Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI

The AI industry is currently defined by a "triangle" economic structure where massive capital expenditure in semiconductors and infrastructure significantly dwarfs application-layer revenue. While hardware providers and hyperscalers capture the majority of value, AI applications remain in an early, high-cost phase, struggling to achieve the high gross margins typical of previous software revolutions. The transition from current knowledge-work tools to mass-market utilities requires moving beyond simple subscription models toward intent-based advertising, mirroring the historical evolution of mobile monetization. Despite significant investment, the current ecosystem remains unstable, with the most profitable value accruing at the hardware level. Future growth depends on whether AI applications can achieve the scale and mandatory utility of platforms like WhatsApp or YouTube, or if they will remain niche tools reserved for active, high-effort tasks.