I wonder the same thing. I think we've already seen some of this happening, however the consequences haven't been large enough to the organization, for example:

- https://www.theguardian.com/technology/2026/mar/20/meta-ai-a...

- https://tech.yahoo.com/articles/ai-code-wreaked-havoc-amazon...

- https://alexeyondata.substack.com/p/how-i-dropped-our-produc...

We can only hope that engineers working in safety critical systems haven't fallen to these working conditions.

You're assuming that LLMs entered a world of people who understood how the systems they're inside of work, why they're setup that way, and that LLMs are displacing them. I sadly don't think that's the case in... well... a lot of the cases.

Such an event would have to be pretty catastrophic at this point to slow down the inertia. Perhaps the tech debt will just pile up until someone's product implodes, or there's a massive safety issue that causes loss of life, or some big hedge fund goes bust.

That question makes me think about Boeing. Or NASA. Or Enron. Reality always wins, no matter what management and Investor Relations says.

The event could be when fair pricing comes from the model providers. We're still at the cash burning stage. When the economy crashes a little and departments start monitoring their spending, and the prices for inference are 10x what they are, there will be less tolerance for employees to substitute constant AI usage for understanding.