Latest Interviews
Showing 1–2 of 2 transcripts.
Clear all filters- Stanford Online34 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI
Apoorv Agrawal, Chloe Fang, Ali Ghotzi, Jensen, Mark Andreessen, Demis
Aporv, leader of Altimeter's AI-focused investment firm, leads a nine-week course applying Chatham House rules to analyze the economic stack of the artificial intelligence sector. The curriculum dissects the current "triangle" market structure where semiconductor firms capture 75% of revenue growth while application layers struggle with thin margins due to significant inference costs. Participants develop mental models to navigate Series A investment opportunities and predict a potential decade-long shift in value distribution should hyperscalers successfully deploy specialized ASICs to alter the cost equilibrium.
- Stanford Online41 min
Stanford CS153 Frontier Systems | Scale, AGI, and the Future of Everything
The event analyzes how affordable compute and large language models have exponentially increased the scale and ambition a single founder can achieve, effectively rewriting the rules of startup founding. It details OpenAI's pivot from research to product with ChatGPT, arguing that future AI success depends on treating inference as a utility and prioritizing cheap, abundant intelligence over hardware ownership. Finally, the discussion outlines a probable trajectory toward democratized access where citizens own equity in AI capital, necessitating an educational shift toward meta-skills as critical thinking faces atrophy.