Every year the industry produces a fresh reason upper-funnel budgets deserve protection, and every year that reason turns out to be correct in general and unaccountable in particular. This year’s version is AI search. According to IAB’s own newly revised 2026 outlook, adapting to evolving consumer behavior, including AI-driven search, is now the single largest media investment challenge cited by advertisers, named by 44% of buyers, ahead even of concern about “AI slop” at 38%. I do not doubt the anxiety is real. I doubt it is being used as a strategy rather than as a shield.
The Case for Taking It Seriously
The counter-argument deserves to be stated plainly, because it is not weak. IAB’s Chris Bruderle, the organization’s VP of Industry Insights and Content Strategy, frames the shift correctly: “What we are seeing is a pretty meaningful evolution in the AI conversation. Marketers have spent a lot of time asking, ‘How can I use AI?’ Now the question is becoming, ‘How do I reach a consumer who uses AI?'” If a growing share of product discovery happens inside a chat window instead of a search results page, a brand that is invisible in that conversation loses a customer before a paid search auction ever runs. Buyers in IAB’s survey are already responding: 76% now cite optimizing content for AI-generated answers as their top area of increased focus, and 72% cite the underlying large language models themselves. That is a real behavior change, not a rounding error, and IAB raised its full-year 2026 U.S. ad spend forecast to 12.3% year over year growth partly on the strength of it.
Where the Argument Breaks
Here is my problem with it. Every one of those numbers describes where attention is going. None of them describes what happens to a dollar once it follows that attention. IAB’s own CEO, David Cohen, said it as clearly as anyone could: “There is growth to be found, but there are no easy wins.” That sentence is doing a lot of quiet work. It is an admission that the industry can now point to the size of the AI-search problem with real precision while having no comparable precision about which response to it actually works. A brand can increase its “AI visibility” spend by any amount it likes and describe that increase as strategic, because there is currently no shared measurement standard that would let anyone prove otherwise.
That asymmetry is exactly what makes AI-search anxiety such a convenient budget argument. A CMO defending a flat or shrinking performance budget has to show a number. A CMO asking for more upper-funnel or brand-visibility spend to defend against AI search has, for now, only to point at a fear everyone already shares. Fear does not require a control group. It only requires that the alternative, doing nothing, sound worse, and right now doing nothing sounds terrifying to almost everyone in the room.
I have sat through enough budget reviews to recognize the pattern before the deck reaches the third slide. The line item that survives a cut is rarely the one with the strongest causal evidence behind it. It is the one that would look worst to have skipped if the fear turns out to be justified. AI search is a near-perfect vehicle for that logic, because being wrong about it feels existential in a way that missing a quarterly performance target does not. That does not make the underlying concern fake. It makes it exactly the kind of concern that gets funded without the scrutiny a smaller, less frightening request would face.
What I Would Actually Do
None of this means the underlying instinct is wrong. It means the industry has skipped a step. Before a brand increases spend against AI-search anxiety, it should be able to answer a narrower question than “are we visible in AI answers”: is a marginal dollar spent on that visibility producing a marginal customer, and how would we know if it stopped? The forecast increase IAB just published is a signal that the money is already moving. Whether it is moving toward something measurable or just moving away from something scary is the question nobody in that 44% figure has been forced to answer yet.
What It Means for the Marketing Leader
Treat an AI-search budget request the way you would treat any other new line item: demand a hypothesis and a way to falsify it before the money moves, not after. Ask what “visible in AI environments” will look like in a quarter if the strategy fails, not just if it succeeds. AI visibility is becoming a real discipline inside martech, with its own emerging tools and metrics, and that is precisely why it can no longer be funded on anxiety alone. The brands that win this cycle will be the ones that turned a shared fear into a specific, testable bet, not the ones that spent the fastest.
Source: IAB
