MIT FutureTech, led by Director Neil Thompson, investigates how advances in computing and AI drive scientific progress and economic growth — and what risks they pose. Drawing on computer science, economics, and management, the group tracks trends such as the end of Moore's Law, AI's effect on labor markets, and the landscape of AI risks. Their work includes major initiatives like the AI Risk Repository, a comprehensive taxonomy of over 700 identified AI risks, and the Processor Database tracking hardware trends. The group is affiliated with both MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT Sloan's Initiative on the Digital Economy.
Funding Details
- Annual Budget
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- Monthly Burn Rate
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- Current Runway
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- Funding Goal
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- Funding Raised to Date
- $25,000,000
- Fiscal Sponsor
- Massachusetts Institute of Technology
Theory of Change
MIT FutureTech believes that rigorous, interdisciplinary research on AI and computing trends is a crucial input to sound decision-making by policymakers, funders, and industry leaders. By building the empirical foundation for understanding how fast AI is advancing, what risks it introduces, and how those risks are distributed across society, the group aims to help key decision-makers navigate technological transitions in ways that sustain economic prosperity and reduce the chance of catastrophic or poorly-managed AI developments. The AI Risk Repository specifically attempts to close gaps in collective understanding of AI risks so that researchers and policymakers can address the full landscape of hazards, not just those already well-studied.
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Details
- Last Updated
- Apr 2, 2026, 9:50 PM UTC
- Created
- Mar 19, 2026, 10:30 PM UTC