100 Directors, VPs, and Heads of Marketing at mid-market and enterprise SaaS companies on what they actually do with AI, what's working, what isn't, and what nobody's writing about.
Conducted via Wynter's panel of 80,000+ verified B2B professionals. Results in under 48 hours.
Run a study like this →We surveyed 100 Directors, VPs, and Heads of Marketing at B2B SaaS companies to find out what they actually do with AI, beyond conference keynotes and LinkedIn hot takes. The findings cut against both the doomer and booster narratives. The cuts have already happened, but most don't look like cuts. Senior marketers feel safe while quietly cutting the seat below them. Shadow AI is the default operating model. Most companies bought licenses and called it a strategy. And leadership is bimodal: half thinks AI is magic, the other half is moving too slow. The common thread: leaders aren't using AI themselves.
47% of B2B companies have eliminated, reduced, or stopped backfilling marketing roles due to AI in the last 12 months. Only 7% had visible team shrinkage. The other 40% happened through attrition and unfilled reqs. As one respondent put it: most leaders don't even call this an AI decision. They call it "we got more efficient." Same outcome, fewer headlines. Mid-market (52%) is cutting harder than enterprise (40%).
94% of marketing leaders think their own role survives the next 24 months. 60% name content and copywriting as the role getting cut. 20% explicitly name junior and entry-level positions. One Sr Director of PMM at an enterprise SaaS company: "My PMM team are nearly all Directors. The execution is much easier with AI, so I just need senior folks who can build trust." The job isn't getting eliminated. The path to the job is.
41% of marketers openly admit using personal accounts to bypass corporate AI restrictions. 90% of their companies have at least partial restrictions in place. One Director of PMM at a mid-market SaaS company: "We are imposed to use Copilot, and because it's crap we pretty much all use the paid version of Claude. We get what we need from it and export our work." You can't police this. Marketers will pay for Claude personally before they wait six months for IT to evaluate it.
53% of companies say AI hasn't delivered ROI. The 23% who got ROI share a consistent playbook: strategy first, tight procurement, start with the stuck backlog, actually build the workflows. Claude at $25 per seat is essentially free for any B2B company. The tool isn't the bottleneck. The bottleneck is the implementation work. As one Director of PMM put it: "AI is just an accelerant of your strategy. Garbage in, garbage out."
22% of marketers say leadership thinks AI is magic. 15% say leadership is too slow. Only 14% say leadership has a realistic read. The unifying pattern across both camps: leaders aren't using AI themselves. One Head of PMM at an enterprise SaaS company: "Everyone is using AI and we need to move way faster. Our competitive moats will wither away." If you lead marketing and you're not personally building with AI, you're guessing. Four hours shipping something real beats any vendor pitch.
26-page PDF with all 10 questions, charts, verbatim quotes, plus three unreported workplace shifts: surveillance-based AI mandates, the erosion of job satisfaction among heavy AI users, and the normalization of a two-tier AI stack.
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All responses were collected via Wynter's Target Customer Survey product. We asked 10 questions designed to surface what marketing leaders actually do with AI rather than what they say in conference keynotes. Four were structured multiple-choice; six were open-ended. The focus was behavior, not opinion: "Has your company eliminated roles?" not "Do you think AI will eliminate roles?"
Sample: 100 verified B2B marketing leaders from Wynter's professional research panel, all Directors, VPs, or Heads of Marketing at mid-market (200-999 employees, n=58) or enterprise (1,000+ employees, n=42) SaaS companies. Job titles skewed toward Product Marketing, with a meaningful subset of Brand, Demand Gen, and CMO-track leaders. Survey ran May 18-22, 2026. All data is self-reported. Thematic coding of open-ended responses with explicit attention to disconfirming evidence.
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