5 • 1.1K Ratings
🗓️ 5 September 2025
⏱️ 26 minutes
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| 0:00.0 | Now, what I would like to do today is talk about what we're learning about how artificial intelligence may impact the labor market. |
| 0:09.9 | There's been so many words spilt over the past decade and more about what it might mean for jobs, creating this lovely portmanteau, the job apocalypse. |
| 0:21.7 | And we're looking for data, for evidence of that. |
| 0:25.5 | And this week, my friend Eric Brynjolfson and two of his collaborators came up with a new |
| 0:32.4 | paper, which I think is really robust and very, very interesting. |
| 0:37.1 | Eric is a professor at Stanford University, where he runs a digital economy lab, where I'm a digital |
| 0:43.3 | fellow as well. And in this paper, Eric and his collaborators Barrett Chandar and Ryu Chen |
| 0:50.2 | analyzed payroll data from ADP, which is a really large payroll processor globally, but very, |
| 0:57.5 | very strong in the US, handling payrolls for millions and millions of American workers. |
| 1:02.7 | And they were able to look at this data, correct for various confounders like COVID and |
| 1:08.1 | seasonality. And they identified a really, really interesting finding. |
| 1:14.7 | And that finding was that early career employees, people between the ages of 22 and 25, |
| 1:22.3 | in the most AI exposed roles, roles exposed to artificial intelligence such as customer service |
| 1:31.4 | or software development, experienced a 13% relative decline in deployment from 2022 onwards. |
| 1:41.9 | So this is a really important key finding. It's a substantial decline in employment |
| 1:47.1 | for those early career workers. And it was really focused, concentrated on AI-exposed occupations. |
| 1:55.4 | In contrast, for workers who had more experience in those particular professions and areas, employment |
| 2:05.7 | actually went up. You know, mid-career software developers, you saw a 10% increase in employment. |
| 2:12.4 | In the case of these early careers, employees, 20 to 25, there was a 13% decrease. So it's really, really |
| 2:18.8 | meaningful, that bifurcation. And if you looked at less exposed occupations, so you looked at |
| 2:24.2 | sales and marketing or health aides or stop clerks, you didn't see the same suppression of employment, |
| 2:33.9 | particularly for that early career employees. So if you look |
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