> Structural unemployment happens when the skills of the work force don't match the needs of employers I know someone who was laid off from an AI group at a la

> Structural unemployment happens when the skills of the work force don't match the needs of employers I know someone who was laid off from an AI group at a large chipmaker last year- his group was eliminated. But because he wasn't doing LLMs, he was doing CNNs for vision, it took him about a year to find a new gig teaching Machine Learning classes - not his preferred gig or level of pay. He could easily have transitioned from CNNs to LLMs but the algorithms sorting the resumes didn't seem to think so. Personally, I've worked on optimizing code to make machine learning algorithms run faster/more efficient - also compiler/LLVM work. When I was laid off over a year ago I'd apply for things and it was mostly crickets - had a few interviews which often ended up in ghosting. I gave up looking and am working on a startup with some other who've found themselves in a similar situation - no pay at this point, only equity. Anyway, I think your premise is flawed: AI/ML skills are in demand, but even people with those skills are having a hard time getting back into the industry. Maybe the companies doing AI/ML are spending so much money on GPUs now that they can't actually afford to hire people?