The Interoperability Mandate: Why Agent Skills Are Your New Moat

4 min read

I have spent the better part of two decades watching software markets consolidate around proprietary standards, only to watch those same standards become liabilities the moment a credible open alternative emerged. We are at that inflection point again, except this time the stakes are higher because the asset in question is not a file format or an API schema. It is agency itself. As the Agentic AI Foundation moves to standardize how autonomous agents acquire, advertise, and exchange capabilities, founders who have spent the last two years building proprietary agent silos are sitting on technical debt they do not yet recognize.

Let me be direct about what is happening. The industry's early agentic products were built the way every first-generation platform is built: vertically integrated, tightly coupled, and defensible primarily through switching costs rather than genuine differentiation. That made sense when the category was nascent and nobody could agree on what an "agent skill" even was. It does not make sense anymore. A standards body with real industry backing is now doing the unglamorous work of defining interoperable skill schemas, capability discovery protocols, and permissioning models that let agents from different vendors call on each other's functions without custom integration work. That is not a minor technical footnote. It is a market structure event.

The Moat You Thought You Had Was a Toll Booth

Many founders I advise conflate lock-in with defensibility. They are not the same thing. Lock-in works until a buyer has an alternative that costs less to switch to than the pain of staying put. The entire purpose of an open skills standard is to collapse switching costs to near zero at the capability layer, while leaving room for genuine differentiation everywhere else: data quality, domain expertise, workflow design, trust, and execution speed. If your only moat has been "our agent doesn't talk to anything else," that moat is about to be filled in by every competitor who adopts the standard before you do.

I want to be fair to the counterargument, because I have made it myself in board meetings. Proprietary integration has real short-term benefits: tighter control over the user experience, cleaner margins on bundled features, and a defensible reason for customers to stay within your ecosystem. Those benefits are real, but they are time-limited. They work in a pre-standardization market. Once a credible open standard exists and enterprise buyers start asking procurement questions about interoperability, the proprietary silo becomes a sales objection rather than a sales advantage.

What "Skills as a Moat" Actually Means

The founders who will win the next phase are not the ones who resist the standard. They are the ones who treat open-standard skill compatibility as table stakes and build their actual competitive advantage one layer up. That means three things in practice.

Depth over breadth in your published skills. If your agent exposes a scheduling skill, a retrieval skill, or a domain-specific reasoning skill through the open standard, the quality, reliability, and latency of that skill becomes the product. Interoperability does not mean commoditization if your implementation is demonstrably better.
Composability as a growth channel. Once your skills are discoverable and callable by third-party agents, you gain a distribution surface you never had to build yourself. Other companies' agents become your sales force, invoking your capability inside workflows you had no hand in designing. This is the API economy lesson relearned at the agent layer.
Trust and governance as differentiators. Interoperability raises the stakes on permissioning, auditability, and safe execution. Founders who get ahead of the Agentic AI Foundation's governance requirements, rather than treating them as compliance overhead, will be the vendors that enterprise risk committees actually approve.

The Multi-Platform Reality Is Already Here

Enterprise buyers are not going to standardize on a single agent platform any more than they standardized on a single cloud provider or a single messaging protocol. The future is heterogeneous: agents from different vendors, different foundation models, and different orchestration layers operating inside the same enterprise workflow. In that world, an agent that cannot discover and invoke skills outside its own vendor boundary is a dead end, regardless of how sophisticated its internal reasoning is. Compatibility is not a nice-to-have feature. It is the precondition for being invited into the workflow at all.

Standards do not eliminate competition. They relocate it. The companies that understood this in networking, in mobile operating systems, and in cloud infrastructure are the ones still standing.

What I Am Telling My Portfolio and Clients

Audit your agent architecture now for hidden proprietary dependencies, particularly in how capabilities are described, discovered, and invoked. Map every place where your current integration logic assumes a closed world, and begin the migration toward the emerging open schema before your competitors do, because early implementers set the de facto patterns other vendors build against. Treat your legal and governance posture around agent permissions as a product feature, not a back-office function, because the Agentic AI Foundation's standardization effort will inevitably bring regulatory and procurement scrutiny with it.

The founders who internalize this shift early will not lose their edge by opening up. They will relocate it to where it is actually defensible: in execution quality, domain trust, and the breadth of workflows their agents can participate in. The ones who wait will find that interoperability was never optional. It was simply a mandate that arrived before they were ready for it.