We’re all seeing the breathless hype surrounding the vacuous marketing term. It’ll change everything! It’s coming for our jobs! Some 50% of white-collar workers will be laid off!

Setting aside “and how will it do that?” as outside the scope of the topic at hand, it’s a bit baffling to me how a nebulous concept prone to outright errors is an existential threat. (To be clear, I think the energy and water impacts are.)

I was having a conversation on Reddit along these lines a couple of days ago, and after seeing more news that just parrots Altman’s theme-du-jour, I need a sanity check.

Something I’ve always found hilarious at work is someone asking if you have a calculator (I guess that dates me to the flip-phone era) … my canned response was “what’s wrong with the very large one on your desk?”

Like, automation is literally why we have these machines.

And it’s worth noting that you can’t automate the interesting parts of a job, as those are creative. All you can tackle is the rote, the tedious, the structured bullshit that no one wants to do in the first place.

But here’s the thing: I’ve learned over the decades that employers don’t want more efficiency. They shout it out to the shareholders, but when it comes down to the fiefdoms of directors and managers, they like inefficiency, thank you very much, as it provides tangible work for them.

“If things are running smoothly, why are we so top heavy” is not something any manager wants to hear.

Whatever the fuck passes for “AI” in common parlance can’t threaten management in the same way as someone deeply familiar with the process and able to code. So it’s anodyne … not a threat to the structure. Instead of doubling efficiency via bespoke code (leading to a surplus of managers), just let a couple people go through attrition or layoffs and point to how this new tech is shifting your department’s paradigm.

Without a clutch.

I’ve never had a coding title, but I did start out in CS (why does this feel like a Holiday Inn Express ad?), so regardless of industry, when I end up being expected to use an inefficient process, my first thought is to fixing it. And it has floored me how severe the pushback is.

I reduced a team of 10 auditors to five at an audiobook company with a week of coding in VB. A team of three placing ads to 0.75 (with two of us being me and my girlfriend) at a newspaper hub.

Same hub, clawed back 25% of my team’s production time after absurd reporting requirements were implemented despite us having all the timestamps in our CMS – the vendor charged extra to access our own data, so management decided a better idea than paying the vendor six figures was overstaff by 33% (250 total at the center) to get those sweet, sweet self-reported error-laden data!

At a trucking firm, I solved a decadelong problem with how labour-intensive receiving for trade shows was. Basically, instead of asking the client for their internal data, which had been my boss’ approach, I asked how much they really needed from us, and could I simplify the forms and reports (samples provided)? Instant yes, but my boss hated the new setup because I was using Microsoft Forms to feed Excel, and then a 10-line script to generate receivers and reports, and she didn’t understand any of that, so how was she sure I knew what I was doing?

You can’t make this shit up.

Anyway, I think I’ve run far afield of my central thesis, but I think these illustrations point to a certain intransigence at the management level that will be far more pronounced than is being covered.

These folks locked in their 2.9% mortgage and don’t want to rock the boat.

My point is, why would management suddenly be keen on making themselves redundant when decades of data tell us otherwise?

This form of “AI” does not subvert the dominant paradigm. And no boss wants fewer employees.

As such, who’s actually going to get screwed here? The answer may surprise you.

  • Megaman_EXE@beehaw.org
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    16 hours ago

    Amazon just laid off 14,000 workers, and they’re claiming they can do their jobs with AI.

    They’re already making AI commercials for TV and AI images for advertising, and there was a post here about AI music that hit the top 100 played on Spotify or something. Now, how cost-effective and efficient these all are? I have no idea.

    I think there’s both overhype and reality. I think it’s a bit of both. Companies want people to believe AI is the way forward. But I also think part of this is smoke and mirrors. I actually don’t know how much of it is truth and until we start hearing more first-hand accounts, I feel like it’s very up in the air.

    • HobbitFoot @thelemmy.club
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      3 hours ago

      Amazon, like a lot of other tech companies, has also been cutting product lines as increased interest rates has put a cost to money and a push to profitability.

      That said, there is likely some use to AI, even if it is error prone.

    • tal@lemmy.today
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      16 hours ago

      Though to be fair, Amazon’s scale is very large, so it’s worth it to spend a lot on automation. They’ve done a lot with robots before. 14k isn’t as many as it might sound, at their scale.

      kagis

      https://www.nytimes.com/2025/10/21/technology/inside-amazons-plans-to-replace-workers-with-robots.html

      Amazon’s U.S. work force has more than tripled since 2018 to almost 1.2 million. But Amazon’s automation team expects the company can avoid hiring more than 160,000 people in the United States it would otherwise need by 2027. That would save about 30 cents on each item that Amazon picks, packs and delivers to customers.

      Executives told Amazon’s board last year that they hoped robotic automation would allow the company to continue to avoid adding to its U.S. work force in the coming years, even though they expect to sell twice as many products by 2033. That would translate to more than 600,000 people whom Amazon didn’t need to hire.

      • hendrik@palaver.p3x.de
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        7 hours ago

        I think the entire origin story of Amazon and why they outcompeted other bookstores, online- and mail-order companies was automation and their more streamlined processes. Afaik they’ve made sure to implement it as an entire chain from end to end, and that’s been their huge advantage from early on.