
Why AI adoption stalls
When there are too many tools to choose between, marketers are freezing up at the starting line.
Analysis
What the numbers actually mean.
Marketers are drowning in options before they begin to use one tool.
45% of marketers say being overwhelmed by too many tools is what's stalling their AI adoption, and 41% say the ones they do find are too hard to learn and implement. When evaluating a tool takes longer than using it, most people stop evaluating altogether.
Output quality concerns and ROI gaps are symptoms of the same underlying problem.
39% of marketers don't trust what AI produces, and 27% can't prove it's working. Both numbers point to the same root cause: marketers who haven't used AI consistently enough to develop judgment about it. Trust in AI output, much like confidence, tends to follow use rather than precede it.
The path forward is narrowing the first decision, not expanding the options.
McKinsey's 2025 State of AI research found that the organizations seeing real impact aren't using more tools, they're redesigning workflows around fewer, better ones. Committing to one use case and building from there is what actually moves the needle.
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Related
More data from the AI Lab.

