Who owns the control plane? Google Cloud Next 2026 and the real contest in agentic AI

The competitive battleground for enterprise AI has shifted from large language models to controlling the 'agentic control plane'—the governance layer that determines what agents can access, execute, and be held accountable for. Google Cloud's strategy positions Gemini as connective tissue across federated data systems (Big Query, AlloyDB, Spanner) with semantic governance through its Knowledge Catalog, aiming to prevent vendor lock-in while capturing control of the semantic context layer that will define enterprise AI success. For IT organizations, this signals that the critical strategic imperative is no longer model selection but rather architecting governance frameworks, data semantics, and multi-agent orchestration capabilities—with Gartner forecasting that 40% of agentic AI projects will be canceled by 2027 due to poor governance and escalating costs.