The enterprise AI war is shifting from model performance to operational infrastructure. While OpenAI, Anthropic, and Microsoft have spent years competing on model capabilities, the next strategic battleground is the control plane that manages AI agents—where they plan, access tools, execute workflows, and prove compliance to security teams.
The rise of the agent control layer
For two years, the enterprise AI debate focused on model benchmarks: OpenAI’s GPT versus Anthropic’s Claude versus Google’s Gemini. But the real competition now centers on who controls the layer where agents operate. This "agentic orchestration" platform determines how AI systems plan actions, integrate enterprise tools, and maintain audit trails—critical functions as organizations scale beyond simple chatbots.
New survey data from VentureBeat’s VB Pulse tracker reveals emerging preferences among technical decision-makers. Microsoft Copilot Studio and Azure AI Studio led platform adoption in February with 38.6% of respondents naming them their primary choice, up from 35.7% in January. OpenAI’s Assistants and Responses API followed at 25.7%, while Anthropic registered its first measurable presence at 5.7%—a small but strategically significant figure that marks the first time Claude appeared in the orchestration tracker.
From model adoption to runtime control
Anthropic’s 5.7% figure shouldn’t be overstated—it’s still a fraction of the market. Microsoft maintains its enterprise distribution advantage, while OpenAI’s larger installed base in orchestration gives it early momentum. However, the jump from 0% to 5.7% suggests a potential inflection point.
This development aligns with Anthropic’s broader enterprise traction at the model layer. The company’s adoption rose from 23.9% in January to 28.6% in February, then surged to 56.2% in March among qualified respondents (with March data flagged as directional due to a smaller sample). The trend indicates that Anthropic’s model momentum may be extending into the orchestration layer, where the stakes are far higher.
Why switching agent platforms is harder than swapping models
Model selection is relatively flexible. Enterprises can route different tasks to different providers—Claude for one workload, GPT for another, and a smaller open model for cost-sensitive operations. The VB Pulse Foundation Models tracker confirms this multi-model strategy is becoming standard practice, with respondents increasingly building orchestration layers that route by task requirements and risk profiles.
Agent runtimes are a different matter entirely. Once a company embeds its workflows, tool permissions, credentials, audit logs, and operational monitoring within a single provider’s environment, migration becomes infrastructure-level surgery rather than a simple model swap. The control plane isn’t just hosting code—it’s managing the entire operational machinery of AI agents.
Anthropic’s infrastructure play takes shape
Anthropic’s ambitions extend beyond providing a model. Its Claude Managed Agents documentation outlines a public beta for a managed agent harness featuring secure sandboxing, built-in tools, and API-run sessions. The company’s engineering posts describe an architecture that decouples the model from the surrounding agent machinery—the session, harness, and sandbox—positioning Anthropic to host the operational environment where agents remember context, access tools, execute code safely, and maintain workflow continuity.
For enterprises, this means more than just performance. They need permission boundaries, audit trails, workflow reliability, and fail-safes when systems malfunction. Security operations teams, in particular, are prioritizing these capabilities. According to the VB Pulse orchestration tracker, security and permissions ranked as the top platform selection criterion in both January and February, with 39.3% of respondents citing them as critical factors.
The enterprise AI battleground of tomorrow
The agent control plane represents the next phase in enterprise AI adoption. Models will continue to evolve, but the real differentiation will come from platforms that can securely orchestrate agents, provide governance across diverse environments, and deliver the operational reliability that security teams demand. Microsoft and OpenAI currently hold the largest footholds, but Anthropic’s early orchestration presence—combined with its surging model adoption—suggests the competition is only intensifying.
As enterprises move from experimentation to production, the platforms they choose will determine not just which AI agents they can deploy, but how securely, reliably, and governably they can operate at scale. The battle over models may soon take a backseat to the infrastructure that brings them to life.
AI summary
Kurumsal AI artık modellerde değil, ajan orkestrasyonunda rekabet ediyor. Microsoft ve OpenAI lider konumunu korurken, Anthropic’in %5,7’lik sıçraması geleceğin altyapı savaşını başlatabilir.
