Research Partner
UserEvidence
424 RevOps pros
US & UK · 2026
Everyone bought AI.
Few are getting the gains.
We surveyed 424 RevOps leaders with UserEvidence to measure the gap between AI-native teams and everyone bolting AI onto legacy stacks — and what separates transformational results from incremental ones.
Six key findings
What separates AI-native RevOps from everyone else.
Six patterns emerged from 424 responses — each marking a stage in the journey from bolt-on adoption to AI-native leadership. The full report breaks every finding down by company size, industry, and AI maturity.
01
The AI commitment gap
91%
say AI was worth the investment
02
The bolt-on trap
63%
of AI-native teams see 20%+ productivity gains
03
The awareness paradox
2x
more likely to fear falling behind
04
The automation gap
13%
of AI-native teams have full automation
05
Speed first, cost last
88%
rank speed or insight a top-3 priority
06
From support to strategy
15x
more likely to hold a strategic role
Methodology
How this research was done.
Conducted by UserEvidence, an independent research firm, on behalf of Everstage. We're showing our work.
Research partner
UserEvidence
Respondents
424 RevOps pros
Geography
US (69%) · UK (31%)
Company size
200–10,000+ staff
What RevOps leaders are saying
Remember — this is the worst AI you'll ever use. It is only going to get better from here. The people willing to embrace it now are those who are going to get ahead.
A very lean RevOps team could manage very large organizations simply because they're employing agentic AI. RevOps will become a different skill set — it will require people who understand what the business is doing and why, not just how to change a flow in Salesforce.
I think AI is comparable to the invention of the internet. The few people who were able to really push hard and adopt early — we're talking Google, AOL — there's so much value in early adoption.
RevOps has outgrown its role as an operational layer. It's now the intelligence core of every go-to-market engine. The best teams aren't using AI to replace effort — they're using it to multiply clarity, speed, and precision.
