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You’re just making things up here. LLMs or other forms of “AI” can’t do most jobs, so it’s silly to speculate what will happen when it replaces humans in those jobs it can’t actually perform.

To the extent it can automate tasks under the direction of humans, it’s not even clear it makes those humans more productive, but it is clear that it harms those humans’ own skillsets (beyond prompt engineering).



They can't do most jobs, but they can still reduce the amount of jobs.

For example, even outsourcing giants like Infosys shrank hiring by 20% AND increased personnel utilization from 70% to 85% just by mandating employees to start using code-gen tools, and as a result were able to significantly enhance margins.


>so it’s silly to speculate what will happen when it replaces humans in those jobs it can’t actually perform

Why?

If you're waiting around for AI to do these things by the time it happens it will be getting hit like a truck. The speed of technological implementation these days is very fast, especially when compared to the speed of regulation.

Moreso we are not just seeing improvement in things like LLMs, there is broad improvements in robotics and generalized behavior in AI.


Technically the article is making things up, and I’m responding to those assertions.




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