Marketing teams love their AI, and who can blame them? Marketers report some of the highest AI impact of any professional function. Eighty-six percent say AI helps them feel more accomplished, and 88% say it makes ambiguous, difficult work easier to start, exactly the kind of work that fills a marketer’s day. By that measure, AI is doing exactly what it promised.

But the same data that shows marketers benefiting from AI also shows them having to clean up after it the most. Seventy-three percent of marketers say AI creates extra work to review or fix. That is a staggering 13 points higher than the broader workforce. AI is helping marketers produce more, but it’s also draining their energy to wrangle all that extra output. Output keeps climbing, but impact hasn’t followed—and the data from our latest report shows exactly why.

AI improves marketing work—not just by producing more of it—when three things are true: It lives where marketers already work, it’s grounded in the brand and its data, and it carries context across the entire workflow:

1. Where AI shows up. Marketers shouldn’t have to leave their workflow to get help from AI. The highest-value AI works inside the tools they’re already using, with the context it needs to be useful from the first prompt, not after three rounds of reexplaining the brief.
2. What AI is grounded in. Generic AI produces generic outputs, which is exactly what’s driving the review and rework marketers are currently bogged down by. AI that knows the brand voice, past campaigns, and the customer produces work that’s usable on the first pass, not the third.
3. What actually gets connected. Integration matters, but only if it spans the full workflow. Two tools talking to each other don’t help if the next five steps are still disconnected. The real goal is for context to carry forward automatically throughout the work's path, from brief to draft to distribution.

Get all three right, and AI stops adding to the pile and starts clearing it.