
The gap in AI tool performance
How are AI tools actually performing? Marketers report that they're still unclear on if their tools are actually delivering.
Analysis
What the numbers actually mean.
The barrier is paralysis (not skepticism)
Nearly half of marketers are overwhelmed by options, and another 41% can't get past implementation. The competitive window is open, but most teams are stuck at the starting line. Ed Gandia's uncomplicated approach (pick one task you do regularly, find one prompt that makes it 30% faster, and build from there).
74% don't know if their AI tools are working. Rather than a technology problem, it's lack of clarity.
When you can't measure performance, you can't improve it, and you definitely can't justify more investment. See how one marketer solved this by centralizing campaign data into a single automated system, saving 5–10 hours a week and finally being able to see what was working.
Only 6% say AI is overdelivering.
The hype and the reality have never been further apart. The teams closing that gap aren't using more tools; they're using fewer, better-integrated ones that actually connect to outcomes.
Subscribe to the newsletter to be alerted when new tools drop
Related
More data from the AI Lab.


