The Cinderella “Glass Slipper” Effect

Summary

Summarized wtih ChatGPT

Today’s post is one of many insights and learnings from the State of AI report, powered by OpenRouter, an AI inference platform providing access to hundreds of models and real-world usage trends across the AI ecosystem.

Highlights from Article

In essence, when an AI model debuts with a clear technical edge, it has a brief window to hook a foundational cohort. In that window, which may only last until the next big model launch, the first users to “try on” the model either find a fit or they don’t. If they do, they become power users who keep the product alive (and keep usage high) long after the hype moves on. If they don’t… well, then every cohort after looks the same: fleeting and fickle.

• AI products change quick but if it works well on day one, it gets sticker. Cohorts start strong and then dwindle slower for these.

Yet, as we’ve seen, when an AI product truly meets a deep need, it creates fans, not tourists. Those early fans stick around through thick and thin, providing a foundation upon which entire businesses can be built.

All material owns to the authors, of course. If I’m highlighting or writing notes on this, I mostly likely recommend reading the original article, of course.

See other recent things I’ve read here.