Point is it's too early to declare what the effect will be. It can take years for large organizations to change the way of doing things. The only sure-fire way to speed that up is if they suddenly start losing market-share. Otherwise, it's all herd-following and complacency in the majority of companies.
Newsflash: AI is already remarkably good at replacing the exact office and civil service paper-pushing they do every day.
Most people I deal with still struggle with basic things. These were the types of people that couldn't program a VCR back in the 80's. Yes eventually they may get left behind but they are the majority of the population.
I'm sure AI is all the rage in SV but everywhere else I go, no one gives a damn about any of this. I was just in Florida for work last week. 5 days and not one person I talked to brought AI up outside of a vendor trying to scare me about Mythos. It's just a nonissue for most people.
In time maybe that changes, but I still hear people arguing about "the cloud" which was over a decade ago at this point in terms of tech trends. Expecting any of these people to understand what skills are or MD files or MCP is unrealistic. They simply don't give a fuck.
[1] https://www.forbes.com/sites/ronschmelzer/2026/07/14/ai-isnt...
It will be interesting to see what we are actually capable of 5 years from now... 10 years... There is almost definitely some job functions that are at risk and just don't know it, or haven't felt it yet.
Did hiring managers just pump the brakes "just in case this AI thing is real". So we should see some big spike in hiring now that we know AI isn't going to do everything?
Or, the actual real numbers of hiring, is for real an indicator that AI is already taking jobs, or reducing jobs. Teams of 5, can now be teams of 2 or 3.
That's a bit of a misleading statement, as it uses inaccurate terminology and cherrypicked comparisons. The linked chart is about labor productivity growth in those time frames, and current labor productivity is actually growing faster than projected since early 2023: See first chart here (rest of the article also worth skimming): https://aleximas.substack.com/p/what-is-the-impact-of-ai-on-...
Some economists suggest it's because of the impact of AI. Here's a study from the St Louis Fed (not quite a tech bro-pilled source I'd assume): https://www.stlouisfed.org/on-the-economy/2025/nov/state-gen...
If I may summarize my takeaway from that article: even though 50%+ of Americans currently self-report (major caveat) using AI, they use it for only 6% of work hours. This is what the recent Google study [1] called "broad but shallow use." But that still leads to 2% of work hour savings, which is a whopping 30%+ productivity boost per hour of AI used. And even with this low level of adoption, we may already be seeing the impact on labor productivity at national-level aggregate statistics!
Interestingly, this is across industries. You can play with the charts here [2]. There are all kinds of caveats involved, but there are other studies that rhyme (like [1] and those listed on the substack above.) This is kind of astounding considering it's been less than 4 years since ChatGPT was released.
My concern is that the impact on jobs is only beginning because 6% adoption is a very low number. I fear the impact will happen gradually, as adoption inches up... and then suddenly.
[1] https://blog.google/innovation-and-ai/technology/research/un... (discussion: https://news.ycombinator.com/item?id=49020335)
Also, many jobs are being threatened, including my own. And I don't really want to get a different job, even though I will if I have to. I like my current one and I'm very specific about what I do. I will get another job but it's probably not going to be as fun.
I hate AI and the people that made it.
We are so far off from these discussions that AI hype these days really sounds like a couple of frat bros BSing and not knowing what to do with their Ivy League credentials and inheritance money.