The Center for Shared AI Prosperity (CSAIP) polled roughly 56,000 Americans about 79 distinct AI-related policy proposals to determine which ideas enjoy broad public backing. The survey aimed to identify where the public is receptive to different interventions as policymakers and campaigns prepare for upcoming debates.
Key findings
CSAIP reports that "Americans are broadly supportive of economic policies addressing AI disruption." The organization highlights particularly strong support for measures that help workers adjust to automation, including funded training, apprenticeships, and strengthening the social safety net.
The most and least popular proposals in the survey, with the scores published by CSAIP, are:
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Top-supported proposals
- Expand apprenticeships (+66)
- Require severance for jobs lost to automation (+63)
- Sector-based job training programs (+60)
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Least-supported proposals
- Creation of a U.S. sovereign wealth fund (-51)
- Tax on distributed profits (-33)
- Universal basic income (-33)
Why it matters
CSAIP notes that a popular policy is not necessarily an effective one; the poll primarily reveals where public opinion is already open to certain ideas and where more organizing would be required for bolder proposals to gain traction. These findings are especially relevant to politicians, advocacy groups, and legislators as they craft proposals and messaging ahead of political contests.
Conclusions
The survey suggests voters favor pragmatic, worker-focused policies to address AI-driven disruption, while more transformative or redistributive proposals currently have less public support and would likely need greater political effort to implement.
