Kimi K3 launched on a Wednesday. By Friday, Moonshot AI stopped accepting new subscribers because demand exceeded compute capacity. Existing users kept access; new users got a closed door.
As a product designer, this is the scenario I plan for: the product works, the marketing lands, the demand is real-and the infrastructure cannot keep up. What does the user experience look like on that day?
The onboarding failure mode
Most AI product onboarding flows assume unlimited capacity: sign up, get access, start using. When capacity runs out, the flow breaks. Users who signed up expecting immediate access now face a waitlist, a message, or silence.
K3's response was clear: stop new subscriptions, communicate the reason, promise reopening. That is operationally sound. But from a UX perspective, the user who clicked "subscribe" and got "unavailable" had a broken expectation.
