[kajolshah_bt]

I see this split clearly in real products: some users treat AI like a tool to support their workflow, others treat it like a replacement for thinking. The first group uses AI to reduce repetitive work and interprets results critically; the second group abandons it when outcomes aren’t perfect.

In practice, the users who end up valuing AI are the ones who see it as an assistant, not an oracle. That distinction matters because it shapes how you design UI, fallback flows, and trust signals. If the interface assumes perfect output, retention drops; if it assumes collaboration with the user, retention improves.