Google announced it will consolidate Vertex AI capabilities into a new Gemini Enterprise Agent Platform, repositioning its enterprise AI infrastructure around agentic workflows rather than traditional model serving and application frameworks. The move signals cloud providers are standardizing around agent-centric deployment patterns as the primary enterprise AI interface. This reshapes vendor lock-in dynamics—enterprises investing in Vertex AI integrations will face migration costs to the new platform, while competitors offering agent-neutral infrastructure gain leverage. It indicates the agent abstraction layer is becoming the commercial unit, not the model or API endpoint. For builders, this means Gemini Agent Platform becomes the assumed deployment target for Google Cloud customers, embedding agent orchestration, memory, and tool use as native primitives rather than custom additions. Teams currently maintaining custom agent frameworks on Vertex AI should expect deprecation signals and reduced feature velocity on the old platform. The consolidation likely includes pricing realignment—bundling agent capabilities may appear cheaper at point of sale while reducing switching costs through tighter integration with Google's broader cloud services.