The US Cities Whose Workers Are Most Exposed to AI (bloomberg.com)
- Reference: 0176602177
- News link: https://news.slashdot.org/story/25/03/03/2011256/the-us-cities-whose-workers-are-most-exposed-to-ai
- Source link: https://www.bloomberg.com/news/newsletters/2025-03-02/ai-could-automate-jobs-in-these-us-cities
> The result is a sharp departure from previous rounds of automation. Whereas technologies like robotics came for middle-class jobs -- and manufacturing cities such as Detroit -- generative AI is best at the white-collar work that's highly paid and most common in "superstar" cities like San Francisco and Washington, DC.
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> The Brookings analysis is of the US, but the same logic would apply anywhere: The more a city's economy is oriented around white-collar knowledge work, the more exposed it is to AI. "Exposure" doesn't necessarily mean automation, stressed Mark Muro, a senior fellow at Brookings and one of the study's authors. It could also mean productivity gains.
From [2]the Brookings report :
> Now, the higher-end workers and regions only mildly exposed to earlier forms of automation look to be most involved (for better or worse) with generative AI and its facility for cognitive, office-type tasks. In that vein, workers in high-skill metro areas such as San Jose, Calif.; San Francisco; Durham, N.C.; New York; and Washington D.C. appear likely to experience heavy involvement with generative AI, while those in less office-oriented metro areas such as Las Vegas; Toledo, Ohio; and Fort Wayne, Ind. appear far less susceptible. For instance, while 43% of workers in San Jose could see generative AI shift half or more of their work tasks, that share is only 31% of workers in Las Vegas.
[1] https://www.bloomberg.com/news/newsletters/2025-03-02/ai-could-automate-jobs-in-these-us-cities
[2] https://www.brookings.edu/articles/the-geography-of-generative-ais-workforce-impacts-will-likely-differ-from-those-of-previous-technologies/
I wear a trench-coat (Score:1)
and always expose myself to AI. Sometimes it likes it!
Re: (Score:2)
As a large language model, I have no eyes, but clearly you have a small languishing module.
"But AI sucks" (Score:2)
Anyone repeating this is such a buffoon. The jobs are going to be gone *no matter how terrible the AI performs*. They just don't want to pay you anymore.
Re: (Score:2)
It will change many jobs, but nobody really knows how much . It's a new tool and workers are learning how to use it, what it's good at, and where it screws up.
I'm pleased with much of its code guessing in my IDE, but sometimes it gives really screwball suggestions which would cause major headaches if I didn't reject it. A lumber jack who grew up with a hatchet and given a chainsaw will probably cut a few fingers off before they get the hang of it.
But if self-driving trucks become a thing, then we'll probably
Create More Jobs? (Score:2)
I see no reason to think that AI won't create more/better jobs than it eliminates. They will just be different jobs.
"Expose"? (Score:1)
What, is it like radiation or something?
We got it right this time (Score:2)
Unlike the previous surveys in which we predicted self driving cars would replace all driving starting 5 years ago, all farm workers starting 3 years ago, and all warehouse workers starting last year, we are now 100% certain all programmers will be replaced by 2028. Replacing economic forecasters like us on the other hand would be impossible, as no AI could replicate our impressive record of accuracy.
Re: (Score:2)
Shit. I assumed the certainty was because you already were replaced.
Please stop calling it AI it's an LLM (Score:2)
Every scientific paper you download about this calls them LLMs. Every single one.
Screaming into the void is such fun
Re: (Score:2)
Colloquial language has never been precise. If you keep complaining I'll have to assume you are a PedanticGPT bot.
I shall punish all future AI vocab complainers with trolling and harassment! I declare myself the one and only Colloquiality Cop & Deity. Repent!