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Research Report · 2026

AI is already here. But adoption alone does not equal transformation.

Revenue Enablement in the AI Era.

How sales, marketing, and RevOps leaders are adopting AI to drive alignment, efficiency, and growth — and where the gaps remain.

AI Use
100% Say their organization is using AI
12% Describe AI as deeply integrated into daily workflows
The headline numbers

Five findings that reframe the conversation.

100%

Of organizations are actively using or piloting AI in sales and marketing.

64%

Cite lack of consistent messaging and playbooks as a top challenge.

52%

Of executives say systems are fully integrated — only 6% of ICs agree.

90%

Report AI has increased team efficiency, but most call it incremental.

63%

Say lack of training is their #1 barrier to AI adoption.

AI amplifies what's already there.

Where messaging is inconsistent, AI scales that inconsistency. Where systems are siloed, AI insights get stranded.

The core tension

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.

When AI enters a fragmented environment, it doesn't fix the problem. It scales it.

The perception gap

Leadership thinks it's working. The people doing the work disagree.

The sharpest finding in the survey isn't a single number — it's the distance between how leaders and individual contributors experience the same organization.

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 politics. They were pointing at a skills gap.

Barrier
% Citing
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%
What's Limiting AI Adoption
Lack of training or internal expertise
Data privacy and security concerns
Organizational resistance or skepticism
Integration challenges with existing systems
Cost or unclear ROI
The CRM data confidence finding

Buried beneath the training gap is a data-quality story.

It matters just as much — and it previews what differentiated AI performance looks like in practice.

27%

Of all respondents are very confident in their CRM and AI tool data.

40%

Of CRM users say the same — a 13-point gap that previews differentiated AI performance.

The people deploying content in buyer conversations have almost no confidence it's meeting buyer needs.

- One of the survey's sharpest juxtapositions
The buyer experience

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, only 21% say they're very confident that content is personalized to their buyers' needs.

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.

Download the full report

Want to see the full report?

This page covers the major stories. The full report goes further.

Deeper analysis
Role-by-role breakdowns
5 prioritized recommendations for revenue leaders ready to move from AI experimentation to AI-driven competitive advantage.
Download the Full Report

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