The power required to train the largest frontier models is growing by more than 2x per year, and is on trend to reaching multiple gigawatts by 2030.| Epoch AI
AI’s biggest impact will come from broad labor automation—not R&D—driving economic growth through scale, not scientific breakthroughs.| Epoch AI
We investigate four constraints to scaling AI training: power, chip manufacturing, data, and latency. We predict 2e29 FLOP runs will be feasible by 2030.| Epoch AI
If trends continue, language models will fully utilize the stock of human-generated public text between 2026 and 2032.| Epoch AI