Token caching points to Google’s gap in agentic AI

The author argues that businesses are increasingly favoring agentic AI workflows, such as coding agents, but largely avoid using Google's models for these purposes. As a proxy for agentic usage, cached token share data indicates that Google's share of cached tokens is less than half that of its industry peers. Open article →