Agent stack layers may be transient

The new argument in AI infrastructure is not really about agents. It is about where value survives after the hype burns off. A YouTube commentary making the rounds this week put the point bluntly: many of the orchestration layers now being sold as the control center for AI agents may not last another 18 months. The reason is simple. The big model providers are steadily absorbing the most generic parts of that stack into their own platforms. OpenAI’s Responses API already bundles stateful interactions, tool use, hosted MCP connections, and agent frameworks. Microsoft is exposing the same Responses model through Azure. Anthropic, meanwhile, pushed the industry toward a common connector layer with the Model Context Protocol, or MCP. (developers.openai.com) That changes the shape of the market. A year ago, it was easy to imagine a thick middle layer of startups that would coordinate models, tools, memory, and workflows for everyone else. But orchestration logic is exactly the sort of feature a platform owner can standardize, ship broadly, and make feel free. OpenAI now describes its Agents SDK as a lightweight framework for building single agents or orchestrating networks of them, with tracing and guardrails built in. When the platform itself handles loops, tool calls, approvals, and multi-step state, a wrapper that mostly rearranges those same pieces starts to look thin. (developers.openai.com) The durable pieces sit closer to the enterprise mess that foundation model companies do not fully own. Connectors are one of them. Anthropic introduced MCP in November 2024 as an open standard for linking assistants to business tools, repositories, and databases, explicitly to replace one-off integrations with a universal protocol. OpenAI now supports both remote MCP servers and its own maintained connectors for services like Google Workspace and Dropbox. That means the hard problem is no longer inventing a clever orchestration diagram. It is getting the model into the right internal systems, with the right permissions, under the right controls. (anthropic.com) Once agents can reach real systems, governance stops being optional. OpenAI’s own documentation warns that a malicious remote MCP server can exfiltrate sensitive data from anything that enters the model’s context. Its tooling now emphasizes approval gates, tracing, guardrails, and agent evals. The company’s recent guidance for governed agents is telling. The focus is not on magical autonomy. It is on policy enforcement, observability, adversarial testing, and repeatable evaluation runs. That is where enterprise buyers spend money when prototypes turn into production systems. (developers.openai.com) Cost is the other control point that lasts. Provider platforms can commoditize orchestration features because software abstractions are easy to copy. They cannot erase the economics of a bad workflow. Every extra agent handoff, every redundant tool listing, every bloated context window, and every unnecessary model call shows up on a bill and in latency. OpenAI’s MCP tooling docs and cookbook examples keep returning to the same operational details: trim available tools, reduce extra hops, cache where possible, and evaluate behavior systematically. In practice, a company that cuts token waste and failure rates has built something much harder to displace than a dashboard that draws boxes between agents. (developers.openai.com) That is why the commentary’s warning lands. The flashy part of the agent stack is also the most replaceable part. The more the major providers converge on common primitives for tool use, conversation state, and orchestration, the less room there is for middle layers that do little beyond packaging those primitives. What remains valuable is the work that touches proprietary systems, compliance boundaries, and operating budgets. Anthropic’s original MCP launch included prebuilt servers for Google Drive, Slack, GitHub, Postgres, and Puppeteer. That concrete list says more about the future of agents than any architecture slide. (anthropic.com)