We are building a comprehensive map of the individuals and groups with the potential to shape AI policy in the United States. The goal is to produce a structured, shareable, and dynamic resource that identifies who is working on what, where the gaps are, and which partnerships might form across ideological and organizational lines.
The landscape of AI policy in the U.S. is fragmented. Safety researchers, frontier labs, legislators, civil society, and investors all have a stake in AI governance, yet there is no public resource showing where these actors stand on critical issues in AI. The 2026 midterms and 2028 presidential elections are rapidly approaching, and these groups are laying the intellectual groundwork for candidates' technology platforms. A clear layout of the competing worldviews and theories of change is a necessary step to political coordination. This work is long overdue—those who engage first will set the terms of the discussion.
Michel Justen's "A Guide to the AI Tribes" provides a useful taxonomy of the ideological camps shaping AI discourse, while aisafety.com visualizes the safety ecosystem. But we've yet to see anything that maps the full potential of the policy landscape—civil society, industry, government—and where these actors stand on crucial governance questions, such as the technology's capabilities and the role of public policy. We aim to fill that gap.
By mapping key actors, we hope to identify and fuse a new partnership for AI governance. We intend this alliance to be as transformative for technology policy as the NSF, NIH, and DARPA were in the postwar period. The goal is not just to regulate emerging technology, but to articulate a new social contract between the technological frontier and the public—and to build the institutions necessary to realize that vision.
We're compiling an initial list of organizations, individuals, and influential resources. If you work in or adjacent to any of the categories above, we welcome your input on who and what should be included. Add a person, organization, or resource →