When Omaha employees won't use the AI tools you bought

Common questions from Omaha leaders

Is this resistance, or is it exhaustion?

Mostly exhaustion. Gartner's research found 73% of HR leaders report employees experiencing change fatigue, and 74% say managers aren't equipped to lead change. What looks like resistance often turns out to be people quietly opting out of one more rollout layered on top of the last three. The fix isn't pressure — it's reducing change load and equipping managers.

Why are employees gaming the metrics we set?

Because the metrics are gameable and don't track value. Token spend, login frequency, and 'used AI today' counts get padded the moment they're tied to evaluations. Replace activity metrics with outcome metrics: cycle-time reduction, error reduction, customer outcomes. The work itself becomes the proof.

Our managers don't know how to lead this. What do we do?

Equip them before rollout, not after. Gartner's 2026 CHRO research found organizations that adapt change plans based on employee feedback are 4x more likely to achieve change success. That requires managers who can hear feedback and adjust — which means giving managers training, language, and authority to slow things down when needed.

Do approved tool lists help?

Yes — and most companies don't have one. Express-Harris found only 36% of companies provide a list of approved or preferred AI tools, and 83% of employees say they want formal training. The combination of clarity (what's approved) and skill (training that fits their role) cuts most of the visible resistance.