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Using detailed LinkedIn résumé + job-posting data on ~285k U.S. firms (2015–2025) to study a debated question: how does generative AI adoption affect entry-level employment?
We identify adoption from job postings explicitly recruiting AI integrators (e.g. “we need someone to put genAI in our workflow!”). A firm is an adopter if it posts ≥1 such role. We find ~10.6k adopting firms (~3.7%), with a sharp takeoff beginning in 2023Q1.
In the aggregate, before 2022 juniors and seniors move in lockstep. Starting mid-2022, seniors keep rising while juniors flatten, then decline.
102 sats \ 1 reply \ @optimism 9h
The graph text:
Figure 2: Time Series of Junior and Senior Employment in Sample Firms Notes: This figure plots the average number of junior-level workers and senior-level workers in our sample of firms over time, normalized to 1 in January 2015. We define “junior” workers as those in Entry- or Junior-level positions, and “senior” workers as Associate level and above (see Section 3.1 for details)
I note 2 things:
  1. Something is odd about that Y axis
  2. WTF happened in 2020? Oh. lol
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Most likely the baseline is normalized to zero, and then the Y axis is percentage growth from the baseline. So 0.2 is 20% increase from the base period.
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Yep, I mean, not surprising at all. GenAI is already better at junior level tasks than most junior hires, i'd reckon. Whereas it's not yet capable of the higher level orchestration of tasks required at the senior level.
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10 sats \ 0 replies \ @Simonbem 7h
The way forward is to skill up and adopt the ever-changing technology. So as to remain relevant and employable
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10 sats \ 0 replies \ @brave 12h
With the advent of the AI boom, entry level jobs are getting eliminated with each AI model updates
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10 sats \ 0 replies \ @Entrep 10h
If this continues... how would junior people learn from more experience people on the job?
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It's time for new comer to get your hands dirty with generative AI. That can only add value and keep every new comer out of tough competition.
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