What looks like a capacity problem is often a capability problem. Marketing leaders are increasingly handed AI licences instead of extra headcount, then find their best people stuck correcting drafts. The more useful question is whether the team is short on skills, short on hours, or both.
Two different gaps, two different fixes
Gartner’s 2026 CMO Spend Survey of 401 marketing leaders shows labor’s share of marketing budgets rose from 21.9% in 2025 to 24.5% in 2026. Even so, 38% cite a lack of internal AI expertise and talent as the top barrier to AI-driven efficiency.
A skills gap is the distance between what the work now requires and what the team can produce with its tools. A headcount gap is simpler: the team knows the work but runs out of hours. Training can close the first; only more hands or fewer tasks close the second.
“AI is not a shortcut around marketing capability,” said Ewan McIntyre, who leads Gartner’s marketing research.
What AI does to each gap
AI is often sold as both analyst and extra pair of hands, but it responds differently to each gap. In a survey of 2,003 marketing leaders commissioned by Optimizely and conducted by Savanta, 76% spend at least three hours a week editing, fact-checking, or correcting AI output. More than half, 54%, say leadership underestimates the human effort needed to make that output usable.
Layer AI on a skills gap and you get more output at the same quality, plus a new review job. Checking the work takes skill too: someone who doesn’t understand segmentation can’t catch a bad segment. The same survey found 39% are too busy managing workflows to think strategically, and 46% worry heavy AI use will erode junior skill development.
Three checks to tell them apart
- Look at what gets fixed. Judgment errors—wrong audience, off-brand claims—point to skills. Rushed details—typos, missed steps—point to hours.
- Look at where work waits. If work queues behind one person who knows how to set up a journey, the skill is concentrated in one seat. If anyone could do it but everyone is busy, it’s hours.
- Give the team time and watch. Pause one recurring project for a month. If quality and volume go up elsewhere, the team was short on hours. If nothing changes, it’s a skills gap.
Fix skills first, then add capacity
When a team is short on both, fix skills first. A skills gap creates rework and workarounds that look like a headcount gap. Close the skills gap and part of the capacity problem disappears. The trade-off is real: training takes months while volume targets don’t pause. In the Gartner survey, 56% of CMOs said they lack the budget to deliver their 2026 strategy, and 54% reported insufficient resources.
For budget, keep the benchmark simple: training at 15% to 20% of annual licence cost, and one process and operations role for every three to four core platforms. Apply the same rule to AI tools. A $100,000 AI licence should carry a $15,000 to $20,000 training line.
The fastest way to work on both gaps is to make your next hire a skills hire—someone who knows the work and whose job includes teaching it. Before the next AI request goes to finance, add one line: which gap this purchase closes, skills or people, and how you know.
Source: MarTech
