Microsoft CEO Satya Nadella admits he's a token-maxer, too: "It's addictive"
Satya Nadella's candid admission that even Microsoft's leadership struggles with computational excess reveals a widening gap between optimal and actual LLM deployment practices. His framing of frontier models as a finite resource that shouldn't be squandered on routine tasks signals growing concern within enterprise AI about cost efficiency and token economics. The tension between knowing better and defaulting to maximum capability reflects a broader industry challenge: as models become more capable and accessible, organizational discipline around model selection and inference budgeting remains underdeveloped. This matters because it suggests infrastructure and governance tooling for right-sizing model use will become competitive differentiators.68
