The Majority AI View
18 comments
·October 18, 2025chartered_stack
pj_mukh
I think this is exactly the right intuition. I think people hopelessly underestimate the human tendency to do nothing. We have this idea that if an innovation is good enough it should “sell itself”, and that’s almost never true because across all organizations, it’s almost always safer to do nothing, adopt nothing, keep doing what you’re doing.
No one gets fired for suggesting no change.
It takes a special level of hype where “doing nothing” is no longer the sensible choice.
Do I wish this hype was spread around to other technologies that are also awesome, of course. I’d love to help someone figure out a way to do that but as of now, we don’t know how to do that. Humans are very bad at holding two different ideas in their head.
Terr_
This certainly fits with what I want to believe... But are there any good polls that would put some sort of statistical backbone into it?
charcircuit
The hype is justified. Nowadays I rarely write code directly anymore. I don't have to navigate around the codebase to trace data flow. I don't have to find mistakes causing a deadlock. The way I do my job compared to a year ago is completely different and I'm accomplishing more in the same amount of time. This isn't even including my usage in my personal life for education.
I'm skeptical the majority of tech experts are struggling to find the utility of them.
mmmpetrichor
I've found it very weird observing how CEOs across many companies behave as if they're part of some hivemind. When to do layoffs, how to implement office policies, and now pushing AI in the same way as if they have no brain of their own. It's very offputting. I can't tell if its collusion or whether maybe capitalism has its own goals that are pursued in lockstep by its creepy agents. I think the end goal is definitely to eliminate workers as much as they possibly can. And they think whoever can do that first will "win".
Yoric
Having worked with CEOs of a few start-ups, I suspect that many CEOs feel like they belong to a small circle of people "in the know".
Part of it is going through the VC gauntlet, I believe. Let's face it, to get money from VCs, you need to abase yourself, to learn how to lie to them and to yourself, to focus only on the survival of your company and pretending that you're going to make lots of money, regardless of your original goals and ideals. If you're a bit of a techie, you have just entered a world of appearances, where [it feels like] pretending to be successful and knowing something more than others matters more than actually doing something. And being kicked out would mean losing funding, which means everything for which you've twisted yourself into something you were not.
I think that this strongly favors hivemind/mob thinking.
ThrowawayR2
That's not any different from programmers clamoring en masse to switch to the latest cool framework or fashionable coding trend.
roenxi
You might find some inspiration in this video of metronomes synchronising and desynchronysing [0]. It doesn't take much to cause things to happen at the same time, in the case the CEOs are likely all responding to the same market signals at the same time for the same reason. Probably interest rates.
chartered_stack
What makes you think that it's only CEOs who look like they're part of a hive mind? It's got nothing to do with capitalism or it's "creepy agents". It's simply the human condition. It's literally company/human see company/human do. One company/management loudly kangs whatever their position is and others simply follow it because they think it's either "industry standard" or it's convenient somehow to them. That's all it is - people trying to be safe.
Let me give you a technical parallel. A couple of engineers/architects from Big Co. that's hugely successful leave and go to Hot Startup. There they proselytize their One True Way because honestly that's all they know. Everybody in Hot Startup goes along with it because they are Senior Engineers from Big Co. who are now plotting the course and Big Co. is HUGE so they know what they're talking about. Now because Hot Startup is suddenly using the One True Way everybody else in the market tries to copy them because that's obviously why Hot Startup is Hot. This leads to a job market where people optimize for things used by Hot Startup. This tilts the skill set of the general tech market towards the One True Way making it gospel to a lot of people. So hiring managers who don't know the first about anything suddenly start optimizing for One True techs and ask for 20 years experience with React. They think they're doing the safe thing by using the same tech stack used by everybody else - the industry standard. Never mind that the "industry standard" changes every time it's convenient.
This is the same thing for CEOs. Oh you're having a slightly down quarter and have to answer to investors? Say you're using AI. That's the in-thing and will give you that bump to ride out the quarter. You screwed up in 2021-22 and hired a fuckton of people who are just sitting on their hands costing the company money? Say AI and get rid of them because they're not productive. It's got nothing to do with collusion or anything like that. It's just that people have mismatched expectations and things happen downstream of these unmanaged expectations.
sublinear
> This tilts the skill set of the general tech market towards the One True Way making it gospel to a lot of people
That lot of people literally cannot get hired anywhere but startups because everyone else isn't so naive
> things happen downstream of these unmanaged expectations
It sounds like a metric fuckton of people need to retire or get out of the way already if they can't set expectations despite being in the exact position where they should be able to talk to multiple audiences
None of these excuses appease the investors nor the heads-down employees. Shit will have to change sooner rather than later. Many factors will make it so. This is exactly what defines a tech bubble.
chartered_stack
Sure, plenty of incompetence out there, but nobody wakes up thinking they’re doing wrong. They overpromise, they play it safe. Sometimes it works, sometimes it doesn’t.
As Picard says, "It is possible to commit no mistakes and still lose. That is not a weakness; that is life"
wartywhoa23
> CEOs across many companies behave as if they're part of some hivemind.
This hivemind is called Blackrock.
km3r
The "Ai Ecosystem" has its flaws but this article seems to just provide a description of how it is now, and how they want it to be, without a path towards there.
politelemon
It's perfectly valid to point something out as a problem. Not every post needs to provide the solution as well. Even raising awareness of the issue is helpful.
ynniv
personally i find llms to be absurdly capable, and people are just using them wrong
petesergeant
> yet nobody outside of that cohort will mention this reality ... you'll basically only hear hype ...
This doesn't match my experience talking with people outside of tech, and as such, the whole essay feels like a straw man. There definitely are some people who drank the kool-aid, but they seem like a minority? I don't live in the Bay Area though.
coffeefirst
Yeah. I’m also not in the bay, but almost every tech person I know IRL is somewhere in the ballpark of this.
That, and nontech folks tend to assume it can do all the jobs except for the ones they actually know enough about to explain why actually an LLM can’t do that reliably enough to be even slightly okay.
I think this piece makes a fair and important point about LLM hype and the need to treat it as a normal technology rather than a cult movement. The over-the-top marketing and constant “AI will change everything” drumbeat can definitely obscures the more grounded, practical ways it can be used day-to-day.
That said, every major technology wave has needed a similar level of push, hype, and momentum to reach mass adoption. The Internet existed for decades before the public knew what to do with it. AOL gave such a huge push with the “You’ve got mail”, endless free trial CDs and an almost manic push to bring it into homes for it to become the foundation of modern life. The same was true of personal computers: early machines like the Apple II or IBM PC were expensive, clunky, and had little practical software. But without the evangelism, marketing, and cultural hype that surrounded them, the entire ecosystem might never have matured. So while the AI frenzy can feel excessive, some level of over-excitement may be what turns the technology from niche tools into something broadly accessible and transformative — just as it did for the web and the PC before it.