Agentic Landmark · The Brief
Briefs tagged strategy in The Landmark Brief.
An agent and a seller want the same things right up until the recommendation, which is the one moment that decides the sale. Whoever funds the agent decides what happens there. For the agents that earn the highest-value delegation, there is no rate card, and there was never going to be one.
Agent selection is a funnel with its own stages and its own success event, and almost nobody instruments it. Winning upstream and winning downstream produce the same blended number, which is why the single-funnel view sends you to fix the wrong half.
A category of agent software now ships the org chart as the interface for running agents. It is intuitive, and it is the wrong unit of analysis. A reporting line records who answers to whom. It does not bound what may be committed, on which workflow, by which principal.
Adding AI features makes your platform smarter for the humans who use it; agent native means autonomous agents can call every capability directly, with delegated authority, and for commerce that architecture decision is being made today.
Most coverage reads the Stainless acquisition as a developer-tools story. It is a connectivity story. Anthropic is vertically integrating the layer that turns an API spec into the MCP servers Claude agents use to reach your catalog, inventory, loyalty, and checkout.
Google's new guidance says you are overthinking AI search, no llms.txt, no AI-specific pages, no overfocus on structured data. For Google's own search features, that is right. For an agent querying your catalog through ACP or UCP, it is the opposite.
The job is stable: get the right product, at the right price, with the least friction, reliably. What changes across AI's three horizons is the consumer's conscious role, which shrinks, moving brand influence from marketing to infrastructure and giving early builders a compounding edge.
The Google versus OpenAI race decides which interface consumers use. It does not decide whether your brand is in it. That is settled by whether your product data is structured, machine-readable, and connected to whichever protocol the winner runs on.
Agentic commerce runs on compute, and compute runs on power the grid was not built to deliver. By 2030 AI data centers may out-consume heavy industry, and in Virginia households, not hyperscalers, are already paying for it. That is worth caring about.
McKinsey's twelve AI themes are the right principles, but for commerce the urgent work concentrates in two: structured product data that decides whether agents can select you, and the authorization surface where consumer trust in an agent is won or lost.
