The Tech Policy Press Podcast

Following DOGE, US States Pursue 'Efficiency' Initiatives

13 snips
Sep 28, 2025
Maddy Dwyer, a policy analyst at the Center for Democracy & Technology, and Ben Green, an assistant professor at the University of Michigan, discuss state-level efficiency initiatives inspired by the federal DOGE. They dive into how AI is intended to identify inefficiencies but raise concerns about transparency, privacy, and potential misuse. Both emphasize the need for a problem-first approach and caution against using AI as an excuse for austerity. The conversation highlights red flags in AI implementation and the critical importance of guidelines.
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INSIGHT

States Rapidly Adopted DOGE-Style Initiatives

  • Twenty-nine U.S. states pursued state-level government efficiency initiatives modeled on DOGE across party lines.
  • Sixteen states enacted efforts while thirteen proposed them, and eleven explicitly mentioned AI or data use.
INSIGHT

AI Framed As Tool To Cut And Streamline

  • Many state efforts explicitly aim to 'identify and eliminate inefficiencies' using AI and expanded data access.
  • States propose using AI to streamline rulemaking, downsize agencies, and assess funding consolidation.
ADVICE

Require Transparency About Structure And Data Access

  • Avoid opaque structures and demand clear, prompt disclosure about staffing, legal roles, and data access.
  • States should communicate details so constituents know how their personal data will be used.
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