alt Hacker NewsNo signs of AI payoff outside the tech sector
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Tell that to legal firms and patent guys
Ye, it was easiest to steal all of stackoverflow and sell it back to you.
The car dealership I bought a vehicle from is using AI for all appointments, and it is quite highly functional, voice operated.
Suggest Apollo is not doing a good job of measuring improvements since these are soft costs and harder to measure. But, instead of saying that, they are just repeating a low IQ take.
Payoff doesn’t matter. The future potential (payoff) is what matters.
Pretty much the same thing inside tech, I love AI for my personal projects but the productivity return in my dayjob has been slightly negative so far.
Let's be clear: there are no signs of payoff within the tech sector, either. The supposed productivity gains are minimal to non-existent, unless you completely give up on quality. And that's the best case, the one they've put the most effort into! LLMs do not deliver what they promise, it is very clear based on real world experience.
You won't get magical productivity gains from a workforce heavily conditioned to following orders and a pre-packaged process (the Henry Ford model and its various bastardizations). In order to extract value from an LLM, you have to be able to think and ideate so that the inputs are of higher quality.
It should be of zero surprise that the rush into AI has yielded limited results (if we're honest, both in and outside of tech)—you won't get a bunch of artists or creative thinkers out of a pliant, ironically agentic labor force. That's why most people say "it doesn't work": it's because they lack the skills and knowledge to use it properly (but corporations want to delude themselves into thinking they have a genie in a lamp).
Just a thought, but I kind of think this undersells just how important technology is or eventually becomes in almost every other economic sector.
Which is to be expected. Anyone who makes a tool without targeting specific use cases is really just making it for themselves.
What's embarrassing is how many people are clueless about where AI is going. The tech sector is one giant echo chamber, so it thinks whatever it makes will be a miracle cure. Everyone outside the echo chamber has no idea what it is/how it works, so they're just hoping it's the miracle cure the echo chamber keeps saying it is.
In reality, AI is just a minor improvement in productivity that doesn't solve hard problems. It does what we could already do before, a little faster & cheaper, without determinism/trust. It's a bigger, faster truck, but somebody still has to drive it, find a place to park it, spend more on gas, etc. It may be able to "think", but it won't replace humans until it can accept liability.
It's almost as if profit isn't directly related to your jira board.
I would expect new disruptors to eat the lunch of the old, but that's slow.
I think this is misreading the data.
We are functionally in a recession. The only way this isn't true is because of AI investment [1]. Additionally, GDP itself is flawed because it is propped up by housing, specifically imputed rent [2]. Another ticking time bomb is the $4T private equity backlog [3].
The real product of AI of labor displacement and wage suppression.
So while this article sees profits flat outside of the Mag 7, it should really be in decline to being flat is actually an improvement (IMHO).
We're not producing anything anymore. All we're doing is driving up revenues on inelastic demand on things like food, housing, electricity and health care. That's all PE is. And that's all our economy does now.
I really think people are underestimating just how close to breaking point our society is.
[1]: https://uhero.hawaii.edu/would-we-be-in-a-recession-without-...
[2]: https://www.taxresearch.org.uk/Blog/2023/02/14/10-or-gdp-is-...
It's too early. There was a time where economist could not find productivity gains from PC products. I think I remember reading about it in the early 2000s over a decade after computers were common in business. Part of it is that companies aren't quick to throw what's work for tech that hasn't fully proven itself.
AI productivity gains are coming make no mistake about it. My guess is that we'll see them within the next 5 years.
> AI does not understand accountability, trust, culture, unwritten rules, ethical trade-offs or fairness, all of which shape reputational risk and ultimately drive revenue growth and profit margins.
This reminds me of the book The Redemption of Time. An alien society incapable of lying has no other way to understand deception than to study an actual human mind. The different ways that we are capable of thinking can be so hard to capture in an artificial system.
Related:
Only 13% of companies see real returns from AI, survey finds - https://news.ycombinator.com/item?id=50207881 - October 2026
For AI to be properly integrated into businesses it would need to be enabled by people who would shortly after become irrelevant.
This may well remain a "true communism/socialism has never been tried" situation.
Or inside for that matter
> the technology has delivered zero financial payoff to corporate America outside of tech.
I wonder if the argument cannot be made that it has delivered little payoff in tech as well - in terms of actual stable revenue vis-a-vis the immense capital investments, the deep loans, the circular commitments etc.
There is two ways of looking at this - one is that things are overhyped.
The other is that there is so much more value to be extracted before this bubble burst.
Not sure which I believe, objectively. Subjectively, inside of tech, it certainly feels like the former.
Those with the payoff might not be sharing.
“Internet may be just a passing fad as millions give up on it”
lol, you are, sooooooo, blind, and iditic. Enjoy each day, then we, you are dead, vaporised, or some life shit. What a load of bollocks. Full of shit. POinltess drivel.
I've been doing workflow automations for many organizations for the last two years, and here is what I see:
1. every business unit and department was neglecting a best practice due to lack of investment in their organization. it has always been that way for decades and always will be that way because it isn't economically viable for it to be any other way. the workflow automations and agents we create act as digital workers that either do that neglected part, or let the rest of the organization do that neglected part.
2. the whole company always starts the year off with a bunch of goals, and by Q3 most of them are cancelled. now less of them are cancelled.
both factors mean that anyone just looking at "worker productivity" or "did we save money" is going to get the answer of no. everything is costing you the same, or the AI itself is costing you more. whatever contract I'm working under is definitely going to cost you more, if you don't cancel all those enterprise SaaS seats we told you to cancel.
I see a path to savings, but I don't think that's necessarily the metric to focus on. you need to look at the whole corporate structure, why are you still doing certain things, because those pressures will just make the org do more things because nobody is empowered to say "wait, maybe this is dumb"
Funny to see some people compare the AI rollout to the industrial revolution.
The industrial revolution produced physical goods at scale, which eventually gave regular people access to things they could not have before.
AI produces intellectual labor at scale. Regular people do not need mass-produced content in their lives: there's already too much music, too much TV, too much software that only seems to get worse year after year.
Who needs mass-produced intellectual labor? The owning class. This is the only population segment that stands to benefit from this revolution. It's the reason every tech CEO is trying to shove AI down everyone's throats. It's the reason they're resting their feet on the table while everyone below them is starting to panic about the future of their careers.
I don't believe we will see compounding acceleration of anything other than spam and enshittification in this AI-laden world. This is not technology for building futures we can barely dream of: it's a gold-plated gift to the oligarchy and a fuck-you to everyone else.
great. let's pop this bubble so everyone panicking can leave us devs alone with our tools. GLM 5.3 is good enough if anthropic and openai go under (which they wont).
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Yeah because vibe coding has only really worked for 3 months. Give it a chance!
It'll probably be a couple of years before most companies even realise it's an option.
Trickle-down AI economics here we go! Suuurely it will work this time, any minute now don't worry about it.
I think we are struggling to achieve payoff within the tech sector.
There have been wins with the customer facing side of the business, but the development team seems to be the biggest problem right now despite the direct & obvious applicability of these tools. I know they aren't a special unicorn edge case because I was very rapidly solving their issues before they stopped handing me things that revealed the lethargy.
Within the sector where these tools definitely work, the biggest barrier to effective adoption is figuring out a way to undermine the various ideological high grounds. I have found the most effective argument to untangle this knot to be something approximating:
Challenge:
"Why should I adopt or help to implement technology that might eventually replace my job?"
Response:
"Because refusing to won't protect your job. It puts everyone's job at risk."
It doesn't matter if you protect your job (not using AI) if the entire company goes to the bottom of the ocean as a consequence. The neat thing about this is that your job is part of the set known as "The Company" and if that ceases to exist, so does your job. Good luck suing a dissolved entity for unemployment or whatever. There is enough competition in most markets to punish anyone who thinks they can win on virtue alone.
We're a little early to be calling the game yet.
The incredible improvements have only been over the last 9 months or so. Business, especially disrupting entire job functions, takes much longer than that. As is typical with this type of change, it'll be slow until a tipping point, then FOMO will hit.
Well, writers can use it to speed up the draft review process. Not a big financial deal, but it's a 'payoff' for the craft.