Hi Rafał,

The question I hear from customers about AI is changing from "Are our employees using AI?" to "Is AI actually changing how work gets done?" As Productivity Lab Manager, I felt compelled to take a look. We analyzed 120,620 workers across 1,009 organizations over 8 months to find out. The headline:

What surprised me wasn't how few got there. It's what happened once they did.

Asking AI a question isn't the same as using it to finish a task. And doing a task isn’t the same as creating a workflow around it. That's why we built the AI Adoption Maturity Model, mapping progression from simple use to full automation. Most are still in the earliest stages, so we looked at what happens when they reach Stage 3.

What Stage 3 looks like

Only 2% have made it to Stage 3. But it's growing quickly, up 36% quarter over quarter. And once workers get there, 70% remain there — without losing productivity, even while logging the shortest workday of any stage. That's why the climb is worth it.

The opportunity now is helping more people move beyond simple AI questions toward task execution and, ultimately, integrating AI into how work actually gets done.

The insights I uncover — now available in your own data

Every quarter, I manually compare AI adoption maturity against productivity across our research dataset. Now AI Insights brings that analysis to your ActivTrak data. It shows how AI is adopted, how deeply it’s a part of daily work and whether that adoption translates into measurable productivity gains.

And Work Advisor solves another challenge I know well: hunting through dashboards for answers. Now you can simply ask questions of your ActivTrak data and get instant answers. And soon, with our MCP server, you can analyze your ActivTrak data through the LLM you already use.

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