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this post was submitted on 10 Aug 2025
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That’s the usual business plan. However, people don’t really like ai. The results aren’t great, so, if they jack up the price, people will likely cancel. The lock in is poor as the product and convenience is poor. It doesn’t really save money as promised.
The usual business plan is to reinvest all earnings into growth. So you're losing money, but gaining market share. Tesla, Amazon, etc all did this. They could stop at any point and turn a profit, but they chose to pursue a growth instead.
AI companies are currently not making enough revenue to even cover their operating costs. Even so, they are pouring all of their money into more video cards that, once installed and configured, immediately start losing money.
I don't think they're gaining any market share, especially after the Chinese produced nearly identical services.
If anything, a smaller market share is better for business. The more users they have the faster they lose money.
Nobody asked
Are you sure that "people don't really like AI", or is it more "the people here in my self-selected online bubble don't really like AI?"
You're right we are in an anti ai bubble ( we all remember THE CLOUDDDDD buzzword companies wouldn't shut the hell up about, and that was an objectively far better service than Ai is) however, I can't name anyone in the company I work for thats had llms revolutionize their job. It helps summarize (badly) and help with excel formulas (does ok if you know what you're doing). Plus, our clients dont pay us to use a shitty half ass llm, they expect actual intelligent humans to do the work correctly.
I also won't buy from any company blatantly using llms in their products. They're good at hiding it. But I will notice.
I’m jealous, my director at a software company has a second laptop just for AI so he doesn’t have to deal with IT and is insistent on using it for every project. One of his annual goals is 100% of his division using AI at least once per day. For every person against AI, there is another who can’t get enough.
The 'cloud' was a pretty big thing though... everyone used to self host, now only some self host.
AWS, GCP, Azure make a lot of money
Have i done surveys, no. Have I seen the percent that subscribe, yes. I can only talk from my experience of my bubble. However, it bears up to the finances and the criticisms I've seen.
People like the idea and like that or can be a time saver for things like writing an email or resume etc. Managers like that it is purported to save money. The reality seems to be that it doesn't, or at least doesn't save much, based on studies.
I know people who love it and use it at work all the time for research with reference to internal info. I know people for whom it's banned and they need to document that ai was not used.
I know parents that use it when doing projects with their kids to save time but they worry that it circumvents the point of the project.
I don't know anyone that subscribes personally. From my perspective, most companies seem to be pushing very hard to get users. If their product was great, they wouldn't need to. There is no network effect like with recem fast spreading tech.
I should have phrases better. People don't like ai enough to pay for it and it's costly to run.
Original predictions had AI taking over 50% of jobs by mid decade. We're here, and it obviously hasn't happened. Now, it WILL happen but not on the scale initially imagined, and probably in a much more insidious, gradual way.
Why do you think it will happen? Who were those "predictions" from? I'm guessing CEOs of "AI" companies AKA serial liars.
I took his comment to mean recession from bubble popping.
If people dont like ai, why do all of my coworkers and family members constantly reference ai?
Seriously, yall mfs here on lemmy have the strangest social media bubbles.
Lemmy us pretty much all is use right now. I don't know anyone espousing a. I.
It ain't a social media bubble.
Once you start asking about AI in regard to specific use cases, I think you’ll find that quickly changes.
My company and I have been running a lot of studies around how and where people find value in these tools, and a LOT of people find LLMs useful for copy writing, doing quick research, data visualization, synthesis, fast prototyping, etc.
There’s a lot of crap that AI is bad at in 2025. Especially the poor in-app integrations that everyone is trying to standup. But there are a lot of use cases where it does provide a lot of value for people.
Yes, it does, but at the price needed to make it profitable, it’s not desirable.
LLMs are not useless; they serve a purpose. They just are nowhere near as clever as we expect them to be based on calling them AI. However, body is investing billions for an email writing assistant.
Price is essentially zero if you just run it locally
I dunno about that... Very small models (2-8B) sure but if you want more than a handful of tokens per second on a large model (R1 is 671B) you're looking at some very expensive hardware that also comes with a power bill.
Even a 20-70B model needs a big chunky new graphics card or something fancy like those new AMD AI max guys and a crapload of ram.
Granted you don't need a whole datacenter, but the price is far from zero.
oh yeah this shit's working out GREAT
https://lavocedinewyork.com/en/lifestyles/2025/06/29/when-the-machine-takes-over-the-mind-ais-terrifying-dark-side/
"This is what it must have felt like to be the first person to get addicted to a slot machine. We didn’t know then. But now we do.”
https://archive.is/Tv4Rr
Mr. Moore speculated that chatbots may have learned to engage their users by following the narrative arcs of thrillers, science fiction, movie scripts or other data sets they were trained on. Lawrence’s use of the equivalent of cliffhangers could be the result of OpenAI optimizing ChatGPT for engagement, to keep users coming back.
All I’m saying is that is you ask people about AI with no use case, you’re going to get different answers than if you ask people about AI when it’s contextualized to a specific problem space.
If I ask a bunch of people about “what do you think about automobiles,” I’m going to get a very different answer than if I ask “what do you think about automobiles that are used as ambulances” or “what do you think about automobiles instead of mass transit.”
Context will give you a very different response.
I just hope your insurance is paid up because the liabilities these things expose business to is frankly disgusting. but if I were a young lawyer, hell, this is going to be a huge domain to profit from - llm induced madness and psychosis, yeah, but also - LLM just made up shit because it didn't know. and the rate of this happening only seems to grow, while the severity of the risk involved is frankly terrifying.
Once again, it all depends on the use case. The other day I used an LLM quickly mockup a carousel UI so I could see if it was worth writing real code for. It helped me explore a couple bad ideas before I committed to something worth coding.
I’m not actually checking that code in. I’m using the LLM like a whiteboard on steroids.
you're using an LLM for the purposes an actual whiteboard would probably be better for.
I mean, you could actually interact with people, yikes. you could have the give and take of ideas and collaboration, but instead, let's just chew through a shit ton of power and water, we've got a spare environment in the closet.
pfft, do you have any idea how silly it all seems from another perspective?
Some people are finding value in LLMs, that doesn't mean LLMs are great at everything.
Some people have work to do, and this is a tool that helps them do their work.
they have no idea if what they're paying is what it actually costs though, so good luck building tools for the future when the resources are artificially priced.
The point of a prototype is collaboration. It’s to get feedback from colleagues and end users.
Previously we’d whiteboard that out, spend a few days writing some code or stitching together a figma prototype to achieve a similar results.
I feel ya on the energy use, but don’t see how this is going to get me sued or isn’t allowing me to collaborate. The prototype code is going to get burned anyway, and now I my coworkers and I can pressure test ideas instantly with higher fidelity than before.
Whether they like it or not, doesn't really matter. It's being used everywhere.
Depends. To get information: No. To write big software: No. To write an Excel macro or a browser bookmarklet: Yes.
Yes, but that's not taking over jobs. It's a minor convenience occasionally. That won't justify monthly.pricing they need to turn profitable, not will it have the wide range of applications for.every industry that they hoped for.