Most AI rollouts fail due to change management, not technology. Here’s what we learned changing ourselves
Ask most enterprise leaders why their AI investment hasn’t paid off, and they’ll point at the technology — the wrong model, the immature tooling, the integration that never quite landed. In our research at Atlassian’s Teamwork Lab, that’s rarely the real problem. The organizations struggling most with AI aren’t the ones with the worst tools. They’re the ones that treated a profound behavioral shift as a software deployment.
The numbers bear this out. Per our 2026 State of Teams report, 85% of knowledge workers report using AI, but only 29% have embedded it into how they work day to day. Handing someone a license changes what’s on their screen. It doesn’t change how they make decisions, coordinate with a team, or trust an output enough to act on it. Those are questions of behavior and culture, and they don’t resolve on a rollout timeline.
So the more useful question isn’t...
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