AI takeoff slows six‑fold with tenfold compute cut, new analysis shows
A fresh model of AI progress treats compute as a flow rather than a stock, showing that cutting R&D compute by a factor of ten stretches the median takeoff timeline by roughly six‑fold (80 % confidence interval 3.5‑8×). This narrows expectations for rapid breakthroughs under compute constraints and informs policy debates on AI governance.