AI Adoption Is Broad. Commercial Impact Is Still Narrow.

94% of Enterprise Marketing Teams Aren't Truly Agentic

Almost every enterprise marketing team says they've adopted AI. Barely any of them are running it agentically. Across 201 enterprise marketing leaders surveyed by LXA and Intent HQ, only 6% are operating agentically. Only 18% report measurable outcomes in revenue, retention, or margin.

That's not a rounding error. That's most of the market getting AI wrong in the same specific way.

Everyone's Faster. Almost No One's Richer for It 

The report's core finding is blunt: most teams are still anchored to productivity gains, faster content, and lower cost per task, rather than commercial outcomes. Speed went up. Revenue impact stayed flat for the vast majority.



It's a familiar pattern in enterprise tech adoption, but an uncomfortable one to sit with when the tool in question is supposed to be transformative.

Why this isn't a tooling problem

The report's central argument is that the 6%-vs-94% split isn't about which platforms teams bought or how much they spent. It's architectural, a function of how signal, intelligence, decisioning, execution, and governance are structured underneath the AI, not the AI itself. Teams chasing impact by adding more tools, without addressing that structure, are optimizing the wrong layer.

The report introduces a five-dimension maturity framework built to diagnose exactly where that structural gap sits for a given organization, and it's built from the same 201-leader dataset behind these numbers.

Read the full report - A Structural Blueprint for Architecting Agentic Marketing at Enterprise Scale