* People using it as a tool, aware of its limitations and treating it basically as intern/boring task executor (whether its some code boilerplate, or pooping out/shortening some corporate email), or as tool to give themselves summary of topic they can then bite into deeper.
* People outsourcing thinking and entire skillset to it - they usually have very little clue in the topic, are interested only in results, and are not interested in knowing more about the topic or honing their skills in the topic
The second group is one that thinks talking to a chatbot will replace senior developer
I'm a subject matter expert 45 years in programming and data, aware of the tools limitation but still use it all day every day to implement non-trivial code, all the while using other tools to do voice transcription, internal blog posting about new tools, agents information gathering while I sleep, various classifiers, automated OCR, email scanning, recipe creation, electronics designing, many many other daily tasks.