The State of AI in RevOps: 2026 Report

Discover what’s driving the next evolution of RevOps, insights from 424 RevOps professionals captured in the State of AI in RevOps Report, created in partnership with UserEvidence.

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Why 91% of RevOps leaders say AI is worth the investment, but only AI-native systems drive real transformation.
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How bolt-on AI can hurt productivity and why poor implementation sets teams back.
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The top priorities for 2026: speed, measurement, and automation over cost.
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The data behind a new RevOps reality, where purpose-built AI becomes the standard.

Lead the AI shift in RevOps with insights from 400+ industry experts

Notion logo.
Black stylized M logo on a rounded yellow square background.
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Sales Comp 25 logo with a black font and a green circular marquee design to the right.
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MoEngage company logo in dark blue text.
Fivetran company logo with blue stylized 'F' icon and text.
Logo of SalesComp 25 with stylized blue and navy blue text.
Notion logo.
Black stylized M logo on a rounded yellow square background.
Abstract logo consisting of interwoven blue, green, and teal triangular shapes forming a stylized letter A.
Popmenu logo featuring a speech bubble with horizontal lines followed by the word popmenu in lowercase red letters.
Wolters Kluwer logo with a colorful circular icon composed of pixel-like squares.
Sales Comp 25 logo with a black font and a green circular marquee design to the right.
Red fedora hat with a black band on a black background.
MoEngage company logo in dark blue text.
Fivetran company logo with blue stylized 'F' icon and text.
Logo of SalesComp 25 with stylized blue and navy blue text.

AI has become a non-negotiable part of modern revenue operations, but not all AI delivers the same results.


The findings paint a clear picture of where RevOps is headed. AI-native teams are not just automating tasks; they’re reshaping strategy, decision-making, and measurement itself. This report breaks down what high-performing RevOps teams are doing differently and offers a practical roadmap for leading your own AI transformation.


The findings reveal a clear divide: teams using AI-native platforms are achieving breakthrough results, while those relying on bolt-on AI features are often falling behind.

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