I think there's a big difference between individual employees using AI tools to boost their productivity - with things like Claude Code and Codex - and "AI projects" where companies build custom software on top of LLMs.

The former is easy to get right. Any software engineer (at least provided they aren't actively resisting the technology )can get useful results out of Claude Code these days.

The latter is really hard. LLMs are a strange beast to build software on, and most of the obvious projects - like the internal chatbots described in this article - are easy to have over-promise and under-deliver.