Gartner has found that chief marketing officers still rank artificial intelligence as a top priority — even as actual spending on the technology continues to lag behind that stated intent.

The research firm's latest reading of CMO sentiment puts AI at or near the top of the marketing-leadership agenda, but the same data shows budgets have not caught up. The result is a widening gap between what marketers say they plan to do with AI and what they are paying for today.

For marketing leaders, the finding lands at an awkward moment. Boards and CEOs increasingly expect AI-driven efficiency and personalization from the marketing function, while finance teams keep marketing budgets under pressure. CMOs must therefore defend AI investments that their own spending patterns suggest they have not yet fully committed to.

What does the gap between priority and spending mean?

A stated priority without matching budget usually signals one of several things, and each carries a different implication for marketing organizations:

• Pilot-stage caution. Marketers may be running small experiments rather than scaling proven use cases, which keeps line-item AI spending low even as strategic importance rises.
• Budget accounting. AI capabilities are increasingly bundled into existing martech contracts and agency fees, so the investment exists but does not appear as a discrete AI budget line.
• Uncertainty about ROI. CMOs may hesitate to shift dollars until vendors and internal teams can demonstrate measurable returns on AI deployments.
• Talent and process constraints. Spending often follows readiness; where data infrastructure and skills are missing, budget increases tend to wait.

Gartner's finding that AI remains a priority despite the spending lag suggests marketers have not lost faith in the technology. The constraint appears to sit elsewhere — in budget mechanics, proof of value, or organizational readiness.

Why does this matter for marketing leaders now?

The Gartner data point gives CMOs a useful benchmark for their own planning. If AI sits at the top of the priority list, marketing leaders can use that stated intent to negotiate for the budget, data access and headcount needed to act on it. Conversely, a persistent spending gap invites a hard question from the CFO: if AI matters this much, why isn't the money moving?

That question is becoming harder to defer. Marketing's AI agenda spans campaign generation, personalization, media optimization and customer analytics — areas where competitors that do fund deployment can compound advantages quickly. A priority that stays unmatched by investment risks becoming a strategic liability rather than a roadmap.

For vendors and agencies, the finding cuts both ways. Marketers' sustained interest in AI supports continued product investment and AI-flavored positioning. But lagging spend means sales cycles may stay long, with buyers demanding clearer evidence of outcomes before they commit budget.

What should CMOs take from the Gartner finding?

The most direct takeaway is to close the gap deliberately, on one side or the other. Marketing leaders can either fund the AI programs they call a priority, or recalibrate the priority to match what they can realistically invest.

The worst position is the current one Gartner describes in miniature: high stated ambition paired with low commitment. That combination drains credibility inside the organization and makes it harder to secure future budget increases when the business case finally matures.

Gartner's message to the CMO suite is straightforward. AI has held its place at the top of the marketing priority list. Whether it keeps that place depends less on sentiment and more on whether marketing budgets start to reflect it.