OpenAI Blog

Industrial policy for the Intelligence Age

Explore our ambitious, people-first industrial policy ideas for the AI era—focused on expanding opportunity, sharing prosperity, and building resilient institutions as advanced intelligence evolves.

arXiv AI
Jun 16

Artificial Intelligence Index Report 2026

arXiv:2606. 15708v1 Announce Type: new Abstract: Welcome to the ninth edition of the AI Index report.

By Sha Sajadieh, Loredana Fattorini, Raymond Perrault, Yolanda Gil, Vanessa Parli, Lapo Santarlasci, Juan Pava, Nestor Maslej, Russ Altman, Erik Brynjolfsson, Carla Brodley, Jack Clark, Virginia Dignum, Vipin Kumar, James Landay, Terah Lyons, James Manyika, Juan Carlos Niebles, Yoav Shoham, Elham Tabassi, Russell Wald, Toby Walsh, Dan Weld
arXiv AI
4d ago

What if automating AI R&D triggers an intelligence explosion?

The article examines whether increasing automation of AI research and development could trigger an intelligence explosion, compressing years of progress into months. It reviews preliminary evidence suggesting such acceleration is possible, discusses potential benefits and extreme risks—including loss of control over superhuman AI and erosion of checks on power—and calls for urgent policy action. The authors argue that, despite uncertainties, the high stakes demand serious attention and proactive measures.

By Alan Chan, Christoph Winter, Andrew Barto, Jakub Pachocki, Geoffrey Hinton, Eric Horvitz, Yoshua Bengio, Dawn Song, Jack Clark, Hilary Greaves, Anton Korinek, Samuel Hammond, Thore Graepel, Ben Bariach, Philip H. S. Torr, Sheila A. McIlraith, Jeff Clune, Sam Manning, Girish Sastry, Tom Davidson, Daniel Eth, S\"oren Mindermann
OpenAI Blog
Oct 27, 2025

Seizing the AI opportunity

Meeting the demands of the Intelligence Age will require strategic investment in energy and infrastructure. OpenAI’s submission to the White House details how expanding capacity and workforce readiness can sustain U.

OpenAI Blog
Jul 10, 2019

Why responsible AI development needs cooperation on safety

We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry cooperation on safety norms in AI: communicating risks and benefits, technical collaboration, increased transparency, and incentivizing standards. Our analysis shows that industry cooperation on safety will be instrumental in ensuring that AI systems are safe and beneficial, but competitive pressures could lead to a collective action problem, potentially causing AI companies to under-invest in safety.