Reuters reports Greg Brockman and wife donated $25 million to Leading the Future
The Great American AI Act discussion draft
Latest: GAAIA: best Federal AI Safety Bill Yet, Net-Negative as Written
GAAIA's preemption provision would displace state AI safety laws while critics from multiple directions argue the federal oversight framework it creates is too weak to replace them. If the bill passes as written, the trade-off could block state-level safety experimentation without substituting adequate federal oversight.
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The full picture
The Great American Artificial Intelligence Act of 2026, a bipartisan discussion draft by Rep. Jay Obernolte (R-Calif.) and Rep. Lori Trahan (D-Mass.), has drawn critical analysis arguing its preemption of state AI safety laws trades away more than it gains. A Lawfare commentary from the Institute for Law & AI called GAAIA "the best federal frontier AI safety framework yet proposed" but argued it is "net-negative as written" because the sweeping preemption of state AI laws undermines what the bill's safety provisions offer. That analysis also noted Obernolte spent months seeking a Democratic co-sponsor before persuading Trahan, that the bill lacks child safety provisions, and that passing GAAIA as written risks locking in a good-but-ultimately-inadequate 2026 governance framework by blocking state-level experimentation. Separately, policy commentators Miles Brundage and natpurser called the bill a big step back from the FRONTIER Act, citing auditor independence problems, the absence of mechanisms to compel corrective action when auditors find major issues, and the risk of cementing a weak federal ceiling just as AI capabilities are advancing rapidly. The bill's release coincided with a White House June 2026 executive order establishing a voluntary framework for frontier AI developers to share models with the federal government before public release, and an Illinois frontier model safety bill.
How it developed
Meta withdrew roughly $25 million from its planned AI-related midterm election spending, cutting its commitment from about $65 million to $40 million.
Observers described the pullback as unusual and cited it as evidence that pro-safety political forces may be stronger in Washington than previously anticipated. The withdrawal arrived as the Great American AI Act of 2026, a bipartisan discussion draft, faces criticism for lacking auditor independence and preempting state safety laws.
Leaked Anthropic bill drew criticism; Anthropic's head of federal affairs acknowledged preemption language was 'not precise enough'
Representatives Jay Obernolte and Lori Trahan released a bipartisan discussion draft of the Great American AI Act of 2026, drawing immediate criticism from policy commentators including Miles Brundage, who called it 'a big step back from the FRONTIER Act'.
Brundage cited the lack of auditor independence, no strong corrective-action mechanisms when auditors flag major issues, and preemption of state safety laws without a federal regime able to evolve alongside AI capabilities. The bill arrived during what the Future of Privacy Forum described as 'an unusually active few weeks for AI safety policy,' alongside an Illinois frontier model safety bill and a White House June 2026 executive order on voluntary pre-release model sharing.
Lawcommentary.com reported Anthropic lobbying for AI safety bill that would limit government power to block dangerous models
Institute for Law & AI published Lawfare commentary calling GAAIA the best federal AI safety framework yet proposed but net-negative as written due to sweeping state preemption
UIDP publishes analysis noting Section 3 preemption as the most contentious provision
McDonald Hopkins publishes business summary of the draft
Obernolte and Trahan release the Great American AI Act discussion draft
Sources
Related
- Related storyAnthropic's leaked draft AI bill
- The FRONTIER Act federal AI bill
- Senate Bipartisan AI Safety Bill Faces Dispute Over Testing Requirements
- California AI laws and federal preemption talks
- OpenAI's disputes with US AI safety rules
BackgroundWhen AI doesn't do what we meant
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