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  1. Home
  2. /Discussion
  3. /OpenAI needs to raise $207B by 2030 so it can continue to lose money
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  2. /Discussion
  3. /OpenAI needs to raise $207B by 2030 so it can continue to lose money
Last activity 10h agoPosted Nov 25, 2025 at 11:06 PM EST

Openai Needs to Raise $207b by 2030 So It Can Continue to Lose Money

cebert
3 points
4 comments

Mood

skeptical

Sentiment

negative

Category

news

Key topics

AI Funding
Openai
Tech Finance
Debate intensity60/100

Discussion Activity

Light discussion

First comment

39s

Peak period

5

Hour 1

Avg / period

2.6

Key moments

  1. 01Story posted

    Nov 25, 2025 at 11:06 PM EST

    22h ago

    Step 01
  2. 02First comment

    Nov 25, 2025 at 11:07 PM EST

    39s after posting

    Step 02
  3. 03Peak activity

    5 comments in Hour 1

    Hottest window of the conversation

    Step 03
  4. 04Latest activity

    Nov 26, 2025 at 10:28 AM EST

    10h ago

    Step 04

Generating AI Summary...

Analyzing up to 500 comments to identify key contributors and discussion patterns

Discussion (4 comments)
Showing 21 comments
intelec1
22h ago
1 reply
https://youtu.be/4cATdt1syxQ
cebertAuthor
22h ago
That YouTube video you posted nothing to do with this article and is AI generated slop.
Hannah203
22h ago
1 reply
The numbers in the article are huge. It really shows how expensive this stage of AI development has become. I’m curious how long companies can keep operating at that level of burn.
nolok
17h ago
The tech giants have a lot of cash-flow to burn, and at this point it's better for their investors that they do rather than admit it was a loss or the stock value would fall.

It might be a huge pile of cards but this time they have the coffers for it, if/when it falls it will be from one of the fake it till you make it companies like openai that are built on promises (and frankly their revenue numbers are no where near their promised spend so they seem dependant on more and more deals)

aurareturn
22h ago
4 replies

  The team also assumes LLM companies will capture 2 per cent of the digital advertising market in revenue, from slightly more than zero currently.
This seems quite low. Meta has 3.5 billion users. ChatGPT is at 1 billion so far. By 2030, let's just stay ChatGPT reaches 2 billion years or 57% of Meta's current users.

I'd like to think that OpenAI's digital ad revenue should reach 10% by 2030 an then accelerate from there. In my opinion, the data that ChatGPT has on a user is better than the inferred user data from Instagram/FB usage. I think ChatGPT can build a better advertisement profile of each user than Meta can which can lead to better ad targeting.

This doesn't account for OpenAI's other ambitions such as Sora app.

Hey Sam Altman or OpenAI employee, if you are reading this, I think you should buy the North American version of TikTok if the opportunity presents itself. The future of short videos will be heavily AI generated/assisted. Combine Tiktok's audience with your Sora tools and ChatGPT data and you got yourself a true Instagram competitor immediately. If the $14b sales price of US Tiktok is real, that's an absolute bargain in the grand scheme of things.

gizajob
18h ago
1 reply
But this would fill TikTok with Sora garbage and kill it.
aurareturn
18h ago
2 replies
Tiktok has an algorithm that shows/hides content based on engagement. So any garbage wouldn't make it to the top.
s1mplicissimus
17h ago
... unless someone pays Tiktok to show the garbage, because it's ads
sigmoid10
17h ago
From what I've seen, tons of garbage floats to the top of average non technical users. I'm not sure that Sora slop would be much worse than daily mail hate news slop. Or jihadist preacher slop. Or russbot misinformation slop. There's even tons of AI voiceover slop already. Sora will just be a small step towards the dead internet.
sharts
19h ago
no
saubeidl
18h ago
Please don't make the dystopian hypnosis box any more dystopian.
honzaik
16h ago
this comment feels so eerie as I am currently reading Zuboff's "The Age of Surveillance Capitalism," which itself is interesting to read now since its written before the huge AI leap.

Also, it reminded me of the following quote, mentioned in the book, from Langdon Winner

The changes and disruptions that an evolving technology repeatedly caused in modern life were accepted as given or inevitable simply because no one bothered to ask whether there were other possibilities.

budududuroiu
19h ago
1 reply
When the cartelisation of the AI providers will happen, they’ll come back and demand an arm and a leg
jabberwhookie
18h ago
A cartel of last entrants can create a much smaller debt problem for themselves to ruin anyone who wasted time in the industry until now.
pickledoyster
16h ago
2 replies
This is based on HSBC's model, which assumes some incredible numbers, such as: > user numbers on an S-curve that by 2030 reaches 3bn, “equivalent to 44 per cent of the world’s adult population” ex China.

Unfounded statements (outside of language tasks, fwiw), such as: >LLM subscriptions will become “as ubiquitous and useful as Microsoft 365”, HSBC says.

As well as this bold claim about OAI's potential to double the conversion rate: >It models that by 2030, 10 per cent of OpenAI users will be paying customers, versus an estimated 5 per cent currently.

Does not include a major player in its market share analysis at all: >Google is excluded entirely

And, still, it suggests that: > OpenAI is expected to still be subsidising its users well into next decade

Fascinating.

killingtime74
15h ago
1 reply
That's what you get when you get an intern to write a research report. Or the intern getting an AI to do it
cebertAuthor
14h ago
I wonder if the intern uses ChatGPT.
saxenaabhi
14h ago
2 replies
Still, it's only 40bn per year divided by 3b so equal to around 15$/person/year

Isn't that super cheap? Just think of the revolutionary impact it would have on education, health, work etc.

I don't understand how anyone can call it a bubble.

monooso
10h ago
> I don't understand how anyone can call it a bubble.

Perhaps because in this scenario, even after (only) an additional $40bn a year for the next 5 years, OpenAI will still be losing money.

bparsons
10h ago
I think the question is whether people are willing to pay for an LLM when there are equivalent or good-enough free competitors available.

One could argue that LLMs will change the world, but that doesn't guarantee that LLM companies will capture any of that value.

The additional rub is that the paying power users are arguably costing these companies more money than the free users.

cebertAuthor
22h ago
https://archive.ph/9b8Ae
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ID: 46054092Type: storyLast synced: 11/26/2025, 4:13:11 AM

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