AI Agents Expected to Handle a Third of Marketing Decisions Within 2 Years
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A recent report by Kana analyzed the adoption of AI systems. Seventy percent of respondents already run custom AI agents handling real marketing tasks in production. Only 3% report no marketing AI use at all. The question executives are wrestling with is no longer adoption, it’s whether they can scale and govern what is already running.
Across the full sample, 40% say the Chief AI Officer should own agentic marketing strategy and execution. AI leaders strongly agree, with 52% pointing to the Chief AI Officer (CAIO). Marketing executives are the exception: they are the only cohort that leans toward their own function and toward shared ownership. Until enterprises resolve who is accountable, agentic marketing initiatives risk stalling in the gap between teams that each assume someone else owns the outcome.
Seventy-six percent of leaders say their governance model is ready for supervised AI decisions, and 86% rate their data infrastructure as ready. But those same leaders name data governance readiness and data quality/hygiene as their second and third biggest obstacles to agentic marketing progress. The gap between self-assessed readiness and production reality is the most telling tension in the data.
According to the report, 82% of respondents expect AI agents to handle at least a third of routine marketing decisions within two years; 46% expect a majority of those decisions to be handled by AI agents. Yet the overwhelming driver of investment is competitive anxiety rather than operational readiness: 69% of respondents say concern about falling behind peers outweighs every other risk, including security and data privacy.
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