A.I. progress is giving me writer’s block
Deep Dives
Explore related topics with these Wikipedia articles, rewritten for enjoyable reading:
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Jeannette Rankin
17 min read
Mentioned in article as first woman elected to Congress in 1917
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Elizabeth Blackwell
27 min read
First woman to graduate from medical school in 1849, mentioned in article
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Artificial intelligence
64 min read
Core topic of the article - AI progress and automation of white-collar work
Here’s an idea for an article that I had recently:
One of the most underrated aspects of education policy is the impact that second-wave feminism had on the K-12 workforce. It used to be the case that an enormous fraction of the smartest and most ambitious women in America were working as public school teachers, and were doing so at depressed wages because of limited opportunities for women to have white-collar careers. Some of this was formal, but a lot of it wasn’t. Jeannette Rankin entered Congress in 1917 and Elizabeth Blackwell graduated from medical school in 1849, so it’s not like women “couldn’t” have careers in politics or medicine before 1970. But they rarely did. And there wasn’t one specific formal policy change that unleashed the entire transformation of women’s professional opportunities. There were formal changes in public policy, of course, but the most important changes were the shifts in attitudes and social values over several generations.
And a second-order consequence of this was the steady erosion of human capital available in the teaching workforce.
And it seems likely to me that as artificial intelligence generates a sharp decline in the demand for major categories of white-collar work — a much more restrained claim than the idea that it will replace all jobs — we could see a reversal of that flow.
Large language models have many potential applications in the educational context, but it’s hard to see them operating as a replacement for a human teacher in the way that they could replace people who work in jobs that mostly involve typing on computers. That, in turn, would be an example of how even though the labor market disruptions associated with new technology can be painful, they also have upside. Automation of white-collar work isn’t just a productivity boost in those specific sectors; it could also lead a lot of the human capital that is currently deployed in fields like law and accounting to be redirected toward teaching young people, which would have its own benefits.
When I pitched this idea to Kate, though, she raised a good point: Couldn’t this same process significantly reduce the value of a traditional education? Similarly, when I asked Claude about this, it told me that the timeframes don’t line up correctly. It’s true that a downward shift in the relative earnings of white-collar professionals could improve teacher recruiting and retention. But ...
The full article by Matthew Yglesias is available on Slow Boring.