AI Amplifies what's already there. That's the problem.
Every organization we surveyed is using AI. Not most… every one. Yet only 12% describe it as deeply integrated into daily workflows.
What's standing between adoption and transformation isn't budget or technology. It's the underlying foundation: inconsistent messaging, siloed systems, and a training gap that keeps AI tools from reaching the people who need them most.
When AI enters a fragmented environment, it doesn't fix the problem. It scales it.
10% of organizations have RevOps in primary ownership of AI strategy despite it being the function built to hold that role.
THE PERCEPTION GAP
Leadership thinks it's working. The people doing the work disagree.
The sharpest finding in the entire survey isn't a single number — it's the distance between how leaders and individual contributors experience the same organization.
Executives report centralized enablement. Sales Individual Contributors experience fragmentation. Executives see integrated systems. Sales ICs live in the gaps. Executives are confident in content personalization. Sales ICs aren't.
This pattern (consistent across every dimension of the survey) is what makes the perception gap the most actionable story in this data. You can't fix a problem you don't know exists.
WHAT EXECUTIVES REPORT
WHAT SALES ICs REPORT
74% say enablement is fully centralized
31% of ICs say the same
52% say systems are fully integrated with AI
6% of sales ICs agree
32% confident in content personalization for buyers
3% of sales ICs say they're confident
42% use AI for sales call coaching
6% of sales ICs report the same
WHAT'S HOLDING TEAMS BACK
The #1 barrier to AI adoption isn't cost or skepticism. It's training.
When asked what's limiting their AI adoption, revenue leaders weren't pointing at budgets or internal politics. They were pointing at a skills gap.
63% cite lack of training or internal expertise as their top concern — outpacing cost (53%), privacy concerns (40%), and integration challenges (33%). Organizational resistance? Just 12%.
The will is there. The capability isn't being built fast enough.
BARRIER
% CITING AS A CONCERN
Lack of training or internal expertise
63%
Cost or unclear ROI
53%
Data privacy & security
40%
Integration challenges with existing systems
33%
Organizational resistance or skepticism
12%
The CRM Data Confidence Finding
Buried beneath the training gap is a data quality story that matters just as much.
27
%
27% of all respondents are very confident in their CRM and AI tool data.
40
%
40% of CRM users say the same, a 13-point gap that previews what differentiated AI performance looks like in practice.
Organizations that treat data governance as a prerequisite to AI deployment (not a parallel workstream) will compound their advantage. Those that don't will build sophisticated workflows on unreliable foundations.
AI is creating content. But is it connecting with buyers?
93% of respondents say their enablement content is at least partially AI-assisted. Adoption isn't the issue.
Confidence is. Despite widespread AI use in content creation, only 21% of respondents say they're very confident that content is personalized to their buyers' needs and journey stages.
And that confidence gap follows the same top-down pattern. 35% of RevOps leaders and 32% of sales leaders express high confidence. Just 3% of sales individual contributors feel the same — the people actually deploying content in buyer conversations.
45% report their AI strategy has significantly improved the buyer experience. Another 40% say 'some improvement, but inconsistent.'
WHAT GETS MEASURED
Most teams are measuring what they close. Not how buyers feel about the process.
Revenue leaders are overwhelmingly focused on pipeline and conversion metrics: lead-to-opportunity conversion rate (59%), win rate (50%), and sales cycle length (49%) are the top three tracked metrics.
Buyer satisfaction? Tracked by just 12% of respondents.
This is a measurement gap hiding a strategic one. If AI is being used to personalize the buyer journey but buyer satisfaction isn't being tracked, there's no feedback loop. No way to know if AI is actually improving the experience — or simply accelerating a process that was already falling short.
GET THE FULL REPORT!
This page covers the major stories. The full report goes further — with deeper analysis, role-by-role breakdowns, and five prioritized recommendations for revenue leaders ready to move from AI experimentation to AI-driven competitive advantage.
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