• by Ray Schultz , Columnist, 3 hours ago

Most B2B brands have adapted or are rolling out Agentic AI. And they think they are pretty good at it despite certain hurdles, judging by The 2026 State of Agentic AI in B2B GTM, a study from Revsure, conducted by Ascend2. 

Of the companies surveyed, 58% rate their go-to-market (GTM) execution as efficient, and 37% as somewhat so. But 47% say lead and data quality are primary barriers, and 47% cite data quality and unification gaps.

Moreover, 36% struggle with sales follow-up consistency. And 26% feel content and asset operations as a drag on performance. 

The question now confronting B2B leaders is no longer ”Can AI analyze what’s happening?” 

Instead, it is becoming, “Can AI act on what it understands?,” the study states.  

True autonomy is still on the horizon, it continues.  

Among B2B companies,  26% are in early experimentation and 29% are plotting multiple use cases. In addition, 25% have embedded AI in workflows and 20% are fully advanced.

Yet these barriers stand in the way of broader agentic AI adoption:

• Security and privacy concerns—54% 
• Accuracy and reliability questions—47%
• Data integration challenges—44% 
• Lack of in-house expertise—32%
• Change management friction—31% 

Despite all that governance, maturity is increasing: 

• Enforce strict AI policies—38%
• Apply moderate governance—49% 
• Maintain minimal oversight—10%

Here are a few other positive signs:

• 96% believe AI agents with full-funnel context would significantly improve execution.
• 97% are confident they can responsibly scale AI. 
• 90% feel Agentic AI will be critical to meeting GTM goals within two years. 

Ascend2 surveyed 306 B2B companies in the United States and the U.K. with $10M/£8M+ in revenue in October 2025. The respondents work in marketing, sales, revops, GTM, and demand generation, with a job level of director+.