> Regardless of its realized effectiveness improvements it froze the intern/junior hiring pipelines.
Would be great to see some industry-wide stats here. There are three OTHER factors are play here:
1. Record numbers of CS undergrads (more supply)
2. More remote-CS/tech grad programs (yet more supply, many overseas)
3. Bursting of the tech-vc bubble (less demand)
4. AI (???)
Not sure how much can be attributed to AI. That said, i'd confidently say our team is at least 2x more productive than 3yrs ago. Huge numbers of loose change get thrown to the LLM to solve, instead of writing clever algos, etc.
a fifth plausible force here is that tech companies simply hired too aggressively during the zero interest rate policy, covid-related digitalization, engineering hiring rush of 2021-2023.
things are getting back to normal actually, and the companies who are embarrassed to be making cutbacks are saying it's actually because they're using AI, not because they over-hired.
Also, looming potential financial crisis, and massive uncertainty. Like, under the current economic conditions, a lot of companies will be in wait-and-see mode, and will be slowing or pausing hiring _anyway_.
Would be great to see some industry-wide stats here. There are three OTHER factors are play here:
1. Record numbers of CS undergrads (more supply)
2. More remote-CS/tech grad programs (yet more supply, many overseas)
3. Bursting of the tech-vc bubble (less demand)
4. AI (???)
Not sure how much can be attributed to AI. That said, i'd confidently say our team is at least 2x more productive than 3yrs ago. Huge numbers of loose change get thrown to the LLM to solve, instead of writing clever algos, etc.