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OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

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Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#201
post #175

”The company reports over 900 million weekly active users of ChatGPT, though only about 50 million of those are paid subscribers.” With so many free models available the ai companies are going to struggle to convert active free users to paid.

They won't try to. ChatGPT is already starting with ads, which is potentially far more profitable (as evidenced by the fact that the most profitable company of all time makes 90%+ of their revenue through ads).

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#202

Is this surprising to anyone? I thought that was a given. I'm getting de-facto unlimited use of a model more expensive than Opus 4.8 for $20 a month.

> de-facto unlimited (...) for $20 a month

Would love to hear some details on that one...

Or was that a typo and you meant the $200/mo plan instead maybe? That one I could believe, assuming no or frugal subagent use that is.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#203
Anyone remember how immensely incorrect most of HN commenters were on Uber's eventual profitability? For years we heard endless admonishment of Uber being an unsound business model. They made $10b in profit last year, $150b company at 18 P/E ratio. I would take the average HN opinion of business profitability with a grain of salt.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#204

I'm a simple guy and I don't understand the "sales and marketing" cost. I don't like these products. I have several negative opinions on them. To the extent they work and there is a customer base what marketing could you /possibly/ be engaged in? Doesn't the product sort of market itself? Or another way is this a product that you can market to expand your MAUs? It's so polarizing I can't imagine how that $5.7B is bei…

Half of the comments on this site at any given moment are from bots or shills shilling OpenAI and Anthropic. Now include Reddit, Twitter and everywhere else with a tech audience, paying for all that "organic" marketing doesn't come cheap.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#205
post #117

I'm really curious about something: how far will you go to support AI? Clearly they'll need to monetize things further, would you still use [whatever AI you are paying for] if the price was doubled? Tripled? Where would you stop and would you stop using AI altogether or would you look at competitors?

It depends on how much time it saves me and how much I make per hour generally, right?

If AI allows me to cut my time to do something in half on average or allows me to do 2x more it would be worth it to pay up to what my monthly income was before assuming my income scaled with my output.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#206

Earlier quoted context omitted.

So you’re saying if you cut all the cost centers a company would only have profit centers? If you ignore all the losses you’ll only have profits?

It's more like once you figure out how to make a really good lamp then producing lots of lamps will be profitable. But the lamps are currently suboptimal so we'll be in the red until that time.

And if you wait 12 months, someone will be giving away lamps for free that work just as well.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#207
post #175

”The company reports over 900 million weekly active users of ChatGPT, though only about 50 million of those are paid subscribers.” With so many free models available the ai companies are going to struggle to convert active free users to paid.

None of the free models offer anything even remotely close to the output you can get on a relatively inexpensive model. I think that AI is going to become just another utility people pay to stay relevant. Same as their internet, electricity or gas.

Sonnet 4.6 is free and works really well for coding for me from just pasting `tree` and `cat` output directly in the chat window on claude.ai

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#208
post #196

Is this surprising to anyone? I thought that was a given. I'm getting de-facto unlimited use of a model more expensive than Opus 4.8 for $20 a month.

I feel like I have a different $20 plan than everyone else. I have no problem hitting my 5 hour and weekly limits. Don’t get me wrong, it’s a great deal compared to API pricing, but it’s a far cry from “unlimited”.

I get about 20 minutes of work from my 5h limit with the $20 plan. It wouldn't bother me as much if codex would continue after the token bucket refills instead of waiting for me to show up and tell it to continue. I don't jump to the $100 plan because I would be in the exact same situation.

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#209
Seeing that R&D costs are the lion's share, I wonder if we are at a point where the focus can shift to improving the cost of inference.

Unless we are genuinely pushing to find AGI, at which point nothing matters, LLMs in their current form don't replace knowledge workers but are an effective force multiplier. How good is enough?

For instance, I pay about $1-2 a month for DeepSeek. It's not as sophisticated as Claude, but it still doubles my productivity as a SWE.

If Fable comes out and demands 50x the price of DeepSeek in order for Anthropic to make a profit on it, how much more productive would I be compared to my personal experience + DeepSeek? 3x? 50x?

Is it cost effective for a business to hire someone without SWE experience + Fable verses hiring someone with SWE experience and DeepSeek? When does R&D hit diminishing returns?

Re: OpenAI Losses Increased Nearly 8X in 2025, with Spending Hitting $34B

#210

Earlier quoted context omitted.

So you’re saying if you cut all the cost centers a company would only have profit centers? If you ignore all the losses you’ll only have profits?

It's more like once you figure out how to make a really good lamp then producing lots of lamps will be profitable. But the lamps are currently suboptimal so we'll be in the red until that time.

It's more like you have a business making engines, each generation of engine has eventually turned out to be profitable over its lifespan, but each generation has an exponentially increasing R&D cost and your customers will switch from the old engines to a competitor if they don't like the newest generation.

You're stuck racing against your competitors with the distinct possibility that your R&D costs will outgrow the market demand, and you can't stop because otherwise your customers will stop investing in your dead end tech and switch.

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