The outage story has a second layer: explanation. When AI assistants become part of business operations, users need more than a status dot after service returns. They need to understand whether the failure was routing, capacity, dependency, deployment, or something deeper.
That transparency gap is now a product issue. AI companies sell trust through capability, but operational trust comes from clear incidents, timelines, mitigations, and proof that the same failure mode will not quietly return next week.
The companies that handle postmortems well will have an advantage with serious customers. The model may be brilliant, but the platform around it has to behave like critical software.
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