The week's three picks are measuring the same structural shift at different layers: the binding constraint in AI value capture has moved up the stack, and the money is going to whoever controls the layer above raw capability. OpenAI's $4B services arm buys implementation infrastructure because the model doesn't close enterprise deals on its own. OpenEvidence's $12B repricing, from $1B in 15 months, happened because licensed clinical corpus access is rarer and harder to replicate than frontier model performance. Gurley's Cisco data shows what the equilibrium looks like once the dust settles: the leader holds margin while the field below compresses, not gradually but abruptly. The daily notes traced this pattern across the week in workforce, supply chain, and cognition, each case showing the same capacity transfer, costs deferred until recalibration stops being cheap. What the week opens is a ranking problem, not a capability problem: the labs, the professional-services firms, and the vertical AI players are all now competing for position in a hierarchy where the top slot holds and the rest compress, and most of them are still optimizing for the layer that's already commoditizing.