What CMOs can do when the team makes more with AI and the numbers look the same
More output is the most common result of AI in marketing, and it is weak evidence of return. The return depends on Direction, which means pointing AI at a number marketing already reports, and on Skill, which means getting past the first draft. Report the change in that number against a baseline, and where the freed hours went.
The question, in the CMO's words
“The board wants to know what AI did for marketing's numbers. My team uses it every day and produces more. I can't say what it changed.”
More work, and the same results
Marketing teams took to AI early because so much of the work is drafting and versioning. Volume goes up fast. Somebody still has to review all of it, and if the work is not better, the extra volume costs attention without moving a result.
The question the board is asking is about the business. A count of assets produced does not answer it.
Point AI at a number you already report
The AI Profitability Gap™ is the distance between what a company expected AI to deliver and what it is delivering. It comes down to three conditions standard reporting misses: Direction, Skill and Reinvestment.
For marketing, Direction usually means choosing one measure the function already reports, such as cycle time from brief to launch or conversion on a channel, and pointing the AI work at it. BCG's 2026 survey found that a clear AI strategy lifted measurable business impact by 25 percentage points, against about five points for better tools alone (BCG, June 2026).
Skill means agreeing what good looks like for a piece of work before it goes near an AI model, and judging what comes back against that standard.
What to tell the CEO
Report the chain: what was spent, how widely the team uses the tools, the measure the work is pointed at, and how that measure has moved against its baseline. Add where the freed hours went. If a measure has not moved yet, say so and show what you are watching.
What to do first
- 1. Choose one marketing measure and one recurring piece of work that feeds it. Record the baseline.
- 2. Agree what good looks like for that work before the next round goes through an AI model.
- 3. Take the free AI Profit Readiness Assessment with your team. It is eight questions and about two minutes.
- 4. Bring the team into the AI Profit Workshop, a founder-led half-day for up to six people, $2,999, credited in full toward the AI Profit Sprint if you start one within six months.
Questions marketing leaders ask
How do I measure the ROI of AI in marketing?
Pick a measure marketing already reports, take a baseline before the AI work, and measure the same thing afterward. Then check where the saved hours went. Output counts and tool usage are inputs; they do not show return.
Why does my team produce more with AI and results stay flat?
Usually because the AI work is not pointed at a specific measure, or because the work is faster without being better. Both are fixable, and neither needs new tools.
Is there a book on the people side of AI for marketing leaders?
Yes. The Elephant in the Algorithm is our book for C-suite leaders, CMOs included, on making AI pay through people.
Is the AI Profit Workshop only for marketing teams?
No. It suits any leader who has taken the Assessment and wants their team in the room, and it is where most marketing leaders start.
Next step
A two-minute read on where your team's AI use stands and which condition is costing marketing most.
Sources
- BCG, AI at Work: Why Strategy Matters More than Tools, press release, 3 June 2026https://www.bcg.com/press/3june2026-ai-reshaping-jobs-faster-than-companies-reshaping-work