The hidden economics of AI context

Agentic AI shifts enterprise economics from scaling human users to scaling autonomous agents, making the real cost driver not just model tokens but the full stack of data, compute, storage, and network consumption behind each task. For CIOs, this means traditional budget controls are no longer sufficient; IT organizations must design for context efficiency, unify data access across systems and clouds, and optimize for predictable price-performance at scale. The strategic imperative is to treat context engineering and data foundations as core levers for business value, operational control, and sustainable AI adoption.