CONCEPT
The Optimization Monoculture
The first of three candidate basins for the AI reorganization — maximum output, minimum input, structurally shallow, catastrophically fragile.
The optimization monoculture is the basin of attraction toward which competitive dynamics push the AI transition by default. Organizations converge on a single model of AI-augmented work: small teams or individual operators directing AI tools toward continuous production of deliverables, evaluated by volume and speed metrics, operating without the boundaries or institutional structures that would preserve space for depth. The configuration is self-reinforcing through market pressure and represents the poverty trap at systemic scale — productive by its own metrics, trapped in a low-complexity state that cannot absorb the next disturbance.
In The You On AI Field Guide
The competitive mechanism is straightforward. Organizations adopting the monoculture produce more output, faster, at lower cost. Organizations that resist — maintaining larger teams, investing in mentoring and judgment development — are outcompeted on the metrics the market uses to allocate capital. The pressure drives convergence, and convergence eliminates the diversity that resilience requires.
The human experience within the monoculture is the experience documented by the Berkeley workplace researchers carried to its logical conclusion: continuous intensification, task