We are an interdisciplinary group that studies the foundations of progress in computing: what are the most important trends, how do they underpin economic prosperity, and how can we harness them to sustain and promote productivity growth.

Latest news & insights

FutureTech announces workshop on The Role of AI in Science

The FutureTech workshop on The Role of AI in Science brings together scientists from different fields to discuss the role of AI in Science. The workshop is invite-only.

October 16, 2024

Presenting the AI Risk Repository

MIT FutureTech release the AI Risk Repository: a comprehensive and accessible living database of 700+ risks posed by AI that will be expanded and updated to ensure that it remains current and relevant.

August 14, 2024

Putting the economic impact of GenAI into scale

We compare projections of Generative AI’s economic impact with that of other technologies from both modern and historical times. We consider impact along two dimensions - GDP and productivity.

June 20, 2024

Featured Research

Machine Learning and Algorithms

Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?

January 2024

Maja S. Svanberg, Wensu Li, Martin Fleming, Brian C. Goehring, Neil C. Thompson

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Machine Learning and Algorithms

How Fast do Algorithms Improve?

Proceedings of the IEEE

September 2021

Yash Sherry, Neil Thompson

Moore’s Law and Computer Performance

The Decline of Computers as a General Purpose Technology

Communications of the ACM

March 2021

Neil Thompson, Svenja Spanuth