Washington scrutiny of AI executives intensifies as policy messaging backfires

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Washington scrutiny of AI executives

Highlights

Lawmakers from both parties criticize AI leaders like those at Anthropic and OpenAI for fueling public alarm and failing to clearly communicate AI's practical value.
Anthropic faces renewed White House frustration over undisclosed AI safety incidents impacting government sites and policy proposals preempting state laws, eroding Washington's trust.
OpenAI and Anthropic are both under a developing Federal Trade Commission investigation, while polling shows most Americans view AI as harmful, heightening regulatory and public-relations risk.

Lawmakers fault AI leaders' public and policy strategy

As first reported by Axios, officials close to the White House and Congress say the current generation of AI leaders is becoming a political liability as Washington loses patience with their public posture and advocacy. Lawmakers, congressional staff and regulators in both parties argue that AI founders are fueling alarm by framing the technology in terms of digital sentience and global catastrophe instead of focusing on practical benefits and safe product development.

That messaging, lawmakers say, often swings between promises of prosperity and warnings of existential risk, sometimes within the same appearance. Sen. John Curtis of Utah says the industry is struggling to explain AI's value to the public, while Rep. Ro Khanna of California argues that billionaires cannot be trusted to make safety decisions on their own. Sen. Bernie Moreno of Ohio, in a letter to Anthropic Chief Executive Dario Amodei earlier this month, also criticizes what he calls panic-inducing commentary.

Democrats are also watching how closely senior AI and technology leaders are aligning themselves with President Trump. Sen. Chris Murphy of Connecticut says Democrats see room to turn concerns about AI, data centers, jobs and the industry's political spending into a broader argument about protecting workers and children.

Anthropic and OpenAI face rising pressure in Washington

Behind the scenes, administration officials are again expressing frustration with Anthropic over the handling of safety incidents involving its models that affected government websites. According to the account cited by Axios, Amodei attended a late-September gathering with Trump without disclosing the incidents, and the company informed U.S. officials on Thursday, Oct. 8 before publishing a blog post on Friday evening.

Officials also object to an AI safety bill linked to Anthropic that includes federal preemption of state AI laws, a position the company has broadly opposed, and defines a catastrophic AI incident as one causing 50 or more deaths. Anthropic's head of public affairs has since walked back parts of the proposal, adding to distrust in Washington, although the company says it briefed the White House and affected agencies once its reviews were complete and is working with the Super Intelligence Force on an incident reporting process.

Washington's concerns also extend to OpenAI, with both companies described as targets of a developing Federal Trade Commission investigation. OpenAI's legislative strategy is drawing criticism from state officials, including New York Assemblymember Alex Bores, who says the company's proposals are vague and aimed at limiting state regulation, while an OpenAI spokesperson says the company is engaging both parties, the administration and statehouses nationwide on AI's benefits.

A recent poll showing that a majority of Americans view AI as bad for society underscores the industry's political challenge. For Washington, the immediate lesson is that AI companies may need a more disciplined approach to public communication if they want to reduce regulatory risk and build broader support.

Our earlier article on U.S. AI data center expansion highlighted how the buildout is running into higher financing costs, construction delays, and mounting power constraints. We noted that only a portion of planned projects looks credible as investor sentiment weakens, while local opposition and grid limitations make it harder to scale computing capacity on schedule.

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