What’s going to happen is that OpenAI and Anthropic will ultimately fold because they can’t be profitable
OpenAI maybe because it has a consumer focus and most of their users aren’t paying, more likely they’ll restrict free use and increase pop ups to get people to sign up
Anthropic is already profitable if you take out the enormous spend they have on training, which if the bubble bursts would leave them as the number 1 ai provider, it’s also insanely in demand and has trouble keeping up with its current product, they also have several products mythos etc lined up
That will have devastating ripple effects throughout the economy
I doubt it, I think it’d be closer to liberation day tariff’s or the oil crisis, it’ll go down for a bit, many articles will be written about how this is the worst thing ever then 6 months later it’ll be back up again
As said all the major players in this game are super profitable major companies, that won’t change
Despite Lemmy doomer posting about AI every 2.8 nanoseconds it is getting better:
We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can independently complete a large fraction of software tasks that currently take humans days or weeks.
Anthropic is already profitable if you take out the enormous spend they have on training, which if the bubble bursts would leave them as the number 1 ai provider, it’s also insanely in demand and has trouble keeping up with its current product, they also have several products mythos etc lined up
First off… Why in the world would you take out the enormous spend they have on training? Training is an ongoing expense, not a startup expense. If your expenses exceed your income, then you’re not making a profit.
Secondly, they had one quarter in which they reported (using non-GAAP accounting) a very slight amount of profit. That same quarter, SpaceX gave them a massive - and temporary - discount on rented compute.
We don’t have any reason to think they’re actually profitable.
I doubt it, I think it’d be closer to liberation day tariff’s or the oil crisis, it’ll go down for a bit, many articles will be written about how this is the worst thing ever then 6 months later it’ll be back up again
You’re way more optimistic than I am. If OpenAI and Anthropic crash, there are a huge number of businesses that have built themselves around their products, and those will crash, too. And I think you’re downplaying the damage the tariffs have already done.
As said all the major players in this game are super profitable major companies, that won’t change
Again, not true. OpenAI is not profitable. Anthropic is almost certainly not profitable. Grok from SpaceX is not profitable. Google is profitable, but not from Gemini. Microsoft is profitable, but not from Copilot.
No business that is built entirely on AI is profitable. Not one.
Look… No one’s arguing that the coding tools built around AI are entirely useless. They’re not (although their capabilities are way, waaaaay over-hyped). The problem is an economic one: Serving up AI models cannot be profitable. There’s just no way, especially now that we have small AI models that can be run on local workstations, and offer similar performance to the frontier models.
Qwen, running in a well-designed harness such as OpenCode, with a carefully written AGENTS.md file, is of comparable performance to at least Claude Sonnet, and possibly Claude Opus. All without the massive, ludicrous infrastructure requirements.
How is Anthropic supposed to compete with that? Sure, you can probably get something useful out of Opus faster, but at the cost of thousands of dollars. Using Qwen and similar local models is free.
No business that is built entirely on AI is profitable. Not one.
The major players behind them all
nvidia, microsoft, google, oracle, etc are all profitable
Training is an ongoing expense, not a startup expense.
inference is profitable, training is not
training is what the majority of data centre spend is going towards
if they want to be profitable pull back the training but right now they are competing for market share
feel free to look back at all the times lemmy predicted the end of spotify because it wasn’t profitable, now they turn around and cry it’s making money
Qwen, running in a well-designed harness such as OpenCode, with a carefully written AGENTS.md file, is of comparable performance to at least Claude Sonnet, and possibly Claude Opus. All without the massive, ludicrous infrastructure requirements.
At work nobody is talking like this, everyone is talking about claude and it makes sense, it’s the best thing since vscode
nvidia, microsoft, google, oracle, etc are all profitable
NVIDIA is a hugely profitable hardware company. Not an AI model provider. They’re selling the shovels for the gold rush. And their profits will tank as soon as one of the model providers fold, though pivoting back to consumer hardware is definitely an option for them.
Microsoft is a hugely profitable business and consumer software company. Again, not an AI model provider. They have trained a couple models, but have made no profit on serving them. Their add-on “Copilot” services aren’t profitable (hence the recent enormous price hikes for GitHub Copilot, which has resulted in a bunch of companies scaling back their AI usage). All of Microsoft’s profit comes from software sales.
Google is a hugely profitable software company as well - but again, not with AI. Their model, Gemini, isn’t remotely profitable, and has similar costs to maintain as Anthropic and OpenAI see for their models. Heck, they just did a fundraising round for the first time in years to support it, which is NOT a sign of a healthy AI business.
Oracle is also profitable in software, but they’ve staked their company on hardware roll-outs supporting data centers for OpenAI. They’ve booked future profit from OpenAI owing them almost a trillion dollars. If OpenAI can’t pay that bill when the time comes, Oracle is completely fucked.
inference is profitable, training is not
When I don’t include the costs of doing business, my business is profitable! That’s silly. Inference might be very slightly in the green now when viewed by itself (although that’s deeply questionable; no actual GAAP accounting has shown it to be so). But since training is an ongoing expense that frontier model providers have to constantly engage in, their companies are - and will remain - very deeply in the red.
And without seeing GAAP accounting showing where all the money goes in support of inference, I am highly doubtful that it’s profitable.
training is what the majority of data centre spend is going towards
if they want to be profitable pull back the training but right now they are competing for market share
They can’t. Ever. Pulling back on training means allowing model drift. You need to understand that models are obsolete the moment they’re released. Their training data is set in stone. New version of Typescript ships? Some celebrity dies? Big election happens? The model not only doesn’t know about any of it, it can’t be updated. The best you can manage is throwing MCP and RAG at it in the hopes that the model will pay attention to it, but the point of diminishing returns on that arrives almost instantaneously. You have to train. Constantly.
feel free to look back at all the times lemmy predicted the end of spotify because it wasn’t profitable, now they turn around and cry it’s making money
Bad comparison. Spotify has already been a profitable, publicly-traded company for years.
And - this part’s important - I’m not Lemmy. The platform we’re having this conversation on has nothing to do with whether or not the AI model providers are profitable.
At work nobody is talking like this, everyone is talking about claude and it makes sense, it’s the best thing since vscode
Anecdotes aren’t data. But as long as we’re swapping anecdotes, here’s mine: I work with actual machine-learning engineers. They’re the ones who bag on Anthropic and OpenAI the most. And they use Qwen, Gemma, and a few other small, open-source, open-weight models. Have you looked at Hugging Face? Its community is huge, and growing daily. No one wants to be locked in to Claude Code or any other proprietary development tool when the service has been unstable and the pricing has becoming ridiculous in their desperate attempts to become profitable.
The cost for using Qwen tokens is $0, no matter how many tokens they use.
You say no one talks like this… Are you sure you’re listening?
They’ve booked future profit from OpenAI owing them almost a trillion dollars. If OpenAI can’t pay that bill when the time comes, Oracle is completely fucked.
I’d say they’re the ones most likely to get screwed on this but I just don’t see how a tech titan drawdown causes the whole world go into a great depression
This isn’t 1987 where only upper middle class people invest in stocks, everyone has a stock app on their phone these days, if jobs aren’t lost money will continue to pump because line goes up
Maybe I’m just too optimistic but if captain dickfingers giving the world a tariff hit, a global pandemic and “the worst oil crisis ever” can’t put a dent in things, I just don’t think a pullback on AI spend is going to do it (unless there’s a ton of other structural problems in the global economy that bloggers will point out how obvious it was only once it fails)
Bad comparison. Spotify has already been a profitable, publicly-traded company for years.
That doesn’t wipe my memory of listening to reddit users and lemmy users since 2012 talk about how streaming music is unprofitable and will go broke any day, to which I argued they are after market share (to which I received many a downvote, lemmy eh?)
Remember how Uber was about to go broke? Not going to lie, this literally feels like just more circlejerking about companies that are spending a lot and will go broke any day now…
5 minutes ago Lemmy was comparing AI to NFT’s and Crypto, in 2026!
Sorry if I hold a grudge and you are not as dim-witted and not good with computers as the average lemmy user, it’s hard to shake hearing the same prophecies I’ve been hearing about other high spending companies for decades
And without seeing GAAP accounting showing where all the money goes in support of inference, I am highly doubtful that it’s profitable.
You’re right but we do have a little bit of an idea:
On inference alone, both companies project profitability
Claude is now embedded in 60% of Fortune 500 companies’ productivity suites as of Q2 2025
They are very clearly in the business segment, I’ve heard nothing like this for Qwen or GLM or local hosted models, in fact when self hosting was bought up the dev’s mentioned “??? you can’t self host claude ??”
I work with actual machine-learning engineers
This is like saying I work with actual system admins, they say that Windows is terrible and that it’ll be the year of the linux desktop any day now
You need to vibe check the office and devs vs the engineers
The vibe in the office (and what I’m reading) is that claude is gold
That said I spoke to a normal person the other day and they hadn’t heard of claude at all, blew my mind
Hey, before I say anything else, I just wanted to tell you I’ve been enjoying this conversation. It’s nice to be able to disagree with someone on something without it becoming a religious war. :)
I’d say they’re the ones most likely to get screwed on this but I just don’t see how a tech titan drawdown causes the whole world go into a great depression
I don’t think it will cause a great depression, but I do think it will cause a massive recession. If you look at the S&P 500, 35% of it is tied up in AI-related stocks. If AI crashes out, that’s a truly massive hit to the domestic economy, and there are certainly going to be ripple effects throughout the world.
Honestly, the best thing the world could do right now is something a lot of countries are already scrambling to do because of Trump: Decouple their economies from the United States.
Maybe I’m just too optimistic but if captain dickfingers giving the world a tariff hit, a global pandemic and “the worst oil crisis ever” can’t put a dent in things, I just don’t think a pullback on AI spend is going to do it (unless there’s a ton of other structural problems in the global economy that bloggers will point out how obvious it was only once it fails)
Dickfingers! Excellent nickname for the orange sack of shit. But I’ll remind you of the old saying: The market can remain irrational for longer than you can remain solvent. And right now, the market is unbelievably irrational.
The valuations and market caps of these companies are completely disconnected from their profitability (or extreme lack thereof). Among all of them, only NVIDIA seems to be making actual money, and even with them there are some indications of very esoteric math being involved, too. They’re “investing” money into the AI model providers and then having the AI model providers use that money to buy NVIDIA GPUs. Then they book those sales as profit, even though it’s the same money they just invested.
It’s not something that can continue indefinitely. Either the model providers have to show that their unit economics works - by putting actual profit into actual bank accounts - or they will eventually hit a point where no matter what the funny math on their books says, they don’t have the cold, hard cash to pay their bills.
Remember how Uber was about to go broke? Not going to lie, this literally feels like just more circlejerking about companies that are spending a lot and will go broke any day now…
Maybe. But there’s a material difference between Uber / Spotify, and the AI companies. Did you ever look at the SEC filings to go public for either of them? I actually did. They had detailed plans for how to eventually achieve profitability. Uber went public in 2019, and wasn’t profitable until 2023, but they had a solid roadmap for getting to that point, and now they’re consistently profitable.
Our ability to look at profit plans is limited at the moment. The only publicly traded AI company right now is SpaceX, and their filing is… hilarious. Grok will never be profitable. Not remotely. And their filing is full of WeWork-style insanity. They don’t have anything remotely like a roadmap to profitability. Their stock price is 100% speculation. Yet it keeps managing to tick up over $170, at least for the time being.
Speaking of WeWork, I think they’re the model SpaceX, OpenAI, and Anthropic are following. The company raised $12.8 billion in financing, and ultimately reached a valuation $47 billion, mostly from investment by SoftBank - the same bank funding a lot of AI companies now, and which owns 11% of OpenAI.
But it never made profit. It never had a roadmap for profit. It never had any means of bringing in income higher than its operating costs. WeWork declared bankruptcy a few years ago.
Reddit and Lemmy were right about WeWork. So the question now is if the AI model providers are as economically unviable as WeWork always was, or if there’s somehow a path to profitability like Uber or Spotify. SpaceX’s filing doesn’t fill me with hope on that, and the fact that both OpenAI and Anthropic are delaying their own moves to go public doesn’t fill me with hope, either. It’s not the behavior of a company with unit economics that work.
Side note: None of this is to say that Claude Code or Codex or any of their coding tools are bad. I just don’t see how they can operate them profitably. If you’ve got a good product, but the only way to get companies to adopt it is to sell it at a loss, you will eventually fold.
Sorry if I hold a grudge and you are not as dim-witted and not good with computers as the average lemmy user, it’s hard to shake hearing the same prophecies I’ve been hearing about other high spending companies for decades
That’s fine. It’s actually why I mentioned WeWork as a counter-example. Because you’re right, the group-think on both sites (Reddit and Lemmy) can blind people.
On inference alone, both companies project profitability
That’s true. They project it. Using non-GAAP accounting, and without letting anyone know in detail how much computing for inference costs. Their claims resemble WeWork’s claims, pre-bankruptcy. Bluntly, I don’t believe them.
And I really have to emphasize this: Focusing on the cost of computing for inference all by itself and excluding all the other costs of the business is just crazy, even if inference when looked at by itself can be theoretically profitable.
They are very clearly in the business segment, I’ve heard nothing like this for Qwen or GLM or local hosted models, in fact when self hosting was bought up the dev’s mentioned “??? you can’t self host claude ??”
No argument on Claude being in the business segment, that is absolutely true. But at my company at least (again, this is admittedly an anecdote), the skyrocketing cost of tokens has us working on implementing local models and models on the network edge. We’re also severely restricting token budgets and having devs do as much as they can by hand.
Maybe your company hasn’t reached the point where tokenmaxxing with Claude is frowned on, but the costs are enormous. And the thing is, they have to be enormous for Anthropic to have any hope of ever recouping their losses. It’s not like Claude is a loss-leader, it’s their only product.
This is like saying I work with actual system admins, they say that Windows is terrible and that it’ll be the year of the linux desktop any day now
You need to vibe check the office and devs vs the engineers
The vibe in the office (and what I’m reading) is that claude is gold
I do. I am one of the devs in the office. My boss currently loves me, because my token cost is $0 and I still get my code written. I do most of it by hand, and some of it with Qwen running on my local system (I have a workstation with a good enough GPU to run it). I have it wired up so GitHub Copilot uses it. And I’ve been teaching other developers how to do it. Once our current hardware refresh cycle is complete, our token budget is predicted to drop to almost nothing. We’ll probably still use Claude here and there, but the bulk of our work will be doable without it.
In terms of quality, Qwen 3.6 is at about the same level Claude Opus was a few months ago. I don’t see how Anthropic can compete with that over the long term.
That said I spoke to a normal person the other day and they hadn’t heard of claude at all, blew my mind
That doesn’t actually surprise me. Claude is still a niche product when it comes to general consumers. As far as the public is concerned, AI = ChatGPT (and the annoying Google AI summary).
OpenAI maybe because it has a consumer focus and most of their users aren’t paying, more likely they’ll restrict free use and increase pop ups to get people to sign up
Anthropic is already profitable if you take out the enormous spend they have on training, which if the bubble bursts would leave them as the number 1 ai provider, it’s also insanely in demand and has trouble keeping up with its current product, they also have several products mythos etc lined up
I doubt it, I think it’d be closer to liberation day tariff’s or the oil crisis, it’ll go down for a bit, many articles will be written about how this is the worst thing ever then 6 months later it’ll be back up again
As said all the major players in this game are super profitable major companies, that won’t change
Despite Lemmy doomer posting about AI every 2.8 nanoseconds it is getting better:
https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/
The only thing that worries me is that:
https://www.cnbc.com/2025/10/14/ai-infrastructure-boom-masks-potential-us-recession-analyst-warns.html
The US economy might already be in the shitter and AI is just hiding it
First off… Why in the world would you take out the enormous spend they have on training? Training is an ongoing expense, not a startup expense. If your expenses exceed your income, then you’re not making a profit.
Secondly, they had one quarter in which they reported (using non-GAAP accounting) a very slight amount of profit. That same quarter, SpaceX gave them a massive - and temporary - discount on rented compute.
We don’t have any reason to think they’re actually profitable.
You’re way more optimistic than I am. If OpenAI and Anthropic crash, there are a huge number of businesses that have built themselves around their products, and those will crash, too. And I think you’re downplaying the damage the tariffs have already done.
Again, not true. OpenAI is not profitable. Anthropic is almost certainly not profitable. Grok from SpaceX is not profitable. Google is profitable, but not from Gemini. Microsoft is profitable, but not from Copilot.
No business that is built entirely on AI is profitable. Not one.
Look… No one’s arguing that the coding tools built around AI are entirely useless. They’re not (although their capabilities are way, waaaaay over-hyped). The problem is an economic one: Serving up AI models cannot be profitable. There’s just no way, especially now that we have small AI models that can be run on local workstations, and offer similar performance to the frontier models.
Qwen, running in a well-designed harness such as OpenCode, with a carefully written AGENTS.md file, is of comparable performance to at least Claude Sonnet, and possibly Claude Opus. All without the massive, ludicrous infrastructure requirements.
How is Anthropic supposed to compete with that? Sure, you can probably get something useful out of Opus faster, but at the cost of thousands of dollars. Using Qwen and similar local models is free.
The major players behind them all
nvidia, microsoft, google, oracle, etc are all profitable
inference is profitable, training is not
training is what the majority of data centre spend is going towards
if they want to be profitable pull back the training but right now they are competing for market share
feel free to look back at all the times lemmy predicted the end of spotify because it wasn’t profitable, now they turn around and cry it’s making money
At work nobody is talking like this, everyone is talking about claude and it makes sense, it’s the best thing since vscode
https://lemmy.world/post/48781135
When I don’t include the costs of doing business, my business is profitable! That’s silly. Inference might be very slightly in the green now when viewed by itself (although that’s deeply questionable; no actual GAAP accounting has shown it to be so). But since training is an ongoing expense that frontier model providers have to constantly engage in, their companies are - and will remain - very deeply in the red.
And without seeing GAAP accounting showing where all the money goes in support of inference, I am highly doubtful that it’s profitable.
They can’t. Ever. Pulling back on training means allowing model drift. You need to understand that models are obsolete the moment they’re released. Their training data is set in stone. New version of Typescript ships? Some celebrity dies? Big election happens? The model not only doesn’t know about any of it, it can’t be updated. The best you can manage is throwing MCP and RAG at it in the hopes that the model will pay attention to it, but the point of diminishing returns on that arrives almost instantaneously. You have to train. Constantly.
Bad comparison. Spotify has already been a profitable, publicly-traded company for years.
And - this part’s important - I’m not Lemmy. The platform we’re having this conversation on has nothing to do with whether or not the AI model providers are profitable.
Anecdotes aren’t data. But as long as we’re swapping anecdotes, here’s mine: I work with actual machine-learning engineers. They’re the ones who bag on Anthropic and OpenAI the most. And they use Qwen, Gemma, and a few other small, open-source, open-weight models. Have you looked at Hugging Face? Its community is huge, and growing daily. No one wants to be locked in to Claude Code or any other proprietary development tool when the service has been unstable and the pricing has becoming ridiculous in their desperate attempts to become profitable.
The cost for using Qwen tokens is $0, no matter how many tokens they use.
You say no one talks like this… Are you sure you’re listening?
I’d say they’re the ones most likely to get screwed on this but I just don’t see how a tech titan drawdown causes the whole world go into a great depression
This isn’t 1987 where only upper middle class people invest in stocks, everyone has a stock app on their phone these days, if jobs aren’t lost money will continue to pump because line goes up
Maybe I’m just too optimistic but if captain dickfingers giving the world a tariff hit, a global pandemic and “the worst oil crisis ever” can’t put a dent in things, I just don’t think a pullback on AI spend is going to do it (unless there’s a ton of other structural problems in the global economy that bloggers will point out how obvious it was only once it fails)
That doesn’t wipe my memory of listening to reddit users and lemmy users since 2012 talk about how streaming music is unprofitable and will go broke any day, to which I argued they are after market share (to which I received many a downvote, lemmy eh?)
Remember how Uber was about to go broke? Not going to lie, this literally feels like just more circlejerking about companies that are spending a lot and will go broke any day now…
5 minutes ago Lemmy was comparing AI to NFT’s and Crypto, in 2026!
Sorry if I hold a grudge and you are not as dim-witted and not good with computers as the average lemmy user, it’s hard to shake hearing the same prophecies I’ve been hearing about other high spending companies for decades
You’re right but we do have a little bit of an idea:
https://aiafterhours.substack.com/p/openai-vs-anthropic-the-121-billion
https://www.tradingkey.com/analysis/stocks/us-stocks/261756528-anthropic-openai-ipo-tradingkey
I didn’t just say an anecdote, I linked to this as well:
https://lemmy.world/post/48781135
Maybe even a little
They are very clearly in the business segment, I’ve heard nothing like this for Qwen or GLM or local hosted models, in fact when self hosting was bought up the dev’s mentioned “??? you can’t self host claude ??”
This is like saying I work with actual system admins, they say that Windows is terrible and that it’ll be the year of the linux desktop any day now
You need to vibe check the office and devs vs the engineers
The vibe in the office (and what I’m reading) is that claude is gold
That said I spoke to a normal person the other day and they hadn’t heard of claude at all, blew my mind
Hey, before I say anything else, I just wanted to tell you I’ve been enjoying this conversation. It’s nice to be able to disagree with someone on something without it becoming a religious war. :)
I don’t think it will cause a great depression, but I do think it will cause a massive recession. If you look at the S&P 500, 35% of it is tied up in AI-related stocks. If AI crashes out, that’s a truly massive hit to the domestic economy, and there are certainly going to be ripple effects throughout the world.
Honestly, the best thing the world could do right now is something a lot of countries are already scrambling to do because of Trump: Decouple their economies from the United States.
Dickfingers! Excellent nickname for the orange sack of shit. But I’ll remind you of the old saying: The market can remain irrational for longer than you can remain solvent. And right now, the market is unbelievably irrational.
The valuations and market caps of these companies are completely disconnected from their profitability (or extreme lack thereof). Among all of them, only NVIDIA seems to be making actual money, and even with them there are some indications of very esoteric math being involved, too. They’re “investing” money into the AI model providers and then having the AI model providers use that money to buy NVIDIA GPUs. Then they book those sales as profit, even though it’s the same money they just invested.
It’s not something that can continue indefinitely. Either the model providers have to show that their unit economics works - by putting actual profit into actual bank accounts - or they will eventually hit a point where no matter what the funny math on their books says, they don’t have the cold, hard cash to pay their bills.
Maybe. But there’s a material difference between Uber / Spotify, and the AI companies. Did you ever look at the SEC filings to go public for either of them? I actually did. They had detailed plans for how to eventually achieve profitability. Uber went public in 2019, and wasn’t profitable until 2023, but they had a solid roadmap for getting to that point, and now they’re consistently profitable.
Our ability to look at profit plans is limited at the moment. The only publicly traded AI company right now is SpaceX, and their filing is… hilarious. Grok will never be profitable. Not remotely. And their filing is full of WeWork-style insanity. They don’t have anything remotely like a roadmap to profitability. Their stock price is 100% speculation. Yet it keeps managing to tick up over $170, at least for the time being.
Speaking of WeWork, I think they’re the model SpaceX, OpenAI, and Anthropic are following. The company raised $12.8 billion in financing, and ultimately reached a valuation $47 billion, mostly from investment by SoftBank - the same bank funding a lot of AI companies now, and which owns 11% of OpenAI.
But it never made profit. It never had a roadmap for profit. It never had any means of bringing in income higher than its operating costs. WeWork declared bankruptcy a few years ago.
Reddit and Lemmy were right about WeWork. So the question now is if the AI model providers are as economically unviable as WeWork always was, or if there’s somehow a path to profitability like Uber or Spotify. SpaceX’s filing doesn’t fill me with hope on that, and the fact that both OpenAI and Anthropic are delaying their own moves to go public doesn’t fill me with hope, either. It’s not the behavior of a company with unit economics that work.
Side note: None of this is to say that Claude Code or Codex or any of their coding tools are bad. I just don’t see how they can operate them profitably. If you’ve got a good product, but the only way to get companies to adopt it is to sell it at a loss, you will eventually fold.
That’s fine. It’s actually why I mentioned WeWork as a counter-example. Because you’re right, the group-think on both sites (Reddit and Lemmy) can blind people.
That’s true. They project it. Using non-GAAP accounting, and without letting anyone know in detail how much computing for inference costs. Their claims resemble WeWork’s claims, pre-bankruptcy. Bluntly, I don’t believe them.
And I really have to emphasize this: Focusing on the cost of computing for inference all by itself and excluding all the other costs of the business is just crazy, even if inference when looked at by itself can be theoretically profitable.
No argument on Claude being in the business segment, that is absolutely true. But at my company at least (again, this is admittedly an anecdote), the skyrocketing cost of tokens has us working on implementing local models and models on the network edge. We’re also severely restricting token budgets and having devs do as much as they can by hand.
Maybe your company hasn’t reached the point where tokenmaxxing with Claude is frowned on, but the costs are enormous. And the thing is, they have to be enormous for Anthropic to have any hope of ever recouping their losses. It’s not like Claude is a loss-leader, it’s their only product.
I do. I am one of the devs in the office. My boss currently loves me, because my token cost is $0 and I still get my code written. I do most of it by hand, and some of it with Qwen running on my local system (I have a workstation with a good enough GPU to run it). I have it wired up so GitHub Copilot uses it. And I’ve been teaching other developers how to do it. Once our current hardware refresh cycle is complete, our token budget is predicted to drop to almost nothing. We’ll probably still use Claude here and there, but the bulk of our work will be doable without it.
In terms of quality, Qwen 3.6 is at about the same level Claude Opus was a few months ago. I don’t see how Anthropic can compete with that over the long term.
That doesn’t actually surprise me. Claude is still a niche product when it comes to general consumers. As far as the public is concerned, AI = ChatGPT (and the annoying Google AI summary).