Summary

I'm happy to announce the release of "Funding Government in the Age of AI", a research paper from the project I proposed and led over the past several months. The work was conducted at Convergence Analysis, an AI governance think tank, through the Supervised Program for Alignment Research (SPAR). I worked with research fellows Suchet Mittal and Noah Frank, with guidance from our advisors Deric Cheng and Justin Bullock.

In short, we assessed the best ways to ensure governments remain funded when AI transforms the economy. This is the revenue side of fiscal policy^[1] , and to our knowledge, we are the first team in the world to examine it for transformative artificial intelligence (TAI)^[2].

I'm planning to update this post with more insights from my research fellowship and this paper specifically. Until then, consider this a quick announcement stub-post.

Resources

For folks who are curious to read more into the political economy of AI:

• AGI Social Contract
• AI Frontiers

References

Gruetzemacher, Ross, and Jess Whittlestone. 2022. "The Transformative Potential of Artificial Intelligence." Futures 135 (January): 102884. https://doi.org/10.1016/j.futures.2021.102884.

Hendrycks, Dan. 2025. Introduction to AI Safety, Ethics, and Society. 1st ed. CRC Press. https://doi.org/10.1201/9781003530336.

McKernon, Elliot, and Justin Bullock. 2024. Transformative AI and Scenario Planning for AI X-Risk. Convergence Analysis. https://www.convergenceanalysis.org/publications/transformative-ai-and-scenario-planning-for-ai-x-risk.

Roser, Max. 2022. "Artificial Intelligence Is Transforming Our World — It Is on All of Us to Make Sure That It Goes Well." Our World in Data, December 15. https://ourworldindata.org/ai-impact.

Russell, Stuart J., and Peter Norvig. 2022. Artificial Intelligence: A Modern Approach. Fourth edition, global edition. With Ming-wei Chang, Jacob Devlin, Anca Dragan, et al. Prentice Hall Series in Artificial Intelligence. Pearson.