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Poll: 61% of Americans, Including 53% of Trump Voters, Say AI Self-Regulation Is 'Not Enough'

Policy1 source·Oct 5

Summary

  • • 61% of Americans say AI company self-policing is 'not enough,' per new CSAIP polling
  • • 53% of Trump voters agree that voluntary AI company commitments are insufficient
  • • 54% of voters say government should set and enforce rules for AI development
  • • Findings challenge the Trump administration's voluntary AI accord framework with industry
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Details

Stat

61% say AI self-policing is 'not enough'

CSAIP polling asked whether AI companies policing themselves is the best approach to AI governance. Americans chose 'not enough' by a very wide margin — 61% overall.

Stat

53% of Trump voters also reject AI self-regulation

Even among Trump voters, 53% said voluntary commitments from AI companies are insufficient, indicating this sentiment crosses partisan lines strongly.

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54% want government to set and enforce AI rules

54% of voters said 'the government should set and enforce rules for AI,' reflecting a clear preference for mandatory regulatory oversight over voluntary industry accords.

Policy

Context: Trump's voluntary AI accord under public scrutiny

The CSAIP polling comes in the context of the Trump administration's AI accord, which relies on voluntary commitments from leading AI companies rather than formal legislation or regulation.

CSAIP polling showing bipartisan public opposition to AI company self-regulation and support for government-enforced AI rules.

What This Means

New polling from the Center for Shared AI Prosperity reveals that a strong, bipartisan majority of Americans — including over half of Trump supporters — believe voluntary AI self-regulation falls short. With 54% explicitly wanting government-enforced rules, these results put direct pressure on the Trump administration's current approach of relying on voluntary industry commitments. The cross-partisan nature of these findings suggests that public appetite for formal AI regulation may be politically viable even in the current environment, and could create conditions for legislative action on AI governance.

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