Earlier quoted context omitted.
What is the hard evidence? Edit: What I mean by this is there may be some circumstantial evidence (less hiring for juniors, more AI companies getting VC funding). We currently have no _hard_ evidence that programming has had a substantial speed increase/deskilling from LLMs yet. Any actual __science__ on this has yet to show this. But please, if you have _hard_ evidence on this topic I would love to see it.
Closest I guess is hiring of juniors is down, but it's possibly just due to a post COVID pullback being credited to AI. I definitely think a lot of junior tasks are being replaced with AI, and companies are deciding it's not worth filling junior roles at least temporarily as a result.
I think team expansion is being reduced as well. If you took a dev team of 5, armed them all with Claude Code + training on where to use it and where not to I think you could get the same productivity as hiring 2 additional FTE software devs. I'm assuming your existing 5 devs fully adopt the tool and not reject it like a bad organ transplant. Maybe an analogy could be the invention of email reducing the need for corporate typing pools and therefore fewer jr. secretaries ( typists) are hired.
/i'm just guessing that being a secretary is in the career progression path of someone in the typing pool but you get the idea.
edit: one thing i missed in my email analogy is that when email was invented it was free and available to anyone that could set up sendmail/*.MTA