Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, Applied AI
Base 10 CEO Tuhin explains why AI inference is shifting from frontier models to custom post-trained models as companies scale, driven by 70-90% cost savings, latency requirements, and the strategic need to own proprietary data rather than feed it to potential competitors.