There are two sets of perverse incentives at play. The main one the author focuses on is that LLM companies are incentivized to produce verbose answers, so that when you task an LLM on extending an already verbose project, the tokens used and therefore cost increases.

The second one is more intra/interpersonal: under pressure to produce, it's very easy to rely on LLMs to get one 80% of the way there and polish the remaining 20%. I'm in a new domain that requires learning a new language. So something I've started doing is asking ChatGPT to come up with exercises / coding etudes / homework for me based on past interactions.