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Comment by rossdavidh

16 days ago

"JPMorgan calculated last fall that the tech industry must collect an extra $650 billion in revenue every year — three times the annual revenue of AI chip giant Nvidia — to earn a reasonable investment return. That marker is probably even higher now because AI spending has increased."

That pretty much tells you how this will end, right there.

Nvidia invests $100bn in OpenAI, who buy $100bn of Nvidia chips, who invest the $100bn revenue in OpenAI, who buy $100bn in Nvidia chips, and round it goes. That's an easy $600bn increase in tech industry revenue right there.

Total US GDP is ~31 trillion, so that's only like 5%. I think it's conceivable that AI could result in ~5% of GDP in additional revenue. Not saying it's guaranteed, but it's hardly an implausible figure. And of course it's even less considering global GDP.

  • Yup. If you follow the links to the original JP Morgan quote, it's not crazy:

    > Big picture, to drive a 10% return on our modeled AI investments through 2030 would require ~$650 billion of annual revenue into perpetuity, which is an astonishingly large number. But for context, that equates to 58bp of global GDP, or $34.72/month from every current iPhone user...

    • > or $34.72/month from every current iPhone user...

      As a current iPhone user, I'm not signing up for that especially if it is on top of the monthly cell service fee.

      I do realize though that you were trying to provide useful context.

      49 replies →

    • $650bb / ($34.72 * 12 months) = 1.56 billion users.

      That's far larger than the population of the USA (unclear to me if that 650bb number is global or USA only) but by sheer scale this is assuming that these companies can collect that fee from a global customer base - including users in developing economies, EU, China, etc. and after the middleman fees are accounted for.

      The comments in this thread seem to be thinking within the context of 'the poorest in their nation'. This calculation assumes collecting this fee from among 'the poorest in the world'.

      Sure, 1.56bb users could also be interpreted as 'the wealthiest 20% of the world'. But the tail is especially long on this curve given how wealth is concentrated in a small percentage of the global population (1% of users have 50% of wealth).

      1 reply →

    • Personally I would be astonished if LLMs percolating through the global economy doesn’t give a 50bp bump from here on out.

      Even if scaling hit a wall, commoditizing what we have now would do it. We have so much scaffolding and organizational overhang with the current models, it’s crazy.

      1 reply →

  • It's conceivable to us working in white collar knowledge jobs where our input and output is language. Will it also make 5% more homes built by a carpenter?

    • It might provide cover to lay off more than 5% of us (the LLM can create a work-like text product that, as far as upper management can tell, is indistinguishable from the real thing!), then we will have to go find jobs swinging hammers to build houses. Well, somebody’s got to do it.

      4 replies →

    • That seems pretty reasonable, yes. That is like asking if putting a low-cost Ops Research specialist in every company could make a 5% difference in operations - yes it could. Making resource-efficient decisions is not something that comes naturally to humans and having a system that consistently makes high quality game-theoretic recommendations would be huge.

      Bunch of tiny companies would love to hire a mathematician to optimise what they are doing to get a 5-10% improvement. Unfortunately a 5-10% improvement in a small business can't justify the cost of hiring another person, and good mathematicians with business sense and empathy are a rare commodity.

      13 replies →

  • Have you ever seen US GDP go up 5% yearly for several years?

  • It is not a hardly implausible figure given the wide range of human economic activity, that's a common flaw in economic thinking when small percentages of huge numbers seem realistic ("my business plan is modest and will achieve a tiny 0.01% of the global market to become one of the biggest companies in the world, very plausible")

  • So for that GDP gotta show growth of over 5% extra to other growth sources (so total yearly growth will be pretty high). I doubt this will materialise

  • It's plausible 5-10 years from now. I believe the entire AI revenue in 2025 was like $50B. It's not going to 10x in a year or two.

  • I’m sorry, but 5% of GDP is an absurd figure. You’re saying $1 out of every $20 that does anything in our economy should be on AI? That seems insane to me.

  • I love HN, you can't get stuff like this anywhere else, the DKE from posters here - you can't get it anywhere else!

The future is not looking bright at all....

I only have a meme to describe what we are facing https://imgur.com/a/xYbhzTj

  • As someone in the UK for whom that link is blocked, I wonder if that meme is doubly apt.

  • > The future is not looking bright at all....

    The tech industry going through a boom and settling back down at a higher place than before isn't the end of the world. They all start merging together soon.

    • I am more afraid if AI will actually deliver what CEOs are touting. People that are now working will be unemployable and will have to pivot to something else, overcrowding these other sectors and driving wages down.

      If that comes to pass you will work the same or more for less money than now.

      Basically jump back to a true plutocracy since only a few people will syphon the wealth generated by AI and that wealth will give them substantial temporal power.

      11 replies →

    • There has never been an industry that does that consistently (that wasn't government subsidised at least).

      We got lucky with the dotcom bubble.

      There's no guarantee of anything, and it's totally possible for the industry to collapse and stay that way.

      1 reply →

It tells you that 500 million people will be paying $60-$80/mo for AI. Something they find as indispensable as a cell phone or internet bill.

The numbers actually work really well, (un)fortunately.

  • I don't know how you can write down those numbers and come to the conclusion they sound reasonable at all. Corporations literally can't give this trash away for free without consumers being unhappy about it (eg. the Copilot malware infesting every aspect of Windows). ChatGPT had 800m MAU at one report, but that's a chat interface and free. Do you really believe over half of those users are going to convert from "free" to paying $60/mo for access to the chat interface, when all potential applications for actually improving their lives are failing badly? I think you are out of touch with the finances of non-tech-indsutry workers if you think they will.

    • > I don't know how you can write down those numbers and come to the conclusion they sound reasonable at all.

      Half this board is in the most hyped echo chamber I’ve ever seen.

    • > ChatGPT had 800m MAU at one report, but that's a chat interface and free. Do you really believe over half of those users are going to convert from "free" to paying $60/mo for access to the chat

      Even if these things worked great for everyone, the percent of free uses who convert to paid users is low single digits per cent. For OpenAI to have any chance of breaking even in the consumer space, they need to develop an ad biz that makes around 20-25% of G does. That's a tall order in that G doesn't make good dough from search anymore as SERP page clicks are down 80% with AI summaries being good enough for most.

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    • Just like all feemium, it’s supported by power users.

      I pay for gpt myself, and my work pays for Copilot, GPT, Claude, cursor, Glean, and other enterprise tools. And we make enterprise tools on top of AI that our customers pay extra for.

      Averaging the revenue over headcount isn’t the right model, anymore than it would be for RIOT games or YouTube.

    • I don't know a single person in my (non-tech!) life that doesn't use AI, shy of toddlers and geriatric people.

      The famous MIT study (95% of AI initiatives fail, remember that one?) actually found that pretty much every worker was using AI almost daily, but used their personal accounts (hence the corporate ones not being used).

      If you are brand new to the tech world, and this is your first new product cycle, the way it works is that there is a free-cool-we're-awesomely-generous phase, and then when you are hooked and they are entrenched, the real price comes to fruition. See...pretty much every tech start-up burning runway cash.

      Right now they are getting us hooked, and like the dumbasses consumers are, they will become totally dependent and think it will stay this cheap.

      6 replies →

  • No, they won't be. Inference costs will continue to drop, and subscription prices will follow as AI is increasingly commoditized. There are 6 different providers in the top 10 models on openrouter. In a commoditized market, there will be no $60/month subscriptions.

  • 500,000,000*80=40,000,000,000 40,000,000,000/650,000,000,000=0.06

    If I understood you correctly and my math is correct, your suggestions only cover 6% of 650 billion, the news is suggesting AI companies need more than 10x more. So either it's 5 billion people paying 60-80, or 500 million people paying 600-800/month, or something in between + a little extra.

  • fair enough, but the consumer is already stretched. So where is this $60-80 per month X 500MM consumers coming from?

    • Consumer spending is strong and growing, don't listen to dregs milking upvotes on the internet, people will easily come up with 4-5 hours of minimum wage pay in a month to cover the cost of the thing they use many times a day.

      4 replies →

  • Wait how? Show your work. I still see at least a $600bn gap.

    > Something they find as indispensable as a cell phone or internet bill.

    Source?

> "must collect an extra $650 billion in revenue every year" paired with the idea that automating knowledge work can cause a short-term disruption in the economy doesn't seem logical to me.

I find it funny that Microsoft is scaling compute like crazy and their own products like Copilot are being dwarfed by the very models they wish to serve on that compute.

If 1 or 2 of the 5 big spenders starts having big losses, things will be interesting. Their market caps will be a fraction of the current overinflated values.

Meanwhile Apple is only spending 1 billion a year to use Google's models.

It sounds about right. Coffee's global revenue is $500b/yr. I can totally imagine AI brings twice or more than that.

  • That's not unreasonable, but if you can't do it without losing money then there's going be a problem.

    The problem isn't that AI/LLMs can't be useful or generate revenue, the problem is still the cost. We're no where near production ready AI, it can sort of do coding and some medical stuff, but we're not at a level of technology where the potential is fully realized. How much are investors willing to pour into more research?

    We looking at OpenAI contemplating ads and erotic chatbots. That's not a successful business who have those ideas for profit generation.

    Revenue is pointless without eventual profit.

> JPMorgan calculated last fall that the tech industry must collect an extra $650 billion in revenue every year

If you take half the software engineers in the US and replace them with AI, you're halfway there. And why stop with software?

There's a reason for the fervor and excitement of these companies.

The positive outlook is that you don't fire folks - they have even more work to do. But we'll see how it pans out in practice.

  • But who's going to be buying any of these products if everyone is out of a job? Other rich people?

    Sure I assume there's a good market there, luxury yachts exist after all, but what is a company like Netflix going to do when people are too poor to even afford the streaming services that cost 10 bucks a month?

    Not to get conspiratorial, but the only logical thing for me here is that They want as many of the plebs dead as possible so that the remainder of us are beholden to them and their money, once they own all the AI factories.

It's crazy to me how many flags are being thrown in this investment spree. Repeating the same mistakes as before (2000). Big companies will be hit hard when they can't show for what they spent shareholders money on. The run will be large and impactful.

  • If you analyze what's happening right now in the tech industry, you can't help but to think of something deeper than what's being talked about in plain sight. There is a clear panic amongst the large tech firms. the root cause of the panic is still unclear, simply saying these companies want to be the first in this new revolution isn't enough to draw conclusion. Amongst the top tech firms there still sits the original founders whom as we all know changed the way we live life today. Saying they are misunderstanding what's happening right now and they're are foolish, is to simple of an understatement. They of all people in the world would know it's a bad idea to go all in, in this manner. The underlying competing nature of this whether it has to do with China or other competing markets are not being talked about, and not just that " what exactly is the strategy here?"

    • > They of all people in the world would know it's a bad idea to go all in, in this manner.

      Or this kind of financial crash is exactly what they want. If they can drive the markets to failure, only the largest companies can hold on - and acquire more of the failing companies in the process.

      1 reply →

  • > Repeating the same mistakes as before (2000).

    The issue is that every company in a position to do so is trying to stake a claim in a new market. Not every company will win. No-one has a surefire way of identifying "mistakes" ahead of time.

    What alternative do you think would work better, short of central planning?

The question is, how much are they willing to pay for the kind of surveillance and control that they hope this data processing will get them?

The economics are not all in profit.

I read "Devil Take the Hindmost: A History of Financial Speculation" last year, and the current AI bubble is like getting a front row seat to the next edition being written.

The really stupid bubbles end up getting themselves metastasized into the public retirement system, I'm just waiting for that to start any day now.

  • > The really stupid bubbles end up getting themselves metastasized into the public retirement system, I'm just waiting for that to start any day now.

    Not sure what you mean exactly but every single 401k is tied into this.

> That pretty much tells you how this will end, right there.

It seems so blatantly obvious, yet nobody wants to listen, and practically everyone knows better. We live in interesting times.

The question is not "is it a bubble". Bubbles are a desirable feature of the American experiment. The question is "will this bubble lay the foundation for growth and destroy some value when it pops, or will it only destroy value"

https://www.oaktreecapital.com/insights/memo/is-it-a-bubble

  • Pretty good article until the bizarre post-script where they fall back on the tired "people derive meaning from their work" for why UBI is bad.

    • Meaning or not, UBI doesn't work because the math doesn't work.

      > bizarre

      It isn't bizarre at all. Without work people devolve into playing video games and smoking pot in their mom's basement.

      I remember summer vacations from school. It was great for a while, but soon I was looking forward to getting back to school.

      36 replies →

    • UBI doesn’t mean people don’t work. It means work is partially decoupled from basic needs.

      People would work for two reasons. One is to make extra money and afford a lifestyle beyond what UBI provides. The second is to… do things that are meaningful. If people derive meaning from work then that’s why they’ll work.

      Some people will just sit around on UBI. Those are the same people who sit around today on welfare or dead end bullshit jobs that don’t really produce much value.

      I’m not totally sold on UBI but there’s a lot of shallow bad arguments against it that are pretty easy to dismiss.

    • governments will collapse before we are at a moment where UBI is needed. Billionaires and companies hardly pay any tax and if white collar jobs die down, there is no guarantee that government will even have money to wipe their butt.

  • What can we use fields of GPUs for next?

    • AI, obviously! A bubble doesn't mean demand vanishes overnight. There is - at current price points - much more demand than supply. That means the market can tolerate price hikes whilst keeping the accelerators busy. It seems likely that we're still just at the start of AI demand as most companies are still finding their feet with it, lots of devs still aren't using it at all, lots of business workflows that could be automated with it aren't and so on. So there is scope for raising prices a lot as the high value use cases float to the top, maybe even auctioning tokens.

      Let's say tomorrow OpenAI and Anthropic have a huge down round, or whatever event people think would mark the end of the bubble. That doesn't mean suddenly nobody is using AI. It means they have to rapidly reduce burn e.g. not doing new model versions, laying off staff and reducing the comp of those that remain, hiking prices a lot, getting more serious about ads and other monetized features. They will still be selling plenty of inferencing.

      In practice the action is mostly taking place out of public markets. We won't necessarily know what's happening at the most exposed companies until it's in the rear view mirror. Bubbles are a public markets phenomenon. See how "ride sharing"/taxi apps played out. Market dumping for long periods to buy market share, followed by a relatively easy transition to annual profitability without ever going public. Some investors probably got wiped along the way but we don't know who exactly or by how much.

      Most likely outcome: AI bubble will deflate steadily rather than suddenly burst. Resources are diverted from training to inferencing, new features slow down, new models are weaker and more expensive than new models and the old models are turned off anyway. That sort of thing. People will call it enshittification but it'll really just be the end of aggressive dumping.

      14 replies →

    • Anyone who regularly tries to rent GPUs on VPS providers knows that they often sell out. This isn't a market with lots of capacity nobody needs. In the dot.com bubble there was lots of dark fiber nobody was using. In this bubble, almost every high-end GPU is being used fully by someone.

    • We can use the GPUs for research (64-bit scientific compute), 3d graphics, a few other things. We programmers will reconfigure them to something useful.

      At least, the GPUs that are currently plugged in. A lot of this bullshit bubble crap is because most of those GPUs (and RAM) is sitting unplugged in a warehouse, because we don't even have enough power to turn all of them on.

      So if your question is how to use a GPU... I got plenty of useful non-AI related ideas. But only if we can plug them in.

      I wouldn't be surprised if many of those GPUs are just e-waste, never to turn on due to lack of power.

      11 replies →

    • It’s too bad they’re all concentrated in buildings, having been hovered up by the billionaire class.

      I would love to live in the world where everyone joins a pool for inference or training, and as such gets the open source weights and models for free.

      We could call it: FOSS

  • > Bubbles are a desirable feature of the American experiment.

    No they're not. You don't get to decide what other people desire.

  • > Bubbles are a desirable feature of the American experiment

    Wild speculation detached from reality which destroys personal fortunes are not "a desirable feature."

    It's only a "desirable feature" to the nihilistic maniacs that run the markets as it's only beneficial to them.

    • > Wild speculation detached from reality which destroys personal fortunes are not "a desirable feature."

      This is not the definition of a bubble, and is specifically contrary to what i said.

      A good bubble, like the automobile industry in the example I linked, paves the way for a whole new economic modalit - but value was still destroyed when that bubble popped and the market corrected.

      You may think its better to not have bubbles and limit the maximum economic rate of change (and you may be right), but the current system is not obviously wrong and has benefits.

    • The trouble is, you can only tell what was "detached from reality" after the fact. Real-world bubbles must be credible by definition, or else they would deflate smoothly rather than growing out of control and then popping suddenly when the original expectations are dashed by reality.

    • > It's only a "desirable feature" to the nihilistic maniacs that run the markets as it's only beneficial to them.

      ... and which forces do you think are the core concept of "the American experiment"?

I run the numbers on hyperscaler AI capex and the math is not going to work out.

With these assumptions:

– Big 4 keep spending at current pace for 3 more years

– Returns only start showing after aprox 2 years

– Heavy competition with around 20% operating margin on AI and Cloud

– Use of 9% cost of capital

This is the current reality:

AWS aprox $142B/yr

Azure aprox $132B/yr

Google Cloud around $71B/yr

Combined its about $330B to $340B annual cloud revenue today

And lets says Global public cloud market of $700B total today.

To justify the current capex trajectory under those assumptions, by year 3 the big hyperscalers would need roughly $800B to $900B in new annual revenue just to earn a normal return on the capital being deployed.

That implies combined hyperscaler cloud and AI revenue going from: $330B today to $1.2T within 3 years :-))

In other words...Cloud would need to roughly do 4× in a very short window, and the incremental revenue alone would exceed the entire current global cloud market.

So for the investment wave to make financial sense, at least one of these must be true:

1 Cloud/AI spending globally explodes far beyond all prior forecasts

2 AI massively increases revenue/profit in ads, software, commerce and not just cloud

3 A winner takes all outcome where only 1 or 2 players earn real returns

4 Or a large share of this capex never earns an economic return and is defensive

People keep modeling this like normal cloud growth. But what we have is insanity

  • Azure revenue is growing at 39% year over year. If Microsoft can sustain this growth, in four years Azure will be ~3.73x its current size. This is of course very difficult, but you really don’t need a deus ex machina to hit 4x growth under your assumptions.

    • The issue in the late-90s was all the investment created a lot of real revenue for telecoms and other companies. Even though there were a lot of shenanigans with revenue, a lot of real money was spent on fiber and tech generally.

      But the real money was investment that didn’t see a return for the investor. The investments needed to have higher final consumption (such as through better productivity or through displacing other costs) to pay back the investment.

  • > That implies combined hyperscaler cloud and AI revenue going from: $330B today to $1.2T within 3 years :-))

    You’re ignoring the fact that gaming is going to the cloud.

    That industry is bigger than Hollywood.

    Desktop computers will invariably follow.

    The RAM shortage will drive the transition.

    For instance, my wife uses her personal laptop about four days a year.

    People like that won’t be buying personal desktops or laptops, five years from now. The RAM shortage will drive a transition into thin clients.

    I already see it with our kids. They use an iPhone, unless they need to type. Then they use an iPad with a BT keyboard.

    • The RAM shortage is extremely temporary. It’ll last as long as it takes for new capacity to come online. RAM shortages and price spikes have happened many times before.

      Eventually China will catch up in EUV fabrication and flood the market with cheap silicon. When that happens a terabyte of RAM will cost what 128gb costs now.

    • Cloud gaming is crap and any actual gamer will tell you that. The niche of gamers casual enough to not care about playing over network latency but serious enough to pay real money for cloud gaming is microscopic.

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    • Even if gaming goes to the cloud, how are they going to run the massive existing library of video games on the dedicated AI inference hardware that everyone is buying right now? Seems like that pivot would require even more spending.

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    • What amount of the gaming industry do you think will go to AI providers and not game developers?

      You think we'll replace gaming and desktop computers into the cloud in the timeline of the poster above (2-4 years?)

      Just not realistic.

    • That may be true, but all of this can be done today without the massive capex and without “AI”.