AGI Won’t Automate Most Jobs—Economist Reveals Why They’re Not Worth It
The Hidden Truth About AGI and Jobs: It’s Not Automation—It’s Economics For years, the narrative around artificial intelligence has been dominated by visions of a jobless future, where machines take over every conceivable role. But what if the real story is far more complex? A new paper by one of the world’s leading economists of automation is flipping the script, offering a perspective that is both unexpectedly reassuring and deeply unsettling. Key Takeaways: The assumption that AGI will automate most jobs is being challenged by leading economic research. The paper suggests that many jobs won’t be automated—not because they’re irreplaceable, but because they’re simply not worth the cost of automation. This insight reframes the AI debate, shifting focus from technological capability to eco
The Hidden Truth About AGI and Jobs: It’s Not Automation—It’s Economics
For years, the narrative around artificial intelligence has been dominated by visions of a jobless future, where machines take over every conceivable role. But what if the real story is far more complex? A new paper by one of the world’s leading economists of automation is flipping the script, offering a perspective that is both unexpectedly reassuring and deeply unsettling.
Key Takeaways:
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The assumption that AGI will automate most jobs is being challenged by leading economic research.
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The paper suggests that many jobs won’t be automated—not because they’re irreplaceable, but because they’re simply not worth the cost of automation.
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This insight reframes the AI debate, shifting focus from technological capability to economic viability.
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The findings reveal a future where job displacement is selective, driven by market forces rather than pure technological advancement.
This groundbreaking analysis doesn’t just challenge the doomsday narrative—it forces us to rethink the very foundation of how we understand AI’s impact on the workforce. The implications are profound, touching on everything from economic policy to the future of work itself.
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updatestartupmarket![[D] ICML Rebuttle Acknowledgement](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-robot-hand-JvPW6jsLFTCtkgtb97Kys5.webp)
[D] ICML Rebuttle Acknowledgement
I've received 3 out of 4 acknowledgements, All of them basically are choosing Option A without changing their scores, because their initial scores were already positive. Meanwhile, the 4th reviewer had already given me a 3 and still hasn’t replied. What frustrates me is that I didn’t just clarify a few points. I ran a lot of additional experiments and wrote proofs to address every request they raised. So is this really how the process is supposed to work? Reviewers can ask for as many edits, experiments, and proofs as they want, and in the end all you get is “thanks for your response” with no score update? I’m trying to understand whether this is normal or if I just got unlucky. submitted by /u/Charming-Fail-772 [link] [comments]
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