My suspicion is the divergence in the graph is less „AI is eating jobs“ or „AI creates more revenue with fewer workers“, and more „AI is in a massive bubble and the stock market should be lower“. OpenAI engaging in moral hazard and trying to get a federal backstop („Heads we win, tails you lose“/“too big to fail“) tends to supports that conclusion
AI is destroying some marginal jobs around the edges, but it’s proving harder to automate jobs than a lot of MBA’s thought, which is why [businesses are slowing their investments in AI](https://i.imgur.com/z8meK6E.png) in recent months.
My sense is that business executives are pointing the finger at AI for layoffs rather than tariffs, business uncertainty, economic conditions to avoid risking Trump’s ire.
Created with R, with job opening data pulled from FRED::JTSJOL, and S&P500 data from Yahoo Finance.
redline314 on
Your new job is riding the S&P I guess. The rich get richer.
commissionerahueston on
I am sad to report that *this* data is, in fact, not beautiful.
(But thank you for posting it OP!)
whereami1928 on
Someone plot the interest rates on top of this
om_steadily on
I think there’s a bit of dangerous correlation/causation implication here. Your comment softens that somewhat, but my interpretation is that tariffs are forcing employers to cut costs while AI hype is keeping the market afloat.
NJneer12 on
When did interest rates start to change? I’ve heard that’s a better infliction point
Electricengineer on
no correlation to AI as its not mature yet, jobs were already going down. also, this isn’t the first time someone has posted this exact graph.
ThinkOutTheBox on
Can you put the grey vertical dash at every year instead of every 2.5 years?
stupid_cat_face on
I actually don’t think it’s all AI. I think that companies have slowed down their backfilling of jobs. People tend to leave and companies typically will backfill. I think ‚tariffs‘, the H1-B visa cost and uncertainty has led to companies just not backfilling and telling the current employees to ‚use AI‘ more.
Purplekeyboard on
I think we can all agree that correlation implies causation, so this graph shows a clear cause and effect relationship here.
Now, if you’ll all excuse me, I’m going to go sell a bunch of ice cream. If I can sell enough, summer will appear.
CokeZoro on
I bet OP thinks he is very clever.
perrydolia on
Classic logical fallacy, just because A preceeds B doe snot prove that A caused B.
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My suspicion is the divergence in the graph is less „AI is eating jobs“ or „AI creates more revenue with fewer workers“, and more „AI is in a massive bubble and the stock market should be lower“. OpenAI engaging in moral hazard and trying to get a federal backstop („Heads we win, tails you lose“/“too big to fail“) tends to supports that conclusion
AI is destroying some marginal jobs around the edges, but it’s proving harder to automate jobs than a lot of MBA’s thought, which is why [businesses are slowing their investments in AI](https://i.imgur.com/z8meK6E.png) in recent months.
My sense is that business executives are pointing the finger at AI for layoffs rather than tariffs, business uncertainty, economic conditions to avoid risking Trump’s ire.
Created with R, with job opening data pulled from FRED::JTSJOL, and S&P500 data from Yahoo Finance.
Your new job is riding the S&P I guess. The rich get richer.
I am sad to report that *this* data is, in fact, not beautiful.
(But thank you for posting it OP!)
Someone plot the interest rates on top of this
I think there’s a bit of dangerous correlation/causation implication here. Your comment softens that somewhat, but my interpretation is that tariffs are forcing employers to cut costs while AI hype is keeping the market afloat.
When did interest rates start to change? I’ve heard that’s a better infliction point
no correlation to AI as its not mature yet, jobs were already going down. also, this isn’t the first time someone has posted this exact graph.
Can you put the grey vertical dash at every year instead of every 2.5 years?
I actually don’t think it’s all AI. I think that companies have slowed down their backfilling of jobs. People tend to leave and companies typically will backfill. I think ‚tariffs‘, the H1-B visa cost and uncertainty has led to companies just not backfilling and telling the current employees to ‚use AI‘ more.
I think we can all agree that correlation implies causation, so this graph shows a clear cause and effect relationship here.
Now, if you’ll all excuse me, I’m going to go sell a bunch of ice cream. If I can sell enough, summer will appear.
I bet OP thinks he is very clever.
Classic logical fallacy, just because A preceeds B doe snot prove that A caused B.