The TWIML AI Podcast · Wednesday, September 9, 2026
Chris Potts, a Stanford professor and co-founder of Big Spin, discusses the growing need to consider the economic sustainability of AI models. As reasoning models consume more tokens and agents become integrated into workflows, the costs and incentives associated with AI usage are becoming impossible to ignore, leading to a focus on 'tokenomics.' This shift prompts questions about the return on investment for AI token purchases.
“It's also about making them economically sustainable.”
“That's given rise to a new conversation around tokenomics. How we think about costs and incentives and tradeoffs shaping the next generation of AI.”
“What are our tokens actually buying us?”