The Real AI Battle: Control Planes, Not Models
New VB Pulse survey data shows Microsoft and OpenAI dominating enterprise agent orchestration platforms, but Anthropic's first measurable appearance in the tracker signals a strategic shift in how the AI market will compete. Rather than fighting over which model answers prompts best, the next battleground is the control plane where agents plan, access tools, run workflows, and prove compliance to security teams. Anthropic moved from 0% to 5.7% adoption in orchestration between January and February, a small number that gains significance because it coincides with Claude's dramatic rise in enterprise model adoption, from 23.9% to 56.2% in the same quarter.
TL;DR
- →Microsoft Copilot Studio and Azure AI Studio lead enterprise agent orchestration at 38.6% primary-platform adoption, up from 35.7% in January
- →OpenAI's Assistants and Responses API holds second place at 25.7%, up from 23.2%
- →Anthropic entered the orchestration tracker for the first time at 5.7% in February, moving from zero in January
- →Claude's concurrent rise in model adoption (56.2% in March, up from 23.9% in January) suggests model momentum may be spilling into the orchestration layer
Why it matters
The enterprise AI competition is shifting from a model war to a control plane war. Orchestration platforms determine where agents actually run, how they access data, and how enterprises prove governance and auditability. Anthropic's emergence in this layer, even at small scale, indicates the market structure is consolidating around infrastructure choices rather than just model quality, which has major implications for vendor lock-in and enterprise flexibility.
Business relevance
For operators and founders, this means the next wave of enterprise AI value may not come from better models but from platforms that orchestrate agents, enforce governance, and integrate with existing enterprise systems. Companies building on top of these control planes need to choose their infrastructure partner carefully, as switching costs will be higher than swapping models. Vendors like Microsoft, OpenAI, and now Anthropic are competing to own this layer, which will shape pricing, feature roadmaps, and competitive dynamics for years.
Key implications
- →Model commoditization is accelerating: enterprises are adopting multi-model strategies, making individual model quality less of a differentiator and shifting competitive advantage to orchestration and governance layers
- →Vendor lock-in risk is rising: agent runtimes are harder to swap than models, so enterprises choosing a control plane are making a longer-term infrastructure commitment than they would for model selection alone
- →Anthropic's timing matters: Claude's strong model adoption gives Anthropic a credible entry point into orchestration, but Microsoft's distribution advantage and OpenAI's installed base mean the market is far from settled
What to watch
Monitor whether Anthropic's orchestration adoption continues to grow in tandem with Claude's model adoption, or if the two remain decoupled. Watch for feature announcements from Microsoft, OpenAI, and Anthropic around governance, auditability, and multi-agent workflows, as these will be key differentiators in the control plane battle. Also track whether open-source orchestration frameworks gain enterprise traction as an alternative to proprietary platforms.
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