AI Came for Math. Now It’s Chasing the Rest of Science

A study by Neil Thompson and colleagues at MIT shows that AI models have rapidly improved in solving theoretical problems across fields like physics, economics, and statistics, rising from 2% to 35% accuracy between 2024 and 2026. This progress suggests AI will soon transform many scientific disciplines reliant on theory, beyond mathematics where breakthroughs like solving the Navier-Stokes problem have already occurred.