How AI Conquered the US Economy: A Visual FAQ
98 comments
·August 7, 2025OtherShrezzing
onlyrealcuzzo
1. People aren't going to take on risk and deploy capital if they can't get a return.
2. If people think they can get an abnormally high return, they will invest more than otherwise.
3. Whatever other money would've got invested would've gone wherever it could've gotten the highest returns, which is unlikely to have the same ratio as US AI investments .
So while it's unlikely the US would've had $0 investment if not for AI, it's probably even less likely we would've had just as much investment.
jlarocco
> it's probably even less likely we would've had just as much investment.
I doubt it. Investors aren't going to just sit on money and let it lose value to inflation.
On the other hand, you could claim non-AI companies wouldn't start a new bubble, so there'd be fewer returns to reinvest, and that might be true, but it's kind of circular.
jayd16
Why is it "unlikely" that the alternative is not US investment by these US companies?
The big US software firms have the cash and they would invest in whatever the market fad is, and thus, bring it into the US economy.
metalliqaz
> 1. People aren't going to take on risk and deploy capital if they can't get a return.
This doesn't seem to align with the behavior I've observed in modern VCs. It truly amazes me the kind of money that gets deployed into silly things that are long shots at best.
disgruntledphd2
When you think about all of VC being like 1% of a mostly boring portfolio it makes more sense (from the perspective of the people putting the money in).
biophysboy
Its also not fair to compare AI firms with others using growth because AI is a novel technology. Why would there be explosive growth in rideshare apps when its a mature niche with established incumbents?
dragontamer
I think the explosive growth that people want is in manufacturing. Ex: US screws, bolts, rivets, dies, pcbs, assembly and such.
The dollars are being diverted elsewhere.
Intel a chip maker who can directly serve the AI boom, has failed to deploy its 2nm or 1.8nm fabs and instead written them off. The next generation fabs are failing. So even as AI gets a lot of dollars it doesn't seem to be going to the correct places.
biophysboy
They're not going to get it. The political economy of East Asia is simply better suited for advanced manufacturing. The US wants the manufacturing of East Asia without its politics. Sometimes for good reason - being an export economy has its downsides!
thiago_fm
I agree, in any time in US history there has always been those 5-10 companies leading the economic progress.
This is very common, and this happens in literally every country.
But their CAPEX would be much smaller, as if you look at current CAPEX from Big Tech, most of it are from NVidia GPUs.
If a Bubble is happening, when it pops, the depreciation applied to all that NVidia hardware will absolute melt the balance sheet and earnings of all Cloud companies, or companies building their own Data centers like Meta and X.ai
thrance
> > Without AI, US economic growth would be meager.
> The assumption here is that, without AI, none of that capital would have been deployed anywhere. That intuitively doesn't sound realistic.
That's the really damning thing about all of this, maybe all this capital could have been invested into actually growing the economy instead of fueling this speculation bubble that will burst sooner or later, bringing along any illusion of growth into its demise.
justonceokay
If the economy in my life has taught me anything, it’s that there will always be another bubble. The Innovators Dilemma mentions that bubbles aren’t even a bad thing in the sense that useful technologies are often made during them, it’s just that the market is messy and lots of people end up invested in the bubble. It’s the “throw spaghetti at the wall” approach to market growth. Not too different than evolution, in which most mutations are useless but all mutations have the potential to be transformative.
ryandrake
Or all that money might have been churning around chasing other speculative technologies. Or it might have been sitting in US Treasuries making 5% waiting for something promising. Who knows what is happening in the parallel alternate universe? Right now, it feels like everyone is just spamming dollars and hoping that AI actually becomes a big industry, to justify all of this economic activity. I'm reminded of Danny DeVito's character's speech in the movie Other People's Money, after the company's president made an impassioned speech about why its investors should keep investing:
"Amen. And amen. And amen. You have to forgive me. I'm not familiar with the local custom. Where I come from, you always say "Amen" after you hear a prayer. Because that's what you just heard - a prayer."
At this point, everyone is just praying that AI ends up a net positive, rather than bursting and plunging the world into a 5+ year recession.
hnhg
I found this the most interesting part of the whole essay - "the ten largest companies in the S&P 500 have so dominated net income growth in the last six years that it’s becoming more useful to think about an S&P 10 vs an S&P 490" - which then took me here: https://insight-public.sgmarkets.com/quant-motion-pictures/o...
Can anyone shed light on what is going on between these two groups. I wasn't convinced by the rest of the argument in the article, and I would like something that didn't just rely on "AI" as an explanation.
nowayno583
It is a very complex phenomenon, with no single driving force. The usual culprit is uncertainty, which itself can have a ton of root causes (say, tariffs changing every few weeks, or higher inflation due to government subsidies).
In more uncertain scenarios small companies can't take risks as well as big companies. The last 2 years have seen AI, which is a large risk these big companies invested in, pay off. But due to uncertainty smallish companies couldn't capitalize.
But that's only one possible explanation!
automatic6131
> The last 2 years have seen AI, which is a large risk these big companies invested in, pay off
LOL. It's paying off right now, because There Is No Alternative. But at some point, the companies and investors are going to want to make back these hundreds of billions. And the only people making money are Nvidia, and sort-of Microsoft through selling more Azure.
Once it becomes clear that there's no trillion dollar industry in cheating-at-homework-for-schoolkids, and nvidia stop selling more in year X than X-1, very quickly will people realize that the last 2 years have been a massive bubble.
nowayno583
That's a very out of the money view! If you are right you could make some very good money!
foolswisdom
The primary goal of big companies is (/has become) maintaining market dominance, but this doesn't always translate to a well run business with great profits, it depends on internal and external factors. Maybe profits should have actually gone down due to tarrifs and uncertainty but the big companies have kept profit stable.
andsoitis
> Maybe profits should have actually gone down due to tarrifs and uncertainty but the big companies have kept profit stable.
If you’re referencing Trump’s tariffs, they have only come into effect now, so the economic effects will be felt in the months and years ahead.
rogerkirkness
Winner takes most is now true at the global economy level.
whitej125
That which might be of additional interest... look at how the top 10 of the S&P 500 has changed over the decades[1].
At any point in time the world thinks that those top 10 are unstoppable. In the 90's and early 00's... GE was unstoppable and the executive world was filled with acolytes of Jack Welch. Yet here we are.
Five years ago I think a lot of us saw Apple and Google and Microsoft as unstoppable. But 5-10 years from now I bet you we'll see new logos in the top 10. NVDA is already there. Is Apple going to continue dominance or go the way of Sony? Is the business model of the internet changing such that Google can't react quick enough. Will OpenAI go public (or any foundational model player).
I don't know what the future will be but I'm pretty sure it will be different.
[1] https://www.visualcapitalist.com/ranked-the-largest-sp-500-c...
onlyrealcuzzo
There was always some subset of the S&P that mattered way more than the rest, just like the S&P matters way more than the Russel.
Typically, you probably need to go down to the S&P 25 rather than the S&P 10.
moi2388
They are 40% of the S&P 500, so it makes sense that they are primary drivers of its growth.
They are also all tech companies, which had a really amazing run during Covid.
They also resemble companies with growth potential, whereas other companies such as P&G or Walmart might’ve saturated their market already
andsoitis
> They are also all tech companies, which had a really amazing run during Covid.
Only 8 out of the 10 are. Berkshire and JP Morgan are not. It is also arguable whether Tesla is a tech company or whether it is a car company.
ahmeneeroe-v2
Berkshire holds ~$60B+ of Apple and is also exposed to AI through its power-utility arm, Berkshire Hathaway Energy.
freetonik
Interesting that the profits of those bottom 490 companies of S&P 500 do not rise with the help of AI technology, which is supposedly sold to them at a reduced rate as AI vendors are bleeding money.
roncesvalles
Other than NVIDIA, the profits of the S&P 10 haven't risen either. It's just that the market is pricing them very optimistically.
IMO this is an extremely scary situation in the stock market. The AI bubble burst is going to be more painful than the Dotcom bubble burst. Note that an "AI bubble burst" doesn't necessitate a belief that AI is "useless" -- the Internet wasn't useless and the Dotcom burst still happened. The market can crash when it froths up too early even though the optimistic hypotheses driving the froth actually do come true eventually.
jayd16
I'm curious to see the bubble burst. I personally don't think it will be anything like the dotcom era.
The benefits have just not been that wide ranging to the average person. Maybe I'm wrong but, I don't AI hype as a cornerstone of US jobs, so there's no jobs to suddenly dry up. The big companies are still flush with cash on hand, aren't they?
If/when the fad dies I'd think it would die with a wimper.
andsoitis
> Other than NVIDIA, the profits of the S&P 10 haven't risen either.
That’s not correct. Did you mean something else?
Workaccount2
We are still in the "land grab" phase where companies are offering generous AI plans to capture users.
Once users get hooked on AI and it becomes an indispensable companion for doing whatever, these companies will start charging the true cost of using these models.
It would not be surprising if the $20 plans of today are actually just introductory rate $70 plans.
esafak
I'd be surprised because (free) open source are continually closing the gap, exerting downward pressure on the price.
onlyrealcuzzo
We'll never know what would've happened without AI.
1. There profits could otherwise be down.
2. The plan might be to invest a bunch up front in severance and AI Integration that is supposed to pay off in the future.
3. In the future that may or may not happen, and it'll be hard to tell, because it may pay off at the same time an otherwise recession is hitting, which smoothes it out.
It's almost as if it's not that simple.
stackbutterflow
Predicting the future is always hard.
But the only thing I've seen in my life that most resembles what is happening with AI, the hype, its usefulness beyond the hype, vapid projects, solid projects, etc, is the rise of the internet.
Based on this I would say we're in the 1999-2000 era. If it's true what does it mean for the future?
baxtr
"It is difficult to make predictions, especially about the future" - Yogi Berra (?)
But let’s assume we can for a moment.
If we’re living in a 1999 moment, then we might be on a Gartner Hype Cycle like curve. And I assume we’re on the first peak.
Which means that the "trough of disillusionment" will follow.
This is a phase in Hype Cycle, following the initial peak of inflated expectations, where interest in a technology wanes as it fails to deliver on early promises.
keiferski
Well, there’s a fundamental difference: the Internet blew up because it enabled people to connect with each other more easily: culturally, economically, politically.
AI is more-or-less replacing people, not connecting them. In many cases this is economically valuable, but in others I think it just pushes the human connection into another venue. I wouldn’t be surprised if in-person meetup groups really make a comeback, for example.
So if a prediction about AI involves it replacing human cultural activities (say, the idea that YouTube will just be replaced by AI videos and real people will be left out of a job), then I’m quite bearish. People will find other ways to connect with each other instead.
dfedbeef
There's also the difference that the internet worked.
baggachipz
Classic repeat of the Gartner Hype Cycle. This bubble pop will dwarf the dot-bomb era. There's also no guarantee that the "slope of enlightenment" phase will amount to much beyond coding assistants. GenAI in its current form will never be reliable enough to do so-called "Agentic" tasks in everyday lives.
This bubble also seems to combine the worst of the two huge previous bubbles; the hype of the dot-com bubble plus the housing bubble in the way of massive data center buildout using massive debt and security bundling.
ben_w
Mm. Partial agree, partial disagree.
These things, as they are right now, are essentially at the performance level of an intern or recent graduate in approximately all academic topics (but not necessarily practical topics), that can run on high-end consumer hardware. The learning curves suggest to me limited opportunities for further quality improvements within the foreseeable future… though "foreseeable future" here means "18 months".
I definitely agree it's a bubble. Many of these companies are priced with the assumption that they get most of the market; they obviously can't all get most of the market, and because these models are accessible to the upper end of consumer hardware, there's a reasonable chance none of them will be able to capture any of the market because open models will be zero cost and the inference hardware is something you had anyway so it's all running locally.
Other than that, to the extent that I agree with you that:
> GenAI in its current form will never be reliable enough to do so-called "Agentic" tasks in everyday lives
I do so only in that not everyone wants (or would even benefit from) a book-smart-no-practical-experience intern, and not all economic tasks are such that book-smarts count for much anyway. This set of AI advancements didn't suddenly cause all cars manufacturers to suddenly agree that this was the one weird trick holding back level 5 self driving, for example.
But for those of us who can make use of them, these models are already useful (and, like all power tools, dangerous when used incautiously) beyond merely being coding assistants.
thecupisblue
> GenAI in its current form will never be reliable enough to do so-called "Agentic" tasks in everyday lives
No, but GenAI in it's current form is insanely useful and is already shifting the productivity gears into a higher level. Even without 100% reliable "agentic" task execution and AGI, this is already some next level stuff, especially for non-technical people.
lm28469
> especially for non-technical people.
The people who use llms to write reports for other people who use llms to read said reports ? It may alleviate a few pain points but it generates an insane amount of useless noise
ducktective
Very simple question:
How do people trust the output of LLMs? In the fields I know about, sometimes the answers are impressive, sometimes totally wrong (hallucinations). When the answer is correct, I always feel like I could have simply googled the issue and some variation of the answer lies deep in some pages of some forum or stack exchange or reddit.
However, in the fields I'm not familiar with, I'm clueless how much I can trust the answer.
Traubenfuchs
I fully agree that there will be a pop, there must be. Current evaluations and investments are based on monumentally society destroying assumptions. But with every disappointing, incremental and non evolutionary model generation the chance increases that the world at large realizes that those assumptions are wrong.
What should I do with my ETF? Sell now, wait for the inevitable crash? Be all modern long term investment style: "just keep invested what you don't need in the next 10 years bro"?
This really keeps me up at night.
brookst
The Internet in its 1999 form was never going to be fast enough or secure enough to support commerce, banking, or business operations.
falcor84
Exactly, it took an evolution, but there was no discontinuity. At some point, things evolved enough for people like Tim O'Reilly to say that we know have "Web 2.0", but it was all just small steps by people like those of us here on this thread, gradually making things better and more reliable.
api
I too lived through the dot.com bubble and AI feels identical in so many ways.
AI is real just like the net was real, but the current environment is very bubbly and will probably crash.
thewebguyd
It definitely feels identical. We had companies that never had any hope of being profitable (or even doing anything related to the early internet to begin with), but put .com in your name and suddenly you are flooded with hype and cash.
Same thing now with AI. The capital is going to dry up eventually, no one is profitable right now and its questionable whether or not they can be at a price consumers would be willing or able to pay.
Models are going to become a commodity, just being an "AI Company" isn't a moat and yet every one of the big names are being invested in as if they are going to capture the entire market, or if there even will be a market in the first place.
Investors are going to get nervous, eventually, and start expecting a return, just like .com. Once everyone realizes AGI isn't going to happen, and realize you aren't going to meet the expected return running a $200/month chatbot, it'll be game over.
biophysboy
>“The top 100 AI companies on Stripe achieved annualized revenues of $1 million in a median period of just 11.5 months—four months ahead of the fastest-growing SaaS companies.”
This chart is extremely sparse and very confusing. Why not just plot a random sample of firms from both industries?
I'd be curious to see the shape of the annualized revenue distribution after a fixed time duration for SaaS and AI firms. Then I could judge whether its fair to filter by the top 100. Maybe AI has a rapid decay rate at low annualized revenue values but a slower decay rate at higher values, when compared to SaaS. Considering that AI has higher marginal costs and thus a larger price of entry, this seems plausible to me. If this is the case, this chart is cherry picking.
vannevar
>Nobody can say for sure whether the AI boom is evidence of the next Industrial Revolution or the next big bubble.
Like the Internet boom, it's both. The rosy predictions of the dotcom era eventually came true. But they did not come true fast enough to avoid the dotcom bust. And so it will be with AI.
dsign
I don't think AI is having much impact on the bits of the economy that have to do with labor and consumption. Folk who are getting displaced by AI are, for now, probably being re-hired to fix AI mess-ups later.
But if, or when AI gets a little better, then we will start to see a much more pronounced impact. The thing competent AIs will do is to super-charge the rate at which profits don't go to labor nor to social security, and this time they will have a legit reason: "you really didn't use any humans to pave the roads that my autonomous trucks use. Why should I pay for medical expenses for the humans, and generally for the well-being of their pesky flesh? You want to shutdown our digital CEO? You first need to break through our lines of (digital) lawyers and ChatGPT-dependent bought politicians."
krunck
Please stop using stacked bar charts where individual lines(plus a Total) line would help the poor reader comprehend the data better.
hackable_sand
What about food and housing? Why can't America invest in food and housing instead?
margalabargala
America has spent a century investing in food. We invested in food so hard we now have to pay farmers not to grow things, because otherwise the price crash would cause problems. Food in America is very cheap.
hackable_sand
It's reassuring to be reminded that every child in America must justify their existence or starve to death.
righthand
Is anyone starving in America? Why would there need to be focus on food production? We have huge food commodities.
andsoitis
> Artificial intelligence has a few simple ingredients: computer chips, racks of servers in data centers, huge amounts of electricity, and networking and cooling systems that keep everything running without overheating.
What about the software? What about the data? What about the models?
amunozo
This is going to end badly, I am afraid.
m_ke
Could all pop today if GPT5 doesn’t benchmark hack hard on some new made up task.
falcor84
I don't see how it would "all pop" - same as with the internet bubble, even if the massive valuations disappear, it seems clear to me that the technology is already massively disruptive and will continue growing its impact on the economy even if we never reach AGI.
m_ke
Exactly like the internet bubble. I've been working in Deep Learning since 2014 and am very bullish on the technology but the trillions of dollars required for the next round of scaling will not be there if GPT-5 is not on the exponential growth curve that sama has been painting for the last few years.
Just like the dot com bubble we'll need to wash out a ton of "unicorn" companies selling $1s for $0.50 before we see the long term gains.
mewpmewp2
I don't expect GPT-5 to be anything special, it seems OpenAI hasn't been able to keep its lead, but even current level of LLMs to me justifies the market valuations. Of course I might eat my words saying that OpenAI is behind, but we'll see.
apwell23
> I don't expect GPT-5 to be anything special
because ?
>Without AI, US economic growth would be meager.
The assumption here is that, without AI, none of that capital would have been deployed anywhere. That intuitively doesn't sound realistic. The article follows on with:
>In the last two years, about 60 percent of the stock market’s growth has come from AI-related companies, such as Microsoft, Nvidia, and Meta.
Which is a statement that's been broadly true since 2020, long before ChatGPT started the current boom. We had the Magnificent Seven, and before that the FAANG group. The US stock market has been tightly concentrated around a few small groups for a decades now.
>You see it in the business data. According to Stripe, firms that self-describe as “AI companies” are dominating revenue growth on the platform, and they’re far surpassing the growth rate of any other group.
The current Venn Diagram of "startups" and "AI companies" is two mostly concentric circles. Again, you could have written the following statement at any time in the last four decades:
> According to [datasource], firms that self-describe as “startups” are dominating revenue growth on the platform, and they’re far surpassing the growth rate of any other group.