US Job Market Visualizer • Hacker News Board

Are childcare and kindergarten teachers really exposed to AI? In theory, we could put a class of 30 children in front of chatbots with one supervisor. But I doubt we would chose to do this as a society. If office work becomes more automated, early childhood education is actually one area I'd expect to take up the Slack. I can't imagine a situation where we have millions of unemployed former office workers but we leave them idle and let our children waste away in front of screens.

Re: US Job Market Visualizer

#15

Post by calvinmorrison » Mon, Mar 16, 2026, 4:13 PM UTC

I'd like to see this but - not sure if it is already - adjusted by total pay. so # employed * average salary.

A -4.0% hit to cashiers may have less of an impact than -4.0% to lawyers or another category that is propping up the middle of the economy with spending.

Re: US Job Market Visualizer

#16

Post by lm28469 » Mon, Mar 16, 2026, 4:13 PM UTC

visarga wrote: post #10

If AI produces surplus where does it go? Not talking about investment backed datacenter buildout and AI labs. Talking about the results of AI work... I think AI outcomes distribute to contexts where it is used, and produce a change in how we work, what work we take on. Competition takes care of taking those surpluses and investing them in new structure, which becomes load bearing and we can't do without it anymore. I…

> If AI produces surplus where does it go? Not talking about investment backed datacenter buildout and AI labs. Talking about the results of AI work...

The 1% pockets, this is where the vast majority of the extra productivity computers/internet/automation brought goes to for the last 50 years: https://www.epi.org/productivity-pay-gap/

Re: US Job Market Visualizer

#17

Post by yifanl » Mon, Mar 16, 2026, 4:15 PM UTC

visarga wrote: post #10

If AI produces surplus where does it go? Not talking about investment backed datacenter buildout and AI labs. Talking about the results of AI work... I think AI outcomes distribute to contexts where it is used, and produce a change in how we work, what work we take on. Competition takes care of taking those surpluses and investing them in new structure, which becomes load bearing and we can't do without it anymore. I…

If AI being a million billion zillion times more productive at doing bullshit jobs nets in very little economic gain, then that lays bare the net economic value of all our bullshit jobs.

But given that the stock market hasn't panicked, this must mean at least one of these premises is false:

1. Economic activity is relatively flat.

2. AI makes us a million billion zillion times more productive than we used to be.

3. The stock market is rooted in reality.

Re: US Job Market Visualizer

#18

Post by zkmon » Mon, Mar 16, 2026, 4:17 PM UTC

Mouse hover seems to be critical for this visualization. Not much useful in mobile.

Re: US Job Market Visualizer

#19

Post by nerevarthelame » Mon, Mar 16, 2026, 4:17 PM UTC

throwaw12 wrote: post #8

tencentshill wrote: post #3

[flagged]

The VIEW could be AI slop, but underlying CONTENT has some meaning. There is definitely impact on Software engineering jobs at the moment, interns/juniors are struggling to find jobs, companies are squeezing every bit of dev slack time to produce more stuff with AI.

> The VIEW could be AI slop, but underlying CONTENT has some meaning. There is definitely impact on Software engineering jobs at the moment, interns/juniors are struggling to find jobs

Is that notion supported by this content? The BLS Outlook for most software engineering jobs is most in the "much faster than average" growth range.

Re: US Job Market Visualizer

#20

Post by georgemcbay » Mon, Mar 16, 2026, 4:21 PM UTC

orphea wrote: post #7

bigyikes wrote: post #5

Earlier quoted context omitted.

Does it matter if the author is a renowned expert in the field?

No. You can be an expert in one field, and have no idea what you're doing in another.

> You can be an expert in one field, and have no idea what you're doing in another.

And for whatever reason a lot of people in startup/tech seem to have a huge Dunning-Kruger effect blind spot where they believe knowing a lot about one thing makes them an expert in everything.

This used to just be funny, but when it started to intersect with politics it began to actively contribute to destroying society. It isn't funny anymore.

(I don't think Karpathy's job data here is destroying society, this is a more generalized observation).