In the AI era, as long as you learn slowly enough, you don’t need to learn

Prompting’s brief heyday is fading

Chinese tech site Huxiu reports that the era of "prompt engineering" — the cottage industry of tips, paid courses and step‑by‑step guides on how to talk to generative models — is already winding down. Prompting was useful when outputs were unpredictable, a bit like opening blind boxes: you could improve your odds by learning tricks and templates. But as models become more capable and conversationally fluent, users can often get good results by speaking to AI like they would to another person. Reportedly, many who paid for expensive lessons on how to 'communicate with AI' now find those hours largely redundant.

Lessons from past tech manias

The piece draws a clear line to earlier tech bubbles familiar to Western readers: the metaverse and NFTs. Remember Facebook’s rebrand to Meta and the headline sales of virtual land and Bored Ape avatars? NBA star Stephen Curry’s high‑profile purchase of a Bored Ape for roughly $180,000 was one of the signals that celebrities and retail investors were all in. It has been reported that many who bought into virtual real estate or NFT collections saw values plunge, and the episode serves as a warning: new tech trends can vaporize faster than the time it takes to learn them.

Use‑practicality over panic

What’s the takeaway for ordinary users and professionals in China’s fast‑moving AI ecosystem? Don’t panic. If you haven’t deeply learned every tooling detail, you haven’t missed an irreversible boat; tools are getting easier, and platforms — reportedly including local Chinese providers — are pushing one‑click deployments and tighter integration to lower the learning curve. Amid broader geopolitics — export controls on chips and cross‑border tensions over AI tech — domestic ecosystems are racing to make models usable without specialized skills. So ask yourself: do you need to master every update, or just the version that solves your problem today? Use what works, switch when necessary, and resist the instinct to chase every shiny new workflow.