I analyzed 180M jobs to see what jobs AI is replacing today

Completely absent is quantity of jobs. If e.g. ml engineer job postings go +40% from 200 to 280 and writer job postings go -50% (over two years) from 20000 to 10000, then we have a better idea of the impact.

Without those data this report isn’t really quantifying impact on “180M jobs.”

Comparing US job openings from 2024 to 2025 seems to be selective. Is the job in sudden decline? Or a reset to a norm? Or is the decline something that has been happening over even a longer timeframe?

Taking two years and drawing conclusions from those two years seems to miss larger pictures - especially when the mess of Covid and the pandemic years and that job market is mixed in with this. Yea, that's half a decade back but companies are still trying to figure out how much staff they need where.

Photography? Yes, that's likely been impacted. Compare https://web.archive.org/web/20230124085038/https://www.bls.g... and https://www.bls.gov/ooh/media-and-communication/photographer... and the rate of growth has changed. However I'll also draw attention to the estimates that there's only a few thousand open positions with that classification each year. This includes self employed stock photographers and artists - corporate photographers have been a hard thing to get for a much longer timeframe (I looked into it a little bit back in '09). Additionally, artistic photography is impacted by the amount of money that regular people are willing to spend at art festivals and the like - that's gone down irrespective of AI.

I found this interesting: "Still, despite all the hype about how AI coding tools will replace software engineers, software engineering is still one of the most secure jobs you can have today, relative to most other white-collar jobs."

I've been getting lots of value out of AI coding tools; especially in the last few months. My assessment is that this will lead to more work to do, not less. It's not a zero sum game. More of what I do is baby sitting AIs. But together we do more than me with my team before. It will reflect in my hiring decisions as well. I want people that can do this responsibly (are able to tell good from bad code, are able to think for themselves, are able to get stuff done).

My observation so far is that micromanaging AIs still sucks

> First, let’s establish our benchmark: job postings dropped 8% in 2025 compared to the same period in 2024. Indeed reported a 7.3% year-over-year decline for US jobs recently, so this was a good sanity check, and told me that my data most likely was comprehensive.

Doesn't this also suggest that the job market is in such an unusual state, that any further analysis makes little or no sense?

Would be cool to see cybersecurity covered here as well. I find it interesting how the machine learning engineer is exploding, but every engineer I talk to about it suggests these positions are mostly doing non-productive "bullshit" work and not really contributing much (arguably this applies to many tech jobs). Obviously that's anecdotal and probably not the real story, but it does seem like "machine learning engineer" is a broad term and probably doesn't tell the full story in itself.

There is no causality analysis here, and really no justification for why AI is the reason for these job losses. An alternative explanation is the tariffs.

Such an interesting thing! I wonder why mobile engineer is down 5%. Maybe companies are moving to React Native / Flutter / Tauri / Electron ?

Maybe Apps are less of a priority now?

I'm not familiar in this industry so someone help me out here

I perform a different analysis, focused more on the type of blue collar jobs that most people believe are the prime candidates for AI/robotic job replacement:

https://emusings.substack.com/p/is-automation-going-to-eat-y...

The decline in frontend engineering jobs matches my personal impression from the past year. Smaller companies can do a lot with vibe coding alone, while larger companies can multiply their FE team productivity without making any new hires.

Frontend code can be very repetitive / labour intensive, I bet that has made this more attainable than for other layers in the stack. Most mistakes in UI code are also easily corrected and have a very tiny impact radius.

> While I acknowledge not all job postings result in a hire, and some are ‘ghost jobs’, since I was comparing the relative growth in job titles, this didn’t seem like a big issue to me.

Uhhh... That's a very big issue. In addition, there is also a glaringly obvious analysis error here related to layoffs/attrition.

No offence but is this analysis vibe analyzed or something?

All this is actually measuring is how the number of job listings in a specific industry have changed globally. That's not the same thing as "what jobs AI is replacing" at all!

Like nurses decreasing 11%. There is 0% chance that AI is disrupting nurses. If anything, nursing is probably in more demand due to continual aging. It might just be that fewer people are quitting because of covid being over. The total number of nurses might be going up still!

Are we just upvoting anything with AI in the title now? HN used to be pretty respectful of scientific methods. The methodology section here just reads like personal resume filler for showing that you can use AI. I mean I get it and I admire the hustle, but the quality here is pretty lacking overall. https://bloomberry.com/blog/i-analyzed-180m-jobs-to-see-what...

I wonder what the numbers look like if you compare pre-pandemic to now. To me it feels like during the pandemic companies found out they can fire a lot of people without a lot of backlash as long as they have a weak excuse. I feel like AI taking over jobs is such an excuse, especially considering creative jobs and the layers that are supposedly being replaced by AI in the article they call it "Creative roles that “execute” ".

AI is taking jobs but for a different reason. Big Tech is in an AI race so they will shrink their staff or move jobs to India as much as possible to free capital for GPU datacenters. To hell with the consequences.

Meta, Alphabet, and Oracle are even issuing almost $60 billions in bonds. Unheard of.

>180M jobs

I doubt they have this data. I highly doubt they have this data.

using job listings as input instantaneously garbage in/garbage out this experiment

what does engineering look like if you remove ml engineer?

how does one move from backend to ml engineer

Demand for senior leadership, like director and VP positions, is likely growing because the boomers are retiring.

I've got AI doing my taxes. It's saved me both bookkeeping and CPA costs.