98% of organizations find AI valuable. So why is adoption still failing?

What Prosci’s latest AI research means for change managers

Prosci just released findings from one of the most comprehensive studies on enterprise AI adoption to date — 1,107 participants across executives, team leaders, and frontline workers.

The headline? 98% of organizations find AI valuable. 94% say it’s easy to use.

And yet, most implementations are still struggling.

So what separates the organizations getting real results from those stuck in pilot mode?

Prosci identified four conditions that consistently differentiate successful AI adoptions:

1. Leadership and bold AI vision Organizations taking large, transformative approaches to AI significantly outperform those taking cautious, incremental steps. Small steps during a transformational shift aren’t safe — they’re a liability.

2. Change management excellence The technology is rarely the problem. How organizations manage the human side of the transformation is what determines whether AI actually lands. That means structured change management, adaptive governance, and actively encouraging experimentation at every level.

3. Transparency and trust Executive trust in AI sits at +1.09. Frontline worker trust? +0.33. That gap doesn’t close on its own — it requires deliberate communication, role-specific engagement, and visible progress.

4. Democratized AI expertise The organizations winning at AI adoption aren’t concentrating knowledge at the top. They’re spreading it broadly, building role-specific capability, and creating support systems that help people actually use what’s been rolled out.

This is exactly the work change managers are built to do.

The challenge is doing it at scale — across multiple initiatives, competing timelines, and teams that are already stretched.

That’s where ChangePlan comes in. A single view of all your change activity, so you can sequence AI rollouts based on real capacity, surface risks early, and show leadership exactly where adoption stands.