To truly capture the return on AI investment, we must pivot from counting tasks to measuring the wins that matter.

There is incredible energy in our workforce right now. If you look at the dashboards, the numbers are climbing. Adoption of new tools is skyrocketing, and people are moving faster than ever before.

But capability is not the same as impact.

For the last few years, we have been laser-focused on gross efficiency—how many tasks we check off, tickets we close, and code we ship. We have become excellent at volume. But in an AI-driven world, raw speed is just the baseline.

To unlock the untapped potential of our teams, we must pivot to a new metric. We need to stop asking how fast did we finish? and start asking how well did we solve it?

Turn the AI Tax Into Hidden Potential

Let’s look at the data with clear eyes. We know that AI is driving productivity—77% of employees report they are more productive today than they were a year ago. That’s a huge win.

But we’re also seeing a few growing pains. New research shows that for every 10 hours of productivity gained, we pay back about four hours in rework—correcting, clarifying, and refining AI output.

Some call this an “AI Tax.” I prefer to call it hidden potential.

Think about that. Nearly 40% of possible gains are silently lost to rework. If we can reclaim that time by focusing on quality over quantity, we don’t just get those hours back—we get the brainpower back.

We can turn that friction into flow. We just have to shift our focus from doing things fast to getting things right.

Read more on the Workday Blog here.