P2P

P E E R T O P E E R M A G A Z I N E · S P R I N G 2 0 2 6 83 In the current AI cycle, firms and clients are rapidly deploying mod- el-driven tools. However, founda- tion models -- while advancing in capabilities -- are becoming increasingly interchangeable, and over time, we should anticipate that their differentiation is likely to narrow. Likewise, interoperabil- ity between systems, whether via MCP or another standard, is also a structural inevitability. Under these conditions, sus- tainable advantage is unlikely to reside in the model itself or in the protocol that connects models to models or models to systems. Both are infrastructure layers subject to commoditization and substitution. Therefore, I believe it is fair to state that the durable valuable asset is structured intellectual property: context, metadata, and curated content organized within a gov- erned knowledge layer. In other words, the competitive moat is not the model, and it is not MCP. It is the quality, structure, and governability of the knowledge that sits behind it. Unstructured knowledge is diffi- cult for AI to process consistently. Poor taxonomy silently degrades output quality and inconsistent tagging fragments institutional memory. Without disciplined metadata, even the most power- ful foundation model and AI tool operates on unstable ground. This is why more now argue that long-term advantage is less likely to come from procuring the most polished front-end AI assistant, and more likely to come from knowledge layer investments to: • Structured precedents • Modernize knowledge management capabilities • Standardize metadata taxonomies • Remove friction in the modern knowledge life cycle • Operationalize work products as knowledge assets in the flow of work • Strengthen identity and authorization layers • Building audit and logging infrastructure Firms that underinvest in metadata and KM restructuring, while overinvest- ing in "surface tools," risk building capability (or technical debt) on unstable foundations. MCP AS BOUNDARY PROTOCOL, NOT INTERNAL PLUMBING Internally, there will be some valid use cases for MCP, but for the time being, I expect firms will largely continue to rely on native retrieval systems, enter- prise APIs, and identity frameworks to access their own knowledge assets. These are well established, richer in capability, and operationally hardened. MCP's strategic relevance is at the boundary, or between knowledge layers. For instance, when a model inside the firm needs to invoke: • A third-party legal research platform • A regulatory database • A client-controlled data environment • Or another organization's structured expertise layer In these cases, a standardized protocol to invoke such a query becomes useful. In this sense, MCP is best understood as a boundary protocol, governing how models interact across organizational perimeters in a structured and auditable way. The durable valuable asset is structured intellectual property: context, metadata, and curated content organized within a governed knowledge layer.

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