Stanford AI100 Finds Data and Compute Costs Pressure AI Scaling

A broad estimate from the September review period puts frontier training at tens of trillions of tokens and more than 100,000 high-end GPUs running continuously for months. Stanford's AI100 report highlights how data and compute costs are pressuring AI scaling, raising concerns about sustainability and access.