The AI conversation in B2B marketing has a tone problem. It oscillates between breathless optimism and quiet anxiety, and neither version is particularly useful if you’re trying to run a marketing team.
So, we went to the source. Over the past few months, we sat down with 14 senior B2B marketing leaders across EMEA for a series of candid conversations about what AI is actually doing to their work. Here’s what’s changed, what hasn’t, what’s harder than expected, and what they’d do differently.
1. The human advantage is the lasting one
There’s a version of the AI narrative where human skills get devalued as automation expands. Our research points the other direction.
When routine execution gets automated, the premium on what can’t be automated rises. Judgement. Taste. The ability to recognise good work and bad work. The relationships that don’t fit in a workflow. These things become more valuable precisely because everything else gets cheaper to produce.
Two archetypes are emerging in high-performing marketing teams: systems builders, who design and orchestrate AI-enabled workflows, and tastemakers, who hold the quality bar. Both matter. Neither can be replaced by a better prompt.
The technology is available to everyone. The thinking is not.
“My advice would be don’t see AI as a threat, but as an amazing opportunity that happens maybe once a career.” — Julien Harazi, Global Head of Marketing, Keyloop
2. Start with the problem, not the tool
The leaders seeing the fastest results from AI weren’t the earliest adopters. They were the ones who mapped their operational problems first — then evaluated whether AI could address them.
The pattern among highest performers was consistent: identify the specific bottleneck, test a narrow solution, prove value, scale. At Personio, AI now handles 20–30% of repeatable manual tasks. At Keyloop, monthly business reviews that used to consume a full week now take two hours. Neither of those outcomes started with a question about AI. They started with a question about where time was being lost.
The trap is the opposite approach: broad AI experimentation without clear objectives. It generates activity. It rarely generates results.
“Don’t think about AI at all. Sit down and map out your everyday problems before trying to shoehorn AI everywhere.” — Amir Jirbandey, Personio
3. Marketing 3.0: from specialist to systems thinker
For two decades, digital marketing rewarded deep expertise in narrow disciplines. SEO specialists. Paid media specialists. Marketing operations specialists. AI is reversing that trajectory.
The new premium is on people who understand how everything connects — equally comfortable at the strategic and execution level, able to move between them without losing the thread. The “full-stack marketer” is less a job title than a capability profile that’s become genuinely valuable.
Our research surfaced a telling data point: leaders rated their own AI readiness at 8.0 out of 10, but their team’s readiness at just 6.7. That 1.3-point gap doesn’t close through tool procurement. It requires sustained, practical investment in people.
What does that investment look like? Five of our 14 leaders independently named the same trait when describing who’s thriving in their teams. Not technical aptitude. Not AI literacy. Curiosity. None of them were prompted to say it.
“We need systems builders and tastemakers — people who understand the nuance of marketing output.” — Kate Cox, CMO, Guesty
4. Marketing and sales: the future is signal alignment
Here’s an interesting tension from the research. Twelve of our 14 leaders reported strong alignment with sales on what constitutes a qualified opportunity. But acting on intent data as a unified front scored the lowest of any area in our survey — just 5.7 out of 10.
Alignment in principle. Misalignment in practice.
The leaders with the biggest commercial outcomes were treating intent data as shared intelligence, not a marketing metric. That distinction matters. When both teams operate from the same signals and agree on what those signals mean the gap between “marketing qualified” and “sales ready” starts to close.
Rebecca Angus at GBG made this concrete: an ABM programme built on intent data grew pipeline from £1.3m to £8.5m. A single 2.5-week cross-sell campaign generated 10 qualified meetings. The data was available to everyone. The willingness to act on it together was the differentiator.
“Attribution is actually a handshake between marketing and sales.” — Linda Rønningen, Group Head of Integrated Campaigns, Azets
5. Content quality now carries higher stakes
When every competitor can produce high volumes of competent content, volume stops being a competitive advantage. The bar for standing out rises, not falls.
The bottleneck in content production has moved. It’s no longer creation — it’s judgement and review. Teams staffed for execution speed are discovering they need to staff for editorial quality. The leaders seeing the best results are producing fewer assets, with more care, and measuring by conversion rather than output.
There’s also a credibility dimension that came through clearly in our conversations. How you market is increasingly read as a signal of how you deliver.
“If your marketing is mediocre, why would prospects expect your deliverables to be any better?” — Erin Pearson, VP Marketing, Evalueserve
6. From SEO to generative engine visibility
Buyer research behaviour is shifting. Fewer prospects begin their journey on Google. More are using ChatGPT, Gemini, or other AI tools to evaluate shortlists — and visibility in those results doesn’t follow the same rules as search ranking.
The temptation is to declare SEO dead and pivot entirely to AI-optimised content strategies. Our research argues against it. The data on what performs in AI-generated results points to longer-form, comprehensive content — which happens to align closely with what good SEO has always rewarded. The fundamentals haven’t changed as much as the surface appearance suggests.
The principle that holds across both channels: if a human struggles to grasp your value proposition, an LLM will have the same problem. Clarity isn’t a new requirement. It’s just more consequential now.
“Don’t let go of the things that made you perform before.” — Julia Cames, Interim CMO, Hays
7. Change management is the real work
Most leaders we spoke to underestimated the people dimension of AI transformation. The tools, it turns out, are not the hard part.
The approach that worked consistently: find internal champions, let them demonstrate results, and use peer evidence to build momentum across the organisation. Top-down clarity on expectations combined with bottom-up freedom to experiment outperformed either approach alone.
There’s also a gap that surfaced repeatedly — between how organisations position AI externally and how they adopt it internally. Leaders who closed that gap tended to do it the same way: by being honest about where they were.
“The technology itself represents perhaps 20% of the transformation; the remaining 80% depends on people.” — Pia Hämäri, Head of Marketing, Nordics, Futurice
Three things the research points to
Taken together, the findings suggest three priorities for marketing leaders navigating this period.
Close the skills gap deliberately. The gap between leader AI readiness (8.0/10) and team AI readiness (6.7/10) isn’t going to close on its own. It requires sustained, practical investment — prompt engineering, workflow design, quality assessment — built into how teams operate, not delivered as one-off training.
Turn intent data into coordinated action. Signal alignment scored 5.7/10 — the lowest area in our research, and the one with the most direct line to commercial impact. The intelligence is available. The infrastructure to act on it quickly, as a unified sales and marketing function, is where the gap sits.
Run both tracks. We don’t yet know which current marketing practices will remain effective as AI continues to develop. Abandoning what works in favour of what’s new is as risky as refusing to experiment at all. The leaders doing this well aren’t choosing between the two. They’re running them in parallel.
The full findings from our interview series are published in the Market Voice Report — primary research drawn from conversations with 14 senior B2B marketing leaders across EMEA.
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