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AI is delivering significant results for 6% of marketing organisations, Bain says
Bain found 95% of marketing organisations have adopted AI tools but only 6% see significant performance impact, in a survey of 1,397 executives. With adoption close to universal, what sets the few apart looks like how their teams are organised, a link Bain's data suggests but cannot prove.
The Board Room · Leadership desk
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What happened
- Bain's 'leaders' were twice as likely as laggards to credit AI initiatives with double-digit revenue growth or cost savings.
- The same leaders were also twice as likely to have restructured teams and job descriptions around AI capabilities.
- A separate Dentsu Creative survey of 1,950 senior marketers found 70% had not yet seen major cost efficiencies from AI.
- A PwC survey of 4,454 CEOs published in January found 56% had seen neither higher revenue nor lower costs from AI over the prior 12 months.
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Why it matters
- decision Marketing budgets set this quarter now split between more tools, which nearly every rival already owns, and the team redesign Bain associates with the few reporting results.
- constraint A reorganisation business case that cites this survey rests on self-reported attribution from a small group of fast growers, and a finance committee can fairly discount it.
- cost Copying the leaders' model puts the cost on narrow specialist roles, and the people displaced face a marketing job market with fewer openings than before the pandemic.
The board-deck version of this survey is reassuring: the company has adopted AI tools, like 95% of marketing organisations in Bain's sample [2]. That version leaves something out. Nearly every respondent has the tools, so having them cannot explain why 6% report significant performance impact [3] and 94% do not [1]. Laura Beaudin, a Bain partner, put the gap down to time. "It just speaks to the fact that transformation is hard, and it takes time," she said [10].
Bain's account of what its leaders do is about how they are organised. They centralise AI strategy to remove functional silos, rebuild workflows, restructure teams and aim the tools at customer-facing work such as personalisation built on first-party data [6]. "But it's the knitting of it all together that is both harder, and where I think the big value will come from," Beaudin said [7]. Patricia McDonald, global chief strategy officer at Dentsu Creative, reached the same place from her agency's research. "Now, what people are realizing is that the promise is still extraordinary, but buying the software is a fraction of the job," she said [9].
A skeptic would say Bain chose its winners by growth and then asked them whether AI drove their growth. On that view, companies adding more than 11% to revenue and 7% to market share each year [4] would credit whatever they had recently bought. The objection holds, and the survey as reported does not settle it. The leaders were only a small subset of respondents [5], and Business Insider's account does not give their number. The restructuring comparison [11] is firmer ground, because it records what leaders did to their organisations. It is still a correlation. It does not show whether the restructuring came before the growth or was paid for by it.
The trade-off is between deep specialists and people who work across functions. Beaudin said most organisations will need fewer narrow specialists and more orchestrators who can manage across marketing functions [12]. At Wix, CMO Omer Shai is staffing up with "full-stack marketers" in place of titles such as "content writer" and "product writer" [13]. One CMO told Bain that teams of five to 10 people now produce what was typically handled by up to 50 [14]. That is a five- to tenfold compression [2], on one executive's account. Beaudin said some marketers are having to make tough decisions about the size of their teams [15]. Those decisions are being made while marketing job postings sit 25% below pre-pandemic levels, according to Indeed, which found them falling faster than in almost any other white-collar sector over five years [16].
In my view the timing is the harder part of the decision. A reorganisation costs money and people in the quarter it happens. It also closes off the option of keeping specialists on while the evidence firms up. The payoff Bain expects comes later. "We are optimistic that we will see more organizations seeing value in the next year," Beaudin said [17], adding that many companies' transformations remain "work in progress" [19].
What to watch
- Whether Bain discloses how many respondents qualified as leaders, and whether the restructuring gap holds among companies growing at similar rates.
- Whether more marketing organisations report significant AI impact within the next year, the window Beaudin gave.
- Whether Indeed's count of marketing postings keeps falling as more teams restructure around AI.