Ninety-nine percent of chief marketing officers now rank generative AI as a top priority, according to the latest SaaStr-reported figures, while their budgets have not grown in more than three years. That pairing deserves a second look. Ambition is up; the money is not.

The number is the story here. Flat budgets for three-plus consecutive years, set against near-universal CMO enthusiasm for Gen AI, tells you where the funding for AI projects actually comes from. It comes from somewhere else in the stack.

What does flat budgeting actually mean?

A marketing organization that has held the same budget for three years is, in real terms, a shrinking one. Inflation eats the margin quietly. Headcount, agency fees, media buys — all of it costs more than it did in the last planning cycle.

So when 99% of CMOs say Gen AI is a top priority, they are not announcing new spending. They are announcing a reallocation. Something old gets cut so something new can run. That is the practical arithmetic, and nobody in the survey data appears to have repealed it.

The priority is unanimous. The purse is not.

Who is actually funding the AI push?

Marketing budgets fund marketing tools, in principle. But three flat years force trade-offs, and trade-offs mean the AI line item competes directly with campaigns, events and staff. Vendors selling Gen AI into marketing departments should read this survey with clear eyes.

The buyer wants the product. The buyer's budget says otherwise. Sales cycles in this category will likely run longer than the enthusiasm suggests, because the enthusiasm has no dedicated dollars behind it.

For CMOs themselves, the survey reads less like a victory lap and more like a signal flare: they see the technology as necessary, and they see no new money arriving to pay for it.

What should vendors and operators take from it?

Three practical reads stand out:

• Pricing pressure is structural. Flat budgets mean every AI subscription displaces an incumbent line item.
• The 99% figure is a demand signal, not a purchase order. Priorities convert to contracts slowly when budgets hold still.
• Efficiency claims sell. A tool that demonstrably cuts cost fits a flat budget; a tool that only adds capability does not.

The market is enthusiastic and broke, in that order.

The verdict

n Surveys like this one get quoted for the 99%. The operative number is the other one: three-plus years of flat budgets. Marketing leaders have made generative AI a near-unanimous priority without a near-unanimous budget, which means every AI adoption in the sector is, functionally, a subtraction somewhere else.

Enthusiasm is free. Deployment is not.