The podcast details a seismic shift in AI economics, moving from a subsidy era to one of token scarcity. This change is driven by the adoption of usage-based pricing, which has caused massive revenue growth for companies like OpenAI and Anthropic but also led to 'enterprise sticker shock.' A key example is Uber burning through its entire 2026 AI budget in just four months. In response, companies are hedging across multiple AI platforms and seeking cost-cutting innovations, such as DeepSeek's permanent 75% price cut. The focus is also moving from the models themselves to the tools and workflows that harness them, like Claude Code. Policy debates are emerging, with figures like Elizabeth Warren proposing an AI tax, as the industry grapples with the implications of this new, resource-constrained reality.