OpenAI's employees should oppose its support for Leading the Future, which seeks to chill US federal regulation, and Congress should hold hearings on AI risks
Context & Ripple Effects
OpenAI’s policy posture has moved between national and state-level approaches: its 2025 White House proposals warned that the volume of US AI bills could impede US progress, while Chris Lehane described a “reverse federalism” strategy built around state safety laws. The company also sought congressional guidance on the legality of an industry-wide AI-development slowdown.
The confirmed support for Leading the Future puts that record under sharper scrutiny because the group seeks to limit federal AI regulation. The column frames the issue as a conflict between OpenAI’s safety positioning and the political work carried out in its name; public commenters likewise urged employee opposition and congressional attention.
First-order effects
- OpenAI employees gain a concrete target for internal accountability: the company’s support for Leading the Future and the group’s effort to limit federal AI regulation.
- Leading the Future’s backing becomes a potential subject of congressional scrutiny if lawmakers take up the article’s call for hearings on AI risks and industry influence.
Second-order effects
- Leading the Future’s reported push for federal preemption would raise the stakes for state lawmakers pursuing AI safety rules, a route OpenAI itself had previously presented as a way to establish a de facto national standard.
- OpenAI’s safety commitments, including independent evaluators’ employee-like access, face a tougher credibility test when its advocacy relationships are assessed alongside its public safety posture.
Third-order effects
- AI-safety commitments are becoming inseparable from lobbying strategy: labs may be judged not only on evaluations and access promises, but on whether their political alliances expand or constrain public oversight.
- If federal preemption becomes the central regulatory battleground, AI governance could shift from competing state rules toward a national fight over who defines the baseline safeguards.
The trend: AI labs’ regulatory legitimacy is increasingly determined by the alignment—or conflict—between their safety claims, state-level strategy, and federal lobbying.