Seventy-five percent of marketing leaders say AI is more critical to their strategy than ever. Only 19% of consumers feel excited about it. If that gap doesn't make you pause mid-dashboard-scroll, it should.
According to research from HubSpot and SurveyMonkey surveying over 1,800 business leaders and 15,000 consumers across seven global markets, we're staring at what might be the most consequential disconnect in modern marketing: the people building AI-powered experiences are far more enthusiastic about them than the people receiving them.
Here's the uncomfortable truth: 70% of consumers notice AI in brand interactions, but fewer than one in four say they like what they see. And 28% have stopped purchasing from a brand entirely because of its use of AI. That's not a minor friction point. That's a revenue leak.
The Enthusiasm Gap
Marketing teams have gone all-in on AI. Salesforce's State of Marketing 2026 report shows 87% of marketers now use generative AI in at least one workflow, up from 51% just two years ago. The average marketer saves 6.1 hours per week. Content production is faster. Personalization scales beautifully. The dashboards look fantastic.
But here's where it gets interesting: HubSpot's 2026 State of Marketing Report notes that today, more content is generated by AI than by humans. But it's mostly average. Kieran Flanagan, HubSpot's SVP of Marketing, AI, and GTM, puts it bluntly:
Consumers seek human-created content, and will tune out brand and AI-generated content.
Kieran Flanagan
The efficiency gains are real. The trust gains? Not so much.
Disclosure Isn't Optional Anymore
The HubSpot and SurveyMonkey research reveals something marketers need to internalize: 84% of consumers say disclosure of AI use is important, with 60% calling it very important. Germany shows the highest skepticism at 47%, while France expresses the most concern at 44%.
This isn't about whether AI is good or bad. It's about whether your audience feels like they're being manipulated or informed. When 82% of consumers prefer human support even when AI delivers the same outcome in the same timeframe, you're not dealing with a technology problem. You're dealing with a trust problem.
And trust, as any B2B marketer knows, is the currency that actually closes deals.
The Messy Middle Just Got Messier
Google's research on the "messy middle" describes the chaotic loop between trigger and purchase where buyers bounce between exploration and evaluation, sometimes repeatedly. B2B buying committees make this even more complex, with multiple stakeholders, longer cycles, and higher stakes.
Now layer AI into that equation. As Dan Earle of Arketi Group writes in Demand Gen Report, AI is becoming responsible for how buyers research, but not why they choose. That distinction matters enormously. AI can accelerate discovery, surface relevant content, and personalize touchpoints. But it can't replace the human judgment buyers rely on when decisions carry real consequences.
The 2025 Edelman Trust Barometer found that just 32% of U.S. respondents trust AI. In B2B, where purchase decisions often involve six-figure contracts and career-defining choices, that skepticism compounds.
What Actually Works
Spencer Stuart's survey of top marketers found that more than three-quarters have started piloting AI projects, and nearly half have begun scaling proven use cases. But here's the telling detail: no CMOs believe they have fully transformed their function. AI adoption has been a workflow shift, not a business model shift.
The marketers seeing real results aren't the ones automating everything. They're the ones using AI to enhance human expertise rather than replace it. The McKinsey Global AI Survey 2025 found that high performers use AI to drive growth and innovation, not just efficiency. They're redesigning workflows, not just speeding them up.
Three principles are emerging from the brands getting this right:
Transparency as strategy. If you're using AI, say so. The brands building trust aren't hiding their AI use; they're explaining it. When buyers understand how AI is helping them (better recommendations, faster responses, more relevant content), skepticism often converts to appreciation.
Human judgment at decision points. AI can handle the exploration phase brilliantly. But when buyers enter evaluation mode, when they're comparing final options and seeking reassurance, human expertise becomes the differentiator. The brands winning in the messy middle are the ones that know when to hand off from algorithm to human.
Quality over quantity. The temptation with AI is to produce more. More content, more touchpoints, more personalization. But HubSpot's data suggests audiences are migrating to gated spaces that AI hasn't overrun, like newsletters, podcasts, and YouTube. The signal is clear: buyers want fewer, better interactions, not more automated ones.
The Real ROI Question
AI content drafting delivers 3.2x ROI on average, according to McKinsey's Global AI Survey. Personalization engines deliver 2.7x. Those numbers are real, and they matter.
But ROI calculations that ignore trust erosion are incomplete. If 28% of consumers have stopped purchasing from brands because of AI use, what's the actual net impact? If your AI-powered content scales beautifully but reads as mostly average, what's the long-term cost to brand equity?
HubSpot's 2026 report frames it well: AI is now table stakes. In 2026, the gap isn't who is using AI; it's how well they're using it.
Where This Leaves Us
Marketing is like dating, remember? You don't propose on the first ad impression. And you definitely don't send a robot to do it.
The data is unambiguous: B2B buyers trust AI less than marketers think. The gap between marketer enthusiasm and buyer confidence isn't closing; it's widening. And the brands that treat AI as a trust-building tool rather than just an efficiency tool will be the ones that win.
Spencer Stuart's research suggests 2026 is a tipping point for CMOs, with CEOs and CFOs demanding AI-driven cost savings and efficiency boosts. The pressure to automate is real. But so is the pressure to maintain the human connections that actually close deals.
The marketers who figure out that balance won't just survive the AI era. They'll define it.
