AI Benefit Sharing and the International Telecommunication Union

Digital Policy Hub Working Paper

April 6, 2026

The greatest global powers in AI right now are also powers at odds with one another. The resources for this, which could be the defining factor in training frontier AI, are concentrated in the United States and China, whose strategic rivalry could impede how the benefits of AI are expanded. These great powers have little desire to share their advancements with no promise of a guaranteed return, even if it means cutting out small and middle powers who might be their allies.

Calling upon the case studies of Cold War negotiations over satellite resources, Wim Howson Creutzberg claims that middle powers can successfully advance benefit-sharing agreements by leveraging the strategic interests of great powers, especially if they focus on gaining access to non-zero-sum resources, such as training data and software needed to deploy advanced AI systems.

About the Author

Wim Howson Creutzberg is a former Digital Policy Hub undergraduate fellow who recently completed a B.A. at McMaster University. He is interested in governance mechanisms for mitigating collective action problems and artificial intelligence (AI) policy, and researched how international AI policy proposals enforce coordination.