Seat Cannibalization

Seat cannibalization is the erosion of per-seat software revenue when AI agents do work that previously required additional human licenses.

As agents absorb tasks, fewer human seats are needed, undercutting vendors whose pricing depends on seat counts and pushing them toward outcome-based models.

It is a core reason the pricing of AI labor is migrating from seats to outcomes.