How Ready Are Media Teams for Agentic AI?
Skai surveyed 332 paid media practitioners across retail, media, CPG, tech, and other sectors to find out where agentic readiness actually stands in 2026.
Top Findings








Key Takeaways
Media teams average barely into the Exploring tier. The ambition is real; the build-out isn’t.
Willingness leads, capability lags. Attitude is strong; data, systems, assets, and team design are not.
Foundations come first, and they cap how far the flashier agent use cases can go.
Leaders rate their teams as more ready than practitioners do, so reading both gives the truest picture.

How ready are media teams for agentic AI right now?
Not very. The large majority of teams sit below the Building tier, and a fully Agentic operation is vanishingly rare. The chart shows the spread.
Why aren’t media teams ready for agentic AI?
Infrastructure, not attitude. Teams are willing, but the operational layer agents need (data, systems, assets, team design) lags well behind. The dimension chart shows the split.


Where are media teams least ready?
On the dimensions agents need most: use cases, operating model, and creative assets. Most teams are still pre-Building on all three. The full breakdown is in the report.
Which teams are the most ready for agentic AI?
Readiness increases with seniority, and no surveyed industry is above the Building tier yet. The report breaks it down by role and sector.

What should marketing teams do next?
Five moves the data points to: build Foundations before Accelerators, name an owner and fund it, connect paid media data to business data, codify senior judgment, and redesign the team around agents. The full report turns these into a prioritized plan via the assessment.
Are you ready? Take the Agentic Survey to see where you stand.
FAQs



Get the full State of Agentic Readiness report
Get the full data across all nine dimensions, breakdowns by seniority and industry, verbatim quotes from actual marketers, and the complete methodology.







