A post recently went viral in China. An HR professional spent three minutes building a recruitment agent. In thirty minutes, it screened six candidates from 310 résumés. Within a day, the post had racked up 300,000 views.
What made it striking was that the same company had previously spent 2.75 million RMB on a full-process AI office system, developed by a professional team and pushed hard for six months. It ended in chaos and was scrapped.
A 2.75-million-yuan professional system failed to deliver, while a three-minute personal tool worked. That contrast made one thing clear: the difficulty of enterprise AI adoption is not about technology. It is about people.
Put bluntly, the pattern is: leadership decides → outsiders step in → everything falls apart.
1. The Numbers Do Not Lie
