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AI adoption linked to 13% decline in jobs for young U.S. workers: study

(www.cnbc.com)
440 points pseudolus | 2 comments | 28 Aug 25 14:13 UTC | HN request time: 0.008s | source
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fibers ◴[28 Aug 25 14:46 UTC] No.45052852[source]▶
The accounting note is not true in the traditional sense. The field in the US is just getting offshored to India/PH/Eastern Europe for better or for worse. There is even a big push to lower the educational requirements to attain licensure in the US (Big 4 partners want more bodies and are destroying the pipeline for US students). Audit quality will continue to suffer and public filers will issue bunk financials if they aren't properly attested to.
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jameslk ◴[28 Aug 25 21:27 UTC] No.45057231[source]▶
How many of these jobs are getting offshored because of AI?

Language barriers, culture, and knowledge are some of the biggest challenges to overcome for offshoring. AI potentially solves many of those challenges

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mostlysimilar ◴[28 Aug 25 22:06 UTC] No.45057602[source]▶
> AI potentially solves many of those challenges

Isn't it exactly the opposite?

Language barriers: LLMs are language models and all of the major ones are built in English, speaking that language fluently is surely a prerequisite to interacting with them efficiently?

Knowledge: famously LLMs "know" nothing and are making things up all of the time and sometimes approximate "knowledge"

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1. jameslk ◴[29 Aug 25 00:39 UTC] No.45058661[source]▶
Language barriers: The outsourced workers I know use AI to help them ask and answer questions about things in English they don’t perfectly understand because English is their second language. They use it to write better English from English with grammatical mistakes

Knowledge: True to an extent, but my assumption here is that it would be used to fill in gaps or correct misunderstandings. Not wholesale doing my job. At least that’s often how I use it

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2. osn9363739 ◴[29 Aug 25 01:59 UTC] No.45059192[source]▶
I worry things will be lost in translation (maybe would have already), Or the LLMs will fill in the gaps with wrong information, like some sort of weird telephone game.

That said, I have one ESL on my team who uses LLMs a lot like that and it's fine so who knows.