signing, he began raising concerns that the voluntary review process could one day be made mandatory.
The Washington Post reported a broader account: Last-minute calls from Mr Sacks, SpaceX and Tesla CEO Elon Musk, and Meta CEO Mark Zuckerberg convinced the president not to sign.
Mr Musk denied the claim on his social media platform X.
“This is false. I still don’t know what was in that executive order and the president only spoke to me after declining to sign,” he wrote.
Meta also disputed the report, saying Mr Zuckerberg had spoken to Mr Trump only after the order was rescinded.
Fear of Mythos
To assuage concerns of government over-reach, the draft explicitly stated that nothing in the order should be read as creating a mandatory licensing or approval requirement for AI models.
According to The Information and other media, tech companies also pushed to cut the pre-release access window from 90 days to just 14.
The order was triggered by concerns over Anthropic’s Mythos model, which the AI start-up has refused to release publicly over its ability to expose vulnerabilities in computer systems – including those of banks, governments and hospitals.
Mr Sacks has said that concerns about Mythos and models of its power were legitimate and that defences needed to be put in place, but cautioned that Washington policymakers were trying to take advantage of the situation.
Speaking on his “All-In” podcast this month, he said pre-release government approvals were “solving a problem that didn’t really exist,” since Anthropic and other AI companies were already keeping Mythos-like models away from the public.
For Mr Sacks, “AI ideologues or doomers” were trying to use Mythos to “create a permanent new infrastructure in Washington”.
The collapse of the May 21 effort leaves the administration with no formal plan for managing the security risks posed by the most powerful AI systems – and no timeline for producing one.
Mr Trump scrapped an AI oversight order signed by his predecessor Joe Biden on his first day back in the White House.
Mr Biden’s 2023 order required AI companies to share safety test results with the government and leaned heavily on voluntary commitments – already a light-touch approach that fell well short of what many experts had called for.
By contrast, the European Union’s AI Act – which entered into force in 2024 – sets binding rules for high-risk AI systems, including mandatory transparency requirements and, for the most powerful models, obligations around safety testing and incident reporting. AFP


