From tokenmaxxing to tokenomics for your AI agents
Ai tokenomics Ai cost optimization Ai agents Enterprise ai Finops Google cloud Ai infrastructure Model routing Prompt engineering Usage based pricing
This episode explores the emerging discipline of Tokenomics—defined as energy to intelligence to value—covering three pillars: production (data centers, edge devices, procured tokens), consumption (model routing, caching, prompt architecture), and value (monetization, usage-based pricing). It discusses Adobe's Big T framework, Pinterest's five-layer cake model, and how hardware memory bottlenecks are ending subsidized AI, aimed at enterprise technical decision-makers managing AI budgets.