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Why You Shouldn't Worry about AI Taking Jobs (richardhanania.com)
12 points by smitty1e on Feb 9, 2025 | hide | past | favorite | 5 comments


> I think this is even true for pornography, or more wholesome forms of gooning.

good to know gooning is officially in the lexicon


Admittedly I didn't read this all the way through.

I only made it about halfway, and I stopped largely because its a lot of words rehashing the same or similar arguments and structures all containing the initial flaw in many different ways, that is survival bias.

It neglects established material on the limits to growth. Its not based in reality, and in my opinion not worth the time spent reading.



Let's not forget that many companies over hired during COVID. There are a lot of interacting parts in the labor equations

Anecdotally, I have no worries that an AI can do my job and replace me. I would need to see a significant advancement, like moving beyond transformers, that creates a paradigm shift in the SoTA


Let's not forget that many companies laid off large portions of IT staff in aggregate within months of companies with AI based services claiming to fulfill these roles at less than the labor cost, for entry level white-collar jobs.

The danger itself isn't in AI taking over all jobs because that can't happen, the danger is in destroying the pipeline of professional development so new people can never become qualified because the opportunities don't exist to develop to the point of mid or senior level.

Pigeonholing that AI will take all jobs is just fear mongering while ignoring the elephant in the room.

If you think about how do you develop and train talent (humans) to do these jobs? The fact that most systems within society follow a sequential pipeline process should give you pause.

> Let's not forget that many companies over hired during COVID.

That's a bit misleading because there was extreme demand for those professionals at that time. You had to move quickly and transition your workforce to work from home in weeks and months, for what would normally take a year or two.

The work was done, and technically there's even more demand now that companies are trying to force RTO, and the rising costs of cloud forcing repatriation.

They still fire all those people not because of a slump in demand but because of industry cooperation and AI. IT is a labor multiplier, and its never been correlated with interest rates historically. The only factor in the same time period is the broad marketing of AI to replace workers.




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