Evans argues that AI adoption is still in its infancy, with only 10% daily active users, contrasting the intense enthusiasm in Silicon Valley with broader market reality. He identifies agentic coding as the first clear product-market fit, driving a supply crunch and narrowing the industry's focus. The discussion highlights the tension between massive infrastructure investment and uncertain returns, comparing AI models to commoditized infrastructure like hyperscalers and semiconductors. Evans suggests that value will likely be captured further up the stack, with foundation models becoming utilities rather than final products. He draws parallels to past platform shifts, noting that AI's future constraints—model size, cost, and speed—remain unknown. The conversation also explores how AI will reshape professional services by automating entry-level work, fundamentally altering traditional pyramid structures, and predicts that AI will eventually become an invisible, transformative utility that people take for granted.