AI in PracticeSep 3, 2026watch
Meta’s Hatch rollout shows employee AI adoption needs trust, not token counts
Meta pushing its Hatch agent internally while easing away from token-count pressure is a useful correction in the enterprise AI race. Usage metrics can make AI adoption look active, but they do not prove that workers are doing better work or trusting the system.
Why it matters: The larger lesson is that AI adoption cannot be managed like a dashboard contest. If employees feel measured by how much AI they consume, they may optimize for visible usage instead of real output. Serious companies will measure impact, not token burn.