A few weeks ago I sat on a call and watched an AI agent alarm an entire marketing team.

The agent had one job. Take a quarter's paid budget and reallocate it to maximize pipeline. It ran the numbers and came back with a verdict that landed like a dare: move almost everything out of Google and Facebook, pour it into Bing and LinkedIn, and take Google down to about a thousand dollars.

You could feel the room stiffen. A thousand dollars on Google? Their biggest channel, the one every quarterly review was built around, reduced to a rounding error by a piece of software that had been on the account for weeks.

Somebody said it out loud. That can't be right.

Here is the part I have not been able to stop thinking about since. It was right. The agent was not hallucinating, not glitching, not misreading the data. And the client was right too. Both at once. The ninety seconds it took the team to push back turned out to be the most valuable ninety seconds of the meeting, and I want to walk you through why, because this exact scene is coming to your team, probably this year.

The setup is already in place. CMOs are now putting 15.3 percent of their budgets into AI while only 30 percent say their organisations are ready to scale it, according to Gartner's 2026 CMO Spend Survey. Gartner also predicts that more than 40 percent of agentic AI projects will be cancelled by the end of 2027. Most of those deaths will start exactly the way this call did. A recommendation lands. The team recoils. Trust quietly dies, and the AI is plugged out of the system.

Let me tell you what the agent actually saw, because it deserves more credit than the client gave it.

Every channel runs on a response curve. Early dollars buy pipeline cheaply, because they reach the people who were easiest to move. Each dollar after that reaches someone slightly harder to convince. Eventually the curve flattens, and past that point you are paying premium prices for marginal noise. The agent could see that Google and Facebook were deep into that flat zone for this business and that Bing and LinkedIn were not, so it did the only honest thing an optimiser can do. It moved money from the flat part of one curve to the steep part of another.A

It could see something else, too. Paid channels carry momentum, and the agent projected that one of them would keep throwing off millions in pipeline even in a quarter with zero new spend, purely on the strength of what had been spent before. To a piece of software, that looks like free money sitting next to an overfunded line item. Cut it, move it, book the gain.

I say a version of this to marketing teams almost every month. The ROI you earned up to today is not the ROI your next dollar will get. Teams keep feeding the channel that built their reputation long after that channel stopped rewarding them for it. On the numbers it could see, the agent was not just defensible. It was more disciplined than most humans would have been.

And it was still, completely, unusable.

Here is what the agent could not see.

This team sells into regulated industries, hospitals and banks among them. Inside those buildings, IT locks the computers down, the browser that ships on them defaults to Bing, and a real share of buyers search there without ever choosing to. So Bing genuinely over-performs its market share for this specific company, even though Google still holds around 90 percent of search everywhere else, per StatCounter. Going all in on either platform would have been malpractice, and the operators knew it in three seconds. The agent had no way to know it at all.

It also did not know that a single seven-figure opportunity, already dead, was quietly bending an entire channel's curve upward. Pull that one deal out of the data and the whole case for the big reallocation gets shaky. Nobody had told the agent the deal was gone, because why would you, it was obvious to everyone in the room.

And there was more. Most of the year's budget had been committed back in January and could not be moved. Some of the channels the agent wanted to flood could not physically absorb the money. And this team steers by qualified engagements that turn into pipeline two or three quarters later, so optimising purely on this quarter's number was optimising on an echo.

Every objection raised on that call was a true fact about the business. And not one of those facts lived anywhere the agent could reach. They lived in people's heads.

That gap has a name, and the name is not intelligence. It is context

So when the moment comes, and it will, do not let the meeting room split into the people who trust the agent and the people who do not. Do something more useful.

Harvard Business Review named the deeper stakes in May. They call it the Agentic Convergence Trap. When every company runs similar agents on the same data, their decisions drift toward the same answer, and the edge each of them spent years building quietly dissolves. HBR found it already happening in hotel pricing, in grocery promotions, in housing. Their prescribed way out is to feed your agents proprietary data and keep human judgement in the decisions that matter.

RevSure is built on that idea before it had a name. Which is really just the longer version of what that scare among the clients taught me in ninety seconds. A year from now, everyone will have the same agents. Nobody else will have your context.