From tokenmaxxing to tokenomics for your AI agents

Google Cloud Tech
AI summary

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.