Marketing departments are among the fastest adopters of AI in any business function, yet the gap between using AI tools and integrating them into operational workflows remains vast. New industry research shows just 6% of marketers have fully implemented AI in their workflows, even as 95% say they would delegate tasks to AI agents given a unified platform.
The disconnect is sharpest in small and mid-sized businesses. Larger organisations typically have dedicated martech, analytics or operations teams to connect AI across planning, execution and reporting. SMB marketing teams, by contrast, often have a single lead responsible for stitching together separate tools with no systematic process behind it.
What many marketing leaders are missing is how teams can collaboratively work with AI to make processes more efficient. In SMBs, that responsibility often falls on one marketing lead’s shoulders. This person is left to piece together separate tools with no clear system behind it.
Diminishing returns
The numbers suggest the problem is getting worse, not better. McKinsey found that 94% of European marketing organisations have not moved beyond the pilot phase in their generative AI maturity. HubSpot reported that 52% of marketers say AI has made their content less effective. And the proportion of marketers who can demonstrate ROI from AI has dropped from 49% to 41% year-on-year, even as usage has increased.
Separately, Gartner research found that half of US consumers would prefer to buy from brands that do not use generative AI in consumer-facing content, raising questions about whether scaling AI-generated output without proper review processes could erode brand trust rather than build it.
The pattern across these findings is consistent: marketing teams adopted AI faster than most functions, but adoption without workflow integration is producing diminishing returns.
