How is Anthropic, OpenAI and xAi going to compete against the likes of Google that can spend $200 billion a year? It’s an impossible war and all these investors are throwing their money into a bottomless insatiable pit of money.
Until the funding stops for one reason or another and then everyone loses all their money at once like a star that collapses into a black hole singularity in a femtosecond.
As someone who thought Google+ doomed facebook, because of Gmail accounts and everyone with Google as their homepage already, I learned not to overestimate Google’s abilities.
So is Gemini tbh. It's the only agent I've used that gets itself stuck in ridiculous loops repeating "ok. I'm done. I'm ready to commit the changes. There are no bugs. I'm done."
Google somehow manages to fumble the easiest layups. I think Anthropic et al have a real chance here.
Hard to bet against Hassabis + Google's resources. This is in their wheelhouse, and it's eating their search business and refactoring their cloud business. G+ seemed like a way to get more people to Google for login and tracking.
Everything was obviously DOA after it dies. I also thought it wouldn't last but it wouldn't be the first or last tech company initiative that lived on long after people thought it would die. Weird things happen. "Obviously" isn't a good filter.
I thought it was a far superior UI to facebook when it launched. I tried to use it but the gravity of the network effect was too strong on facebook's side.
In the end I'd rather if both had failed. Although one can argue that they actually did. But that's another story.
I very much wanted Google Plus to succeed. Circles was a great idea in my opinion. Google Plus profiles could be the personal home page for the rest of us but of course, Google being Google...
That being said, tying bonuses for the whole company on the success of Google+ was too much even for me.
Theoretically Apple can spend just as much. What are the outcomes though? All those giants have their own business that are established and profitable.
It’s the new kids in the block that will make the difference.
You know those lists on twitter about how many companies US has in top 10 and are presented as a win? Those are actually lists of capital concentrations blocking innovation. It looks like US is winning but for some reason life is better in EU and innovation is faster in China.
It’s companies like OpenAI Anthropic that will move US ahead. Even if some core innovation or and capital comes from the establishment.
> Theoretically Apple can spend just as much. What are the outcomes though?
The GP was talking about Google specifically, and their outcomes on AI are nothing to scoff at. They had a rocky late start, but they seem to have gotten over that. Their models are now very much competitive with the startups. And it's not just that have more money to spend. They probably have more training data than anyone in the world, and they also have more infrastructure, more manpower, more of a global footprint than the startups.
The Innovator's Dilemma is an anecdotal, maybe a statistical relationship at best, but not a fundamental law of nature. When an established company has everything it should take to become a leader in a new industry in theory, and in practice their products are already on par with the industry leaders, you know at some point it becomes rational to think that maybe they might become a leader.
Google didn’t have a late start, they invented the tech, had bespoke hardware in place that supported it and have money to spend.
I don’t have any idea what comes next but Google and Microsoft look bad right now because they can’t execute a product strategy.
My personal bias is that either ms or Google or both will land just fine after it all shakes out but they started with a lead and are now playing catch up.
they did have a late start in terms of productionizing the models. It's definitely improved but there was a time where Gemini and the associated tools werent as good as claude/oai
Sometimes I worry about the incentives for innovation in the US.
Step 1, find something to innovate on, sell the promise of it to investors.
Step 2, build a prototype or worst case, build it for real and start generating income from your truly innovate and unique product.
Step 3, get acquired by a large company and then shut down because your product competed with theirs.
End result, general public possibly benefited from your innovation, but in the long run, it was temporary.
Maybe the incentives would be better if it were harder for large companies to acquire small ones? If the path to riches where driven primarily by delivering value to customers. Would love to hear other's opinions on this.
The EU is no way share or form in a good economic position right now. That's why euro leaders have been kowtowing to Trump despite him being a deranged lunatic.
Delete all American software, American defense, American energy, and Chinese hardware from the EU tomorrow. That's the deep-seated unease that keeps EU leaders up at night. Europe needs to be doing 3-4% GDP growth annually and have a globally competitive top to bottom tech an defense industry, and it needs that years ago.
The problem is that the EU needs to become more like the US to do this, and for people who grew up under the protective overhang of the soviet collapse, this is mostly unthinkable. Just like the US not bankrolling half of Ukraine's defense would be unthinkable...
Their data is not perfect as they rely on public sources, and some governments are more transparent than others, but the reality is that US funding all but vanished in 2025.
Back to the topic, there is also a pattern of promising European startups being bought by wealthy USA incumbent companies. This is also happening to established compagnies: see ARM, Alstom Power, etc.
As Europe de-couples from the USA in the current context, I suspect (and hope) that such acquisitions will come under more regulatory scrutiny.
> "Get bankrolled by the state at the state's discretion until they get what they want, even if they need to burn $1B to get $1M of value"
If that's how it worked, they wouldn't lead in anything, they'd be bankrupt already. They burn state money like VCs burn cash. DeepSeek, Alibaba, Tencent, Xiaomi, Huawei, etc., disprove your point.
Look into how their 5 year plans have lead to capital investment with almost zero feedback. A heavily bureaucratic system of bureaucrats incentivized to spend massively to boost their own appearance, and cover up losses/inefficiencies.
Ghost cities, empty high speed rail lines, solar cells being mass produced at a loss.
All these things also produced end products the state wanted, no doubt. But the capital allocation strategy is basically a "throw all the money the leader gives in that direction until the leader says stop".
Is there a lot of wasted capital? Sure but a lot of it still produces outcomes.
> A heavily bureaucratic system of bureaucrats incentivized to spend massively to boost their own appearance, and cover up losses/inefficiencies.
In China, if you want to move up politically, you generally need to show results, meaning the province or area you govern is expected to deliver measurable performance (even if politics and connections still matter too). In that sense, you could argue it's more performance driven in some respects than the US.
EVs and solar were clear priorities, and China has been very successful at scaling both and driving costs down. Domestic competition has been so intense (especially in EVs) that margins have gotten extremely thin, and officials have recently signaled they want to curb "irrational" price wars.
> Ghost cities
Sure, some exist, but many of the developments that were circulated online years ago have filled in over time. That said, there's no question a lot of projects stalled or collapsed during the property downturn, especially after China Evergrande and other developers ran into trouble.
> empty high speed rail lines,
I can't speak to every route, but overall the high speed rail network is heavily used. When I traveled in China, it was excellent and extremely extensive. Some lines and stations likely see weaker demand than others, but the idea that it's broadly "empty" doesn't match reality.
> solar cells being mass produced at a loss
With overcapacity and price wars, many firms have faced serious margin pressure and losses though that doesn't mean every producer is losing money on every panel.
In the end, the real question is whether the capital allocation is efficient enough for citizens to benefit and for the country to remain competitive. Empirically, the answer looks closer to yes in industry and infrastructure, while real estate has been a major exception, with real costs and inefficiencies.
> Theoretically Apple can spend just as much. What are the outcomes though? All those giants have their own business that are established and profitable.
Ah! Well, if we put aside "The Innovator's Dilemma" and pick up Reis and Trout's "marketing Warfare," we get the answer. Apple does have an existing business, but investing in AI does not cannibalize it. They can throw money at it, try to find a way to make it work really, really well for consumers on very specific custom hardware in their devices...
Likewise, someone like Google has all the money in the world to throw at it, but they aren't investing in a new market, they're defending their search business against everyone just asking a generative AI Chatbot questions. I\But it's possible for them to screw this up internally over turf wards, just ask the engineers who tried to make search better but were kneecapped by Prabhakar Raghavan who demanded that search be poor enough to drive people to click sponsored results.
In the "Marketing Warfare" model, Apple is attempting a flanking attack: An outsider trying to disrupt the AI giants with an approach that they can't imitate without undermining their value proposition. On-device AI flanks the big giants that areservcie-centric.
And in that model, Google is playing defence, which is what every leader is supposed to do. Their job is to "cover every move," which they are doing in textbook fashion. If AI goes away, Google dry their tears and continue to mine ad revenue.
It's telling that the measure of quality of life you use in this comment is entirely materialistic in nature. I also challenge the idea that US provides 'access to better medical care', as it is pretty well documented that Americans spend more for lower quality care compared to similar developed countries.
I believe this cultural divide is a big reason America won't make it back to the top - insatiable desire for wealth and a lack of values-based principals. Ironically US companies are the first to tout their 'values' in the workplace.
> I believe this cultural divide is a big reason America won't make it back to the top
What top are you referring to?
We're in a thread about a US company announcing its new $30B fundraise from a group of elite US growth investment funds arguing about whether this company will be able to overthrow the $4T US tech behemoth and suggesting that all the other US tech behemoths are actually stifling progress.
I gotta say, I found this one especially funny as I currently don't have a car and that's actually my biggest luxury: being able to go around without one and no spending time in commute.
Yeah, so I don't want to be a Debbie Downer, but as a European who visited the US, your food is definitely not something I would use as an example of your QoL.
I have a friend who needs a medication that costs more than 30,000$ a year. Here in Canada it is 100% covered by our government health insurance regime. In the USA he would be bankrupt (or dead).
Here in Canada if I have an accident i do not have to worry about being bankrupt if the ambulance brings me to the wrong hospital.
I am really not enthusiastic about the so-called superior quality of life some US-ians like to boast about.
Why? I live in the US. I have the best healthcare coverage in the world. I pay absolutely nothing for it, ever. No matter the cost. And I have access tot he best doctors, innovations, and technology in the world.
Tell me again why your friend would be dead? It sounds like you really have a poor understanding of American health care.
>As measured by prosperity life in the US is better; the poorest US state has a higher GDP per capita than most western European countries.
GDP per capita/prosperity is a poor proxy for quality of life. The US is lagging most of the developed world in most quality of life metrics, even as reported by US news outlets, which don't rank the US in even the top 20: https://www.usnews.com/news/best-countries/rankings/quality-...
>Americans have bigger houses, more food, bigger cars,
The size of one's house or car is at best weakly-correlated with quality of life. I would rather not own a car at all and be able to walk everywhere, rather than spend hours of my life commuting in a gigantic SUV.
>bigger salaries, and access to better medical care and schools if they've got an okay job.
The US ranks the lowest in the developed world for life expectancy, and among the highest in obesity globally (obesity being a major determinant of health). The US remains the only developed country where an unlucky dice roll (e.g. genetic-linked cancer) will bankrupt you and destroy the livelihoods of your children.
Keep in mind there are two Americas, a wealthy one and a not wealthy one; someone posting on HN is likely in the former bucket, and not juggling a retail job and doing Uber on the side while being unable to afford healthcare.
I'm not sure even wealthy America is better off. They might have their $3M mansion in a nice town but it will still have no sidewalks, be 2 miles from school, and an hour from major city center.
I don't know where you've gotten the idea that wealthy Americans spending $3M on their homes can't have sidewalks or live near major city centers. It's a big country, so there's lots of places that don't have sidewalks or aren't near a city. But any wealthy American who wants those things can easily get them without making compromises.
(The school thing I'll grant you, although in a car-centric country a school 2 miles away often takes like 5 minutes to get to.)
Depend on the definition of the "product". For example some banal cloud storage in which everyone competes. And it's an "old" product, despite being invisibly improved behind the scenes, just like at any other provider. Google has pretty competitive storage AND they are fully abusing Android integration for AND they have pretty good bundling of that storage with other products, including, you've guessed it - LLM Gemini. So say a person is not a professional user of LLMs like a developer burning tokens in a dozen accounts simultaneously. A person has a phone and eventually memory runs out, so he buys a one click Google storage for 4 bucks. And suddenly he has Gemini Pro included too. So why pay 20 bucks to Anthropic, when Google costs 1/5 of that AND has other stuff bundled too?
So maybe Google is lagging on truly new products (btw, does Gemini itself with its TPUs count as a new product? I'd say yes), but "old" products are entrenched enough to carry them and compete.
Google Drive is easily the worst of the desktop cloud storage options. It’s okay for Google Docs but not other files if that’s what you’re talking about..
Im not sure what you consider successful. They've been struggling to get market share vs azure, and the product isnt that good. lots of rough edges, and piss poor support
Their API business model seems to be hope enough people accidentally go over free tier: $0 for the first 5000 monthly places lookups, $40 per 1000 after that
Few years ago, we had Google Bard, the ancestor of Gemini, which was supposed to be an AI LLM, and when you right-clicked the page, it was a fake page with hardcoded sentences in a .js file...
well, it's basically existential, so the incentive is there to not only get it very right but also to limit the delta with how right anyone else gets it. The same can't really be said of the long tail of products Google have done.
Look to GCP as an example. It had to be done, with similar competitive dynamics, it was done very well.
I hadn't heard that, that's interesting. Any sources you'd recommend to hear more about it?
I think it's a slightly different point though. What I'm saying isn't about where the idea came from or whether it was part of some precient top down bet / strategy from the very beginning.
It's more where did the strategy evolve to (and why) and did they mess it up. GCP and Android are good examples of where it at a minimum became obvious over time that these were massively important if not existential projects and Google executed incredibly well.
My point is just that there's therefore good reason to expect the same of LLMs. After all the origin story of the strategy there has a similar twist. Famously Google had been significantly involved in early LLM/transformer research, not done much with the tech, faltered as they started to integrate it, course corrected, and as of now have ended up in a very strong position.
> well, it's basically existential, so the incentive is there to not only get it very right but also to limit the delta with how right anyone else gets it. The same can't really be said of the long tail of products Google have done.
I've yet to see anything that threatens Google's ad monopoly.
It's not that a dominant position goes away overnight. In fact that would be precisely the impetus to spur the incumbent to pivot immediately and have a much better chance of winning in the new paradigm.
It's that it, with some probability, gets eaten away slowly and the incumbent therefore cannot let go of the old paradigm, eventually losing their dominance over some period of years.
So nobody really knows how LLMs will change the search paradigm and the ads business models downstream of that, we're seeing that worked out in real time right now, but it's definitely high enough probability that Google see it and (crucially) have the shareholder mandate to act on it.
That's the existential threat and they're navigating it pretty well so far. The strategy seems balanced, measured, and correct. As the situation evolves I think they have every chance of actually not being disrupted should it come to that.
They target those ads by ingesting as many signals as possible from as many input devices & sensors as they can possibly convince people to use. They make a lot of money from advertising b/c they have managed to convince the most number of people to give them as many behavioral signals as possible & they will continue to do so. They kill products only when the signal is not valuable enough to improve their advertising business but that's clearly not the case w/ AI.
Because Google has the money to build 10 different versions/iterations of Gemini and can essentially force one to work. They have most people's data and most people use them for mail/search/browser/maps as well.
In my opinion though this is a race to the bottom rather than a winner takes all situation so I don't think anyone is coming out ahead once the dust settles.
Does it matter? Microsoft won by default with Teams because it actually turns out no one cares about chat or even has a choice in it: employees use whatever the company picks.
The tech behind wave eventually made its way into Google docs though and pioneered collaborative document editing, so wasn't a complete failure even though the product itself was killed.
No comment on Google+, Google has a storied history of failure on any kind of social media/chat type products.
Where Google wins is just simply having enough money to outlive anyone else. As the saying goes "the market can remain irrational longer than you can remain solvent" In this case, Google is the market and they can just keep throwing money at the wall until OpenAI, Anthropic, etc. go under.
Does Alphabet/Google have any other significant alternative revenue streams though besides their ad revenue? And won't that decrease significantly the more people use AI tools for research than firing up a google web search? I find myself using Claude more and more doing web research and comparing products/reviews...without getting a single ad served up from Google.
The conclusion Google is engaged in consumer capitalism is wild.
They're engaged in computing research and merely engage in consumer capitalism as a consequence of political and social constraints.
Products are a means to an end not the goal.
OpenAI and Anthropic are product companies and are more likely to fail like most product companies do as they will lack broad and wide depth.
Google has experience in design, implementation, and 24/7 ops with every type of SaaS there is. They can bin LLMs tomorrow and still make bank. Same cannot be said for OAI or Anthropic.
I'm trying paid tier Gemini and it doesn't allow to keep have personal chat history when you disable training on your data, on reload of the page your chat is gone. Even free tier of ChatGPT allows disabling training on your data while allowing to keep such basic functionality.
Some technical advancements are not worth it if you do not respect your users.
Google is evil in passive way, like sprawling bureaucracy making you life slowly worse and worse but also doing some stuff to at least some fraction of population. OpenAI and Sam are determined and energetic evil, laser focused on making whole human population jobless and homeless in shortest way possible and not producing anything else of value, no other products. I'd rather prefer the former evil out of the two.
Another basic feature that’s missing is sharing a Gemini chat as a link anyone can view.
OpenAI figured this out: it’s awesome marketing when people send each other links to the app with a convenient text box to continue the conversation. It’s viral.
Google meanwhile set this up so that “anyone with the link can view” is actually “anyone with the link and a Google account”.
That’s grade A failure of marketing.
The PM in charge of that decision ought to be walked off a plank.
Because it's Google they can't build products and they only care about benchmarking.
The product they released so far are all half assed experiments.
Gemini 3 Pro is now being beaten by open source models because they can't fix or don't want to fix the problems with the Gemini models being completely useless.
The same for Microsoft.
Microsoft had GitHub Copilot, and Microsoft Copilot and both of them are useless to Claude Code and Claude Cowork.
You can have all the money in the world, but nothing is stopping you from building useless garbage.
I guess it depends on your spending. GPT-5.2 and -5.3-Codex are certainly much cheaper: you get much more from the same $20 sub. When I was using Claude as primary I would daily hit limits and have to wait vs on GPT with more usage it only happened to me once in a few months when I was vibecoding non-stop for a week or two to port my personal Windows tools to Linux with multiple other projects being worked on in parallel.
Anecdotally GPT was also smarter than Claude which prompted my move from Claude in the first place: Gemini and Claude back in October failed to get their own harness PID.
Well there's a good reason that OpenAI partnered up with Microsoft. The calculation is that the established big techs - Amazon, Apple, Microsoft, Google, Meta are all going to be significantly impacted by AI so it's not unreasonable to look at Anthropic at 10% of their market cap as a reasonable value. Would it be worth Apple to bring Anthropic in house? They failed to deliver AI themselves, they know the risks of being dependent on Google. If AI goes far enough it may totally remove Apple's differentiation.
Some of the Big Techs are building their own in house stuff (Meta, Google), but it wouldn't be crazy to see acquisitions by the others, especially if the market cools slightly. And then there's the possibility that these companies mature their revenue streams enough to start actually really throwing off money and paying off the investment.
> they know the risks of being dependent on Google
I wouldn't argue it's that risky. Look at their past entanglements:
1. Google Default Search Bribe - brings in $20B a year for literally doing nothing
2. Google Maps: Google let them build their own custom app using Google's backend, and it worked fine all the way up until Apple chose to exit that arrangement
actually I can't think of any others, but is there an example of Apple getting burned by Google?
Well they have an illegal monopoly over display ads that they defended with a moat of money when FB tried to butt in, so that's an example of them being not great to rely on.
Slight counter point - claude code is basically the only developer tool that ever been happy to pay money for. Getting the entire software industry to give you $200/mo/person is quite the market.
this matches my experience. i'm building a mobile game solo and the amount of leverage i get from claude is wild, probably saves me 15-20 hours a week on stuff that would've required either a second person or just grinding through slowly.
$200/mo is nothing compared to what that time is worth. and it keeps getting better with each model release, which is the opposite of what usually happens when you pay for developer tools (they get acquired, enshittified, or abandoned).
the meta point about this funding round imo: competition between anthropic, openai, and google is the best thing happening for small builders right now. it keeps the tools improving fast and pricing competitive. if any one of them had a monopoly we'd be paying 10x for worse output.
I think GP is probably implying that this particular vertical requires obscene amounts of capital to keep up, which makes it really hard for a startup if you’re going up against businesses with giant free cash flow machines.
It’s the same reason Reid Hoffman sold his AI startup early… he realized he just couldn’t beat Google/FB/MSFT long term if it devolved into a money race.
Just because something is in do-or-die situation doesn't mean that they have some kind of magical advantage over fat cat. Being in that situation means there is very real possibility of doing "die" part and we have lots of examples of them doing so.
Basically "we have youtube subscribers" is the only thing that isn't all about AI, but even that i'm sure they're trying to figure out how to shoehorn AI into that product
Have you ever used anything that is on google cloud console? Or tried not to get randomly ratelimited with a single request to a vertex llm model? They are shooting themselves in the foot for solid 20 years, any of these players can compete with google in this frontier
The most efficient way Google could spend that money is probably to buy a company and not poke at it too much. I have no confidence that large rich companies can actually innovate beyond buying small innovators or spawning business units and not poking at them much.
Sundar "the manager" has presided over an enormous growth of the businesses he was handed. He also presided over the complete collapse of the internal culture. OTOH he may have fired Dianne Green, so that's something. Overall, at best Meh.
Demis ran a startup that burnt cash on vanity projects and continues to burn cash on vanity projects. Gemini is barely open source quality AI, but Google makes it nearly free and has the best distribution on the planet.
Gemini has been a joke since 1.0. No release has hurt Google's brand more. 3.0 was STOA for about 2 days, easily Gemini's best release.
Anthropic and OAI are moving at amazing pace, Google can not keep up at all.
> "It has been less than three years since Anthropic earned its first dollar in revenue. Today, our run-rate revenue is $14 billion, with this figure growing over 10x annually in each of those past three years."
Wild although not entirely surprising. Congrats, Anthropic.
Pay attention to the outflow of tech investment in the stock market. That money is going to move into OpenAI and Anthropic IPOs. The valuations will be as big you are thinking because the market believes these companies will represent an entire basket of startups.
That's a really interesting tidbit. Thanks for sharing.
And thinking about it it makes sense since the decision to pay the outrageous rates for an ad during the Superbowl must be driven by strong emotions (confidence or desperation). In this case, considering there's no clear moat for any of the big players, I believe it's the latter.
I really wonder is there even enough dump money from them to sell the stock they hold. Not to mention even raising any new capital... Is there really enough bag holders that will run after these stock with large enough piles of money?
Could you be more specific? Because NVDA has a consistent 20 year growth of something like 400x and +30%/yr, so I don't think the bitter lessons are there.
I would hold off congratulating them until they’re actually in the black. They are still burning billions a year lol the revenue is impressive but their expenses are still solidly north of it.
Those growth stats for Claude Code are pretty wild:
> Claude Code was made available to the general public in May 2025. Today, Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026. The number of weekly active Claude Code users has also doubled since January 1 [six weeks ago].
Doubling both annual run-rate revenue and weekly active users in the first six weeks of this year!
Goldman Sachs recently stoked fear about software stocks due to claimed AI competition.
What if their strategy is this: slowly drive down software stocks, keep talking about AI, buy the downward market. Then cash in on the IPOs of OpenAI and Anthropic.
Then let OpenAI and Anthropic implode. Goldman Sachs had no problems underwriting webvan at the end of 1999, which then imploded in 2000.
Anyway, I just valued my dog at $1 billion post-money. You can buy it at pets.com.
Matt Levine has put this forward in his newsletter - if you're moderately influential you can go on TV and tell people that "X industry will be dead in 10 years" because of AI and then profit from the inevitable stock dip.
Because we live in the worst possible timeline the end result for AI companies does seem to be "too big to fail", where these massive investments will get foisted on working class people via a bailout or an IPO and index inclusion.
I don't see why any AI company would ever be "too big to fail". I can't see why any government would be motivated to take the political hit of bailing them out.
Claude Code is trivially an attempt to hobble the rest of the software business: the PID controller, the control vectors, the ever change loss surface, the bash and JSON jank at the foundations, the no one is this stupid context management, the some-data-critical-to proceed | tail -n 5, the sed editing, the speculative execution of partial frames.
OpenRouter and Opencode show you how behind it is, that bootstraps you off of them. They have issues too and Zen is starting to feel icky, but they let you speed run to the next thing.
You're attributing way too much intent to what is the viewpoint of some random analyst at Goldman Sachs (who doesn't even control any purse strings). A year ago there was another big hullabaloo when a GS team wrote a long post about how AI companies would never make enough revenue.
They've been very clear about their mission, they're doing more than anyone else when it comes to it, and if you've ever interviewed with them you'd know how critical it is to them.
But I guess it's easier to make a glib comment than look these things up.
OpenAI has "open" in their name but is closed off to public access and input
Google used to have a motto "don't be evil"
Who enforces the definition of language? Who demands compliance?
Soon as we go down the path of policing and insistence on one true dogma, we veer into religious holy war type behavior.
Obsession with semantics of syntax is a sort of theism even if the syntax and semantics do not refer to the commonly accepted tropes of a specific religion.
In this case, it has to do with how they're classified under Delaware law as a corporate entity.
I'm not a lawyer (I don't even play one on TV, damn you Odenkirk) so I can't tell you what that means as far as case law for companies getting punished for behaving badly, but in this case, there is supposedly some sort of legal backing for the classification.
Anthropic has one of the best moats of any business that's been created in the last 50 years.
Numerous companies have tried and failed competing with SoTA foundational models. If Anthropic had no moat, Apple and Meta wouldn't be paying them billions for coding asistance.
Meta, Amazon, Apple, and Nvidia would all have SoTA competitors to Claude. They all tried and have not produced a competitor.
Instead you have three companies that stand alone making billions from foundational models.
The open models are not far behind. Is it really a "moat" when it's so short lived and you need a brand new moat after six months? That's just ordinary competition.
Two years ago, I considered investing in Anthropic when they had a valuation of around $18B and messed up by chickening out (it was available on some of the private investor platforms). Up 20x since then ...
It was always obvious that Anthropic's focus on business/API usage had potential to scale faster than OpenAI's focus on ChatGPT, but the real kicker has been Claude Code (released a year ago).
It'd be interesting to know how Anthropic's revenue splits between Claude Code, or coding in general, other API usage, and chat (which I assume is small).
Eh, I think you made the best decision you could given the info you had.
I’ve poked around on EquityZen and was shocked at how little information is available to investors. In some cases I did not even see pitch decks, let alone one of the first companies I looked at had its top Google result: CEO recently arrested for fraud and business is almost worthless now.
Unless you are willing to take a blind punt or have insider information, those platforms are opaque minefields and I don’t fault you for not investing.
Matt Levine has a fun investment test: when presented with an opportunity, you should always ask, “and why are you offering it to me?”
Meaning, by the time it gets offered to retail investors (even accredited ones are retail) we’re getting the scraps that no one else wants.
Hiive and Forge Global are the ones I know of. You must be an "accredited investor" which means nothing at all except that you have a million dollars or make $200k/yr.
Like you can buy shares of Anthropic as long as you prove you make over 200K? That easy? Shouldn't they approve of the purchase? Sorry, noob in this space!
They have to approve and it's not as simple - it's just that if you make $200k a year or have $1m in the bank, the government assumes you're a knowledgeable investor and allows you to bypass certain protections.
If you are NOT knowledgeable and simply have money ... well it'll soon be parted.
The secondary platform verifies you and then you indicate interest. If there’s a seller you may get to buy. Company may ROFR. Priority goes to bigger buyers.
I wonder how good it is for companies to be allowed to grow so big and still be private? Would it makes sense to require any company with more than a billion dollar valuation to be subject to all the same SEC requirements that public companies are? Could companies be blocked from raising money once the reach a crazy valuation like $1 billion?
That doesn’t make sense at all. The raison d’être of SEC is to protect regular mom-and-pop investors. A private company just doesn’t allow anyone to invest in them. Why should SEC rules apply? On what legal basis can you force a private company to divulge its financial details? Would you be happy if you, as an individual, have to divulge your account statements if your own net wealth reaches one million?
> The raison d’être of SEC is to protect regular mom-and-pop investors
That's not the sole reason. They (should) also enforce a fair even playing field by preventing market manipulation (e.g. how Elon was tweeting about stock prices) and a few other things to "facilitate efficient markets and the formation of capital".
> Why should SEC rules apply?
Because private companies still fall under the jurisdiction of the SEC? See e.g. Theranos.
> On what legal basis can you force a private company to divulge its financial details?
On the to-be-created legal basis that aims to prevent bubble formation and the resulting fallout to the wider society?
> Would you be happy if you, as an individual, have to divulge your account statements if your own net wealth reaches one million?
Sure, why not? It's not a totally unheard of idea. In Norway everyones salary can be looked up.
yeah it's a slippery slope forcing companies to go public at X valuation. who decides that? what number makes sense? etc. but i do think we need to somehow fix massively overpriced companies going public and dumping on retail
it's still the case, but there are never 1,000 investors, there's a couple dozen VC firms, SPVs, and individuals
if you're smart.
I don't think this is an SEC problem, they are fully aware that people subject to their jurisdiction can jump through many hoops to circumvent them. This shows consent on the investor's part well enough, and capital formation regulations do not burden the investor at all, they are only constitutional because they burden the organization raising capital, who simply needs to do a cursory check - not an in-depth one. (level of depth is based on which regulatory exemption is chosen)
So as long as you separate concerns the SEC is satisfied.
A few years back, well ok maybe almost ten now, but regardless- a recruiter reached out to me about a role at a "series G" company like it was a selling point, and I was just kinda like ok maybe thats signaling its relatively stable and can raise money, but at the same time, that's a lot of rounds to have preferences ensure unprivileged shareholders get nothing, and also to have most of the hockey stick growth already tapped out.
This was in the middle of the boom when companies were fighting over talent, so I found it odd.
Only for well defined tasks. There's not really a practical upper bound. We will keep throwing more complex tasks at it to the extent that it can handle them. Like if you just need fancy OCR, then a specific model will probably suffice, but there will be an appetite for human- or superhuman-level intelligence that never gets tired and has no rights.
Funny I consider this valuation modest considering what the max extent of the investment thesis is here.
SaaS and legal market caps have already contracted a multiple of the combined OpenAI + Anthropic valuations just based on the _threat_ of what they may be able to accomplish.
They'll have the data + knowledge edge over open alternatives and be able to implement + deploy (see the story about Anthropic employees being at GS for 6 months already[0])
These companies are spending billions on custom datasets for a gazillion of valuable tasks and are clamping down on exfil for distillation. It's not guaranteed open source models will continue to keep pace.
China might purchase the data and train their models just to make the AI bubble pop. A few billions to throw a wrench in your competing superpower economy might be totally worth it
If they did that it would be pursuing a commodify-the-complement strategy of some kind, not just "popping" a bubble. Same as nVidia publishing their own open models. If anything the value of everything AI would rise even further due to Jevons' Paradox.
Then they will fall back on the selling their other real competitive products - hardware accelerators, phones and PCs, cloud storage and cloud compute, enterprise software, databases, operating systems, office and media suits... Oh wait...
I am struggling with this because I have an Anthropic offer vs another equivalent offer that is all cash.
But project out forwards.
- What happens when Google builds a similar model? Or even Meta, as far behind as they are? They have more than Anthropic in cash flow to pour into these models.
- What happens when OSS is "enough" for most cases? Why would anyone pay 60% margins on inference?
What is Anthropic's moat? The UX is nice, but it can be copied. And other companies will have similarly intelligent models eventually. Margins will then be a race to the bottom, and the real winners will be GPU infra.
I've been in this situation before. Anthropic has a stupid business model but the market can stay irrational longer than you can stay solvent. If you get in there you will be aligned with people who structurally do not lose.
Big picture, sure. We can talk about the millions that corporations will make and who's going to do what. But you're a person. $1 million in options is probably meaningful for you. Companies aren't IPOing, but the secret is that they're still paying employees cash for their options. SpaceX employees have had what's called a tender, which means they get to sell some of their hypothetical SpaceX options for cold hard cash in the bank that you can use to pay your mortgage. There's zero guarantee that Anthropic will do such a thing before the bubble bursts, but if they do, and you're there, who cares about a software company moat when you have enough money to buy a castle in Napa and pay to have a real actual moat with water in it and crocodiles, if that's what you want.
Others are made of different stuff, and are going to go right back to work, even though they could go off to a beach for the rest of forever somewhere.
> who cares about a software company moat when you have enough money to buy a castle in Napa and pay to have a real actual moat with water in it and crocodiles, if that's what you want.
Doesn't this require their private market valuations to go well into the trillions?
No, it’s not. This is a dangerous perspective, usually held by engineers who think that accounting doesn’t matter and don’t understand it.
You MUST accrue the lifetime value of the assets against the capital expense (R&D in this case) to determine the answer to this question.
The company (until this announcement) had raised $17B and has a $14B revenue rate with 60% operating margin.
It is only negative on margin if you assume the prior 14B (e.g. Claude 4.6 plus whatever’s unreleased) will have no value in 24 months. In that case, well, they probably wasted money training.
If you think their growth rate will continue, then you must only believe the models have a useful 9 months or so life before they are break even.
Anthropic is, according to Dario, profitable on every model <<—- they have trained if you consider them individually. You would do best to think “will this pattern continue?”
What is the lifetime value of an individual pretraining run, and what is the cost to do it? Whether it is a net positive seems to still be an open question.
Sorry - if a model costs (say) 20B to train, lasts 12 months before it becomes obsolete, generates 2B/month revenue, but with 1B/month inference costs, then it has lost 8B.
Or are you suggesting that in fact each model comes out ahead over its lifespan, and all this extra cash is needed because the next model is so much more costly to train that it is sucking up all the profits from the current, but this is ok because revenue is expected to also scale?
I haven't used it to replace workers though, only to replace Google search. My company is pushing copilot but it's only $16/user/mo. Hardly lucrative and no moat.
Claude Code and Cowork are incredible products, and can do much more than just search. Lots of people are paying hundreds of dollars a month for them.
If you’re just using AI for search then I can see why you’d not see the value. But many people really are getting a huge amount of value out of agents, and are already paying for it.
That said, agentic search connected to your companies information sources is very valuable on its own. We have just connected up our internal zendesk, Jira, confluence, and github in Claude Code and it’s incredible how useful it is to find information spread across different services in 1 minute instead of it personally taking me 15 minutes of manual search.
Start Claude Code in a big repo, give it a bug report and ask it to come up with a fix, and watch it do hours of work in minutes. It doesn't have 100% success rate, but its ability to navigate code bases and understand how different parts play together has become seriously impressive
Anthropic's marketing somehow punches hard. Not sure why, but the stuff they do sticks. Not because the products are great, but because the way they communicate about it gives people the right feeling. They do have legitimately the best coding model now for most tasks, and for narrative prose, but the marketing stuck and people stan'd them even when they were trailing.
It's Web 2.0 all over again. No moat, winner-take-all (economies-of-scale/network-effect). Just have to out-spend everyone else, and then figure out whether it was worth it all after you win.
Having a cutting edge model that requires tens of billions of dollars to train + a massive concentration of talent and experience + brand + one of, if not the best, coding experiences in Claude Code
At least from the software engineer pleb perspective, their moat is that their tools seem to work well more often than not. I wasn't comfortable with the idea of using GitHub CoPilot as our GenAI solution at work, and apparently that was a widespread feeling, because we switched to Claude Code, and it's been a relatively smooth transition from manual coding to GenAI agentic loops.
These scammers from FTX did put $500 million in Anthropic early on, for about 14% of the company. Later on this was diluted to 8%.
8% of a $380 billion valuation would be a cool 30 billion which I think would have covered the entirety of the fraud and left money for SBF and its friends.
But thankfully around June 2024, the clawback of stolen funds by FTX had its Anthropic shares sold for about $450 million.
I'm glad to know SBF and its scammers friends are going to see exactly jack fucking shit of that money.
They're being told to by management. That says approximately nothing about the relative merits of the two products, but it certainly says something. What, exactly? Who knows...
Other companies have a similar top-down "use Claude" mandate as well.
Is it nothing though? How many Apple employees do you think use Windows? And how many Anthropic employees do you think use GitHub Copilot? I would assume the answer to both is approximately 0.
Until the funding stops for one reason or another and then everyone loses all their money at once like a star that collapses into a black hole singularity in a femtosecond.
It was obviously DOA and waaaayyy outside G'scompetence.
Google somehow manages to fumble the easiest layups. I think Anthropic et al have a real chance here.
In the end I'd rather if both had failed. Although one can argue that they actually did. But that's another story.
That being said, tying bonuses for the whole company on the success of Google+ was too much even for me.
I guess we sort of got it with Slack though
It became clear they where desperate about user numbers when thay forced the merge of Youtube accounts. Or something like that.
It’s the new kids in the block that will make the difference.
You know those lists on twitter about how many companies US has in top 10 and are presented as a win? Those are actually lists of capital concentrations blocking innovation. It looks like US is winning but for some reason life is better in EU and innovation is faster in China.
It’s companies like OpenAI Anthropic that will move US ahead. Even if some core innovation or and capital comes from the establishment.
The GP was talking about Google specifically, and their outcomes on AI are nothing to scoff at. They had a rocky late start, but they seem to have gotten over that. Their models are now very much competitive with the startups. And it's not just that have more money to spend. They probably have more training data than anyone in the world, and they also have more infrastructure, more manpower, more of a global footprint than the startups.
The Innovator's Dilemma is an anecdotal, maybe a statistical relationship at best, but not a fundamental law of nature. When an established company has everything it should take to become a leader in a new industry in theory, and in practice their products are already on par with the industry leaders, you know at some point it becomes rational to think that maybe they might become a leader.
I don’t have any idea what comes next but Google and Microsoft look bad right now because they can’t execute a product strategy.
My personal bias is that either ms or Google or both will land just fine after it all shakes out but they started with a lead and are now playing catch up.
Step 1, find something to innovate on, sell the promise of it to investors. Step 2, build a prototype or worst case, build it for real and start generating income from your truly innovate and unique product. Step 3, get acquired by a large company and then shut down because your product competed with theirs.
End result, general public possibly benefited from your innovation, but in the long run, it was temporary.
Maybe the incentives would be better if it were harder for large companies to acquire small ones? If the path to riches where driven primarily by delivering value to customers. Would love to hear other's opinions on this.
"Get bankrolled by the state at the state's discretion until they get what they want, even if they need to burn $1B to get $1M of value"
and in Europe it's
"Just buy it from the US or China".
Delete all American software, American defense, American energy, and Chinese hardware from the EU tomorrow. That's the deep-seated unease that keeps EU leaders up at night. Europe needs to be doing 3-4% GDP growth annually and have a globally competitive top to bottom tech an defense industry, and it needs that years ago.
The problem is that the EU needs to become more like the US to do this, and for people who grew up under the protective overhang of the soviet collapse, this is mostly unthinkable. Just like the US not bankrolling half of Ukraine's defense would be unthinkable...
This is outdated. Look at page 4 of this report for instance: https://www.kielinstitut.de/publications/europe-steps-up-ukr...
Their data is not perfect as they rely on public sources, and some governments are more transparent than others, but the reality is that US funding all but vanished in 2025.
Back to the topic, there is also a pattern of promising European startups being bought by wealthy USA incumbent companies. This is also happening to established compagnies: see ARM, Alstom Power, etc. As Europe de-couples from the USA in the current context, I suspect (and hope) that such acquisitions will come under more regulatory scrutiny.
> That's why euro leaders have been kowtowing to Trump despite him being a deranged lunatic.
Less to do with economy, more with security. Europe still needs a credible deterrent against Russia, and the US is still its best bet.
[1] https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2Fl...
If that's how it worked, they wouldn't lead in anything, they'd be bankrupt already. They burn state money like VCs burn cash. DeepSeek, Alibaba, Tencent, Xiaomi, Huawei, etc., disprove your point.
Ghost cities, empty high speed rail lines, solar cells being mass produced at a loss.
All these things also produced end products the state wanted, no doubt. But the capital allocation strategy is basically a "throw all the money the leader gives in that direction until the leader says stop".
> A heavily bureaucratic system of bureaucrats incentivized to spend massively to boost their own appearance, and cover up losses/inefficiencies.
In China, if you want to move up politically, you generally need to show results, meaning the province or area you govern is expected to deliver measurable performance (even if politics and connections still matter too). In that sense, you could argue it's more performance driven in some respects than the US.
EVs and solar were clear priorities, and China has been very successful at scaling both and driving costs down. Domestic competition has been so intense (especially in EVs) that margins have gotten extremely thin, and officials have recently signaled they want to curb "irrational" price wars.
> Ghost cities
Sure, some exist, but many of the developments that were circulated online years ago have filled in over time. That said, there's no question a lot of projects stalled or collapsed during the property downturn, especially after China Evergrande and other developers ran into trouble.
> empty high speed rail lines,
I can't speak to every route, but overall the high speed rail network is heavily used. When I traveled in China, it was excellent and extremely extensive. Some lines and stations likely see weaker demand than others, but the idea that it's broadly "empty" doesn't match reality.
> solar cells being mass produced at a loss
With overcapacity and price wars, many firms have faced serious margin pressure and losses though that doesn't mean every producer is losing money on every panel.
In the end, the real question is whether the capital allocation is efficient enough for citizens to benefit and for the country to remain competitive. Empirically, the answer looks closer to yes in industry and infrastructure, while real estate has been a major exception, with real costs and inefficiencies.
Ah! Well, if we put aside "The Innovator's Dilemma" and pick up Reis and Trout's "marketing Warfare," we get the answer. Apple does have an existing business, but investing in AI does not cannibalize it. They can throw money at it, try to find a way to make it work really, really well for consumers on very specific custom hardware in their devices...
Likewise, someone like Google has all the money in the world to throw at it, but they aren't investing in a new market, they're defending their search business against everyone just asking a generative AI Chatbot questions. I\But it's possible for them to screw this up internally over turf wards, just ask the engineers who tried to make search better but were kneecapped by Prabhakar Raghavan who demanded that search be poor enough to drive people to click sponsored results.
In the "Marketing Warfare" model, Apple is attempting a flanking attack: An outsider trying to disrupt the AI giants with an approach that they can't imitate without undermining their value proposition. On-device AI flanks the big giants that areservcie-centric.
And in that model, Google is playing defence, which is what every leader is supposed to do. Their job is to "cover every move," which they are doing in textbook fashion. If AI goes away, Google dry their tears and continue to mine ad revenue.
NVIDIA, and contractors who build data centers, and manufacturers who supply them, will all get rich.
In the long term, big kids win no? The big kids are also going to have an easier time with hardware at scale too
I believe this cultural divide is a big reason America won't make it back to the top - insatiable desire for wealth and a lack of values-based principals. Ironically US companies are the first to tout their 'values' in the workplace.
What top are you referring to?
We're in a thread about a US company announcing its new $30B fundraise from a group of elite US growth investment funds arguing about whether this company will be able to overthrow the $4T US tech behemoth and suggesting that all the other US tech behemoths are actually stifling progress.
If you are in the top 30% of earners, the US is better.
I gotta say, I found this one especially funny as I currently don't have a car and that's actually my biggest luxury: being able to go around without one and no spending time in commute.
Yeah, so I don't want to be a Debbie Downer, but as a European who visited the US, your food is definitely not something I would use as an example of your QoL.
Here in Canada if I have an accident i do not have to worry about being bankrupt if the ambulance brings me to the wrong hospital.
I am really not enthusiastic about the so-called superior quality of life some US-ians like to boast about.
Why? I live in the US. I have the best healthcare coverage in the world. I pay absolutely nothing for it, ever. No matter the cost. And I have access tot he best doctors, innovations, and technology in the world.
Tell me again why your friend would be dead? It sounds like you really have a poor understanding of American health care.
GDP per capita/prosperity is a poor proxy for quality of life. The US is lagging most of the developed world in most quality of life metrics, even as reported by US news outlets, which don't rank the US in even the top 20: https://www.usnews.com/news/best-countries/rankings/quality-...
>Americans have bigger houses, more food, bigger cars,
The size of one's house or car is at best weakly-correlated with quality of life. I would rather not own a car at all and be able to walk everywhere, rather than spend hours of my life commuting in a gigantic SUV.
>bigger salaries, and access to better medical care and schools if they've got an okay job.
The US ranks the lowest in the developed world for life expectancy, and among the highest in obesity globally (obesity being a major determinant of health). The US remains the only developed country where an unlucky dice roll (e.g. genetic-linked cancer) will bankrupt you and destroy the livelihoods of your children.
This is not the flex you think it is.
(The school thing I'll grant you, although in a car-centric country a school 2 miles away often takes like 5 minutes to get to.)
So maybe Google is lagging on truly new products (btw, does Gemini itself with its TPUs count as a new product? I'd say yes), but "old" products are entrenched enough to carry them and compete.
chromeos is 17
android is 18
chrome is 18
google docs is 20
google translate is 20
Look to GCP as an example. It had to be done, with similar competitive dynamics, it was done very well.
Look to Android as another.
It was an idea from the creators of Kubernetes and the execs at Google fought it the whole way
I think it's a slightly different point though. What I'm saying isn't about where the idea came from or whether it was part of some precient top down bet / strategy from the very beginning.
It's more where did the strategy evolve to (and why) and did they mess it up. GCP and Android are good examples of where it at a minimum became obvious over time that these were massively important if not existential projects and Google executed incredibly well.
My point is just that there's therefore good reason to expect the same of LLMs. After all the origin story of the strategy there has a similar twist. Famously Google had been significantly involved in early LLM/transformer research, not done much with the tech, faltered as they started to integrate it, course corrected, and as of now have ended up in a very strong position.
I've yet to see anything that threatens Google's ad monopoly.
It's not that a dominant position goes away overnight. In fact that would be precisely the impetus to spur the incumbent to pivot immediately and have a much better chance of winning in the new paradigm.
It's that it, with some probability, gets eaten away slowly and the incumbent therefore cannot let go of the old paradigm, eventually losing their dominance over some period of years.
So nobody really knows how LLMs will change the search paradigm and the ads business models downstream of that, we're seeing that worked out in real time right now, but it's definitely high enough probability that Google see it and (crucially) have the shareholder mandate to act on it.
That's the existential threat and they're navigating it pretty well so far. The strategy seems balanced, measured, and correct. As the situation evolves I think they have every chance of actually not being disrupted should it come to that.
Google makes money selling ads. Nothing else matters.
In my opinion though this is a race to the bottom rather than a winner takes all situation so I don't think anyone is coming out ahead once the dust settles.
No comment on Google+, Google has a storied history of failure on any kind of social media/chat type products.
Where Google wins is just simply having enough money to outlive anyone else. As the saying goes "the market can remain irrational longer than you can remain solvent" In this case, Google is the market and they can just keep throwing money at the wall until OpenAI, Anthropic, etc. go under.
And there was collaborative editing long before Google Wave.
The current AI market is going to destroy anyone who's specialized into it compared to having alternative revenue streams to subsidize it.
Google does things I hate with their products. But the money printing machine keeps going whrrr faster and faster.
They're engaged in computing research and merely engage in consumer capitalism as a consequence of political and social constraints.
Products are a means to an end not the goal.
OpenAI and Anthropic are product companies and are more likely to fail like most product companies do as they will lack broad and wide depth.
Google has experience in design, implementation, and 24/7 ops with every type of SaaS there is. They can bin LLMs tomorrow and still make bank. Same cannot be said for OAI or Anthropic.
Some technical advancements are not worth it if you do not respect your users.
OpenAI figured this out: it’s awesome marketing when people send each other links to the app with a convenient text box to continue the conversation. It’s viral.
Google meanwhile set this up so that “anyone with the link can view” is actually “anyone with the link and a Google account”.
That’s grade A failure of marketing.
The PM in charge of that decision ought to be walked off a plank.
E.g.: https://aistudio.google.com/app/prompts?state=%7B%22ids%22:%...
The product they released so far are all half assed experiments.
Gemini 3 Pro is now being beaten by open source models because they can't fix or don't want to fix the problems with the Gemini models being completely useless.
The same for Microsoft.
Microsoft had GitHub Copilot, and Microsoft Copilot and both of them are useless to Claude Code and Claude Cowork.
You can have all the money in the world, but nothing is stopping you from building useless garbage.
Gemini is absurdly expensive for low quality (3000 USD of tokens are not even worth what you get @ Anthropic for 200 USD).
Anecdotally GPT was also smarter than Claude which prompted my move from Claude in the first place: Gemini and Claude back in October failed to get their own harness PID.
Outside of anecdata I rely on https://artificialanalysis.ai/models/capabilities/coding for now.
I also tried open code cli and desktop, but how well copilot is integrated into the ide is a plus for me.
What makes them "useless garbage"?
Some of the Big Techs are building their own in house stuff (Meta, Google), but it wouldn't be crazy to see acquisitions by the others, especially if the market cools slightly. And then there's the possibility that these companies mature their revenue streams enough to start actually really throwing off money and paying off the investment.
I wouldn't argue it's that risky. Look at their past entanglements:
1. Google Default Search Bribe - brings in $20B a year for literally doing nothing
2. Google Maps: Google let them build their own custom app using Google's backend, and it worked fine all the way up until Apple chose to exit that arrangement
actually I can't think of any others, but is there an example of Apple getting burned by Google?
Quite the fantasy, you mean.
$200/mo is nothing compared to what that time is worth. and it keeps getting better with each model release, which is the opposite of what usually happens when you pay for developer tools (they get acquired, enshittified, or abandoned).
the meta point about this funding round imo: competition between anthropic, openai, and google is the best thing happening for small builders right now. it keeps the tools improving fast and pricing competitive. if any one of them had a monopoly we'd be paying 10x for worse output.
Anthropic went from zero to $14 billion in revenue in less than 3 years, growing at 10x per year.
That's what they're investing in.
Also Anthropic seems laser-focused, unlike some of their competitors who are throwing stuff against the wall to see what sticks.
It’s the same reason Reid Hoffman sold his AI startup early… he realized he just couldn’t beat Google/FB/MSFT long term if it devolved into a money race.
Basically "we have youtube subscribers" is the only thing that isn't all about AI, but even that i'm sure they're trying to figure out how to shoehorn AI into that product
Google leadership is pathetic.
Sundar "the manager" has presided over an enormous growth of the businesses he was handed. He also presided over the complete collapse of the internal culture. OTOH he may have fired Dianne Green, so that's something. Overall, at best Meh.
Demis ran a startup that burnt cash on vanity projects and continues to burn cash on vanity projects. Gemini is barely open source quality AI, but Google makes it nearly free and has the best distribution on the planet.
Gemini has been a joke since 1.0. No release has hurt Google's brand more. 3.0 was STOA for about 2 days, easily Gemini's best release.
Anthropic and OAI are moving at amazing pace, Google can not keep up at all.
Wild although not entirely surprising. Congrats, Anthropic.
Tech stocks with all the hype are second only to crypto in terms of how easy and fast are to sell (hence BTC dropped and now tech stocks IMHO).
Btw, I was too young to fully remember, but wasn't the year before the dot com crash also full of IPOs?
And thinking about it it makes sense since the decision to pay the outrageous rates for an ad during the Superbowl must be driven by strong emotions (confidence or desperation). In this case, considering there's no clear moat for any of the big players, I believe it's the latter.
https://www.youtube.com/watch?v=CXDxNCzUspM
If you give me $1T to spend, I, too, can probably make $14B (this is a metaphor)
> Claude Code was made available to the general public in May 2025. Today, Claude Code’s run-rate revenue has grown to over $2.5 billion; this figure has more than doubled since the beginning of 2026. The number of weekly active Claude Code users has also doubled since January 1 [six weeks ago].
Doubling both annual run-rate revenue and weekly active users in the first six weeks of this year!
What if their strategy is this: slowly drive down software stocks, keep talking about AI, buy the downward market. Then cash in on the IPOs of OpenAI and Anthropic.
Then let OpenAI and Anthropic implode. Goldman Sachs had no problems underwriting webvan at the end of 1999, which then imploded in 2000.
Anyway, I just valued my dog at $1 billion post-money. You can buy it at pets.com.
Because we live in the worst possible timeline the end result for AI companies does seem to be "too big to fail", where these massive investments will get foisted on working class people via a bailout or an IPO and index inclusion.
OpenRouter and Opencode show you how behind it is, that bootstraps you off of them. They have issues too and Zen is starting to feel icky, but they let you speed run to the next thing.
My sense is that startup mission statements are ~meaningless. Builders try to build great things that lots of other people will find valuable.
Beat OpenAI. The Founders came from OpenAI so there was obviously some disagreement about the direction there or they simply wanted more control.
But I guess it's easier to make a glib comment than look these things up.
Google used to have a motto "don't be evil"
Who enforces the definition of language? Who demands compliance?
Soon as we go down the path of policing and insistence on one true dogma, we veer into religious holy war type behavior.
Obsession with semantics of syntax is a sort of theism even if the syntax and semantics do not refer to the commonly accepted tropes of a specific religion.
I'm not a lawyer (I don't even play one on TV, damn you Odenkirk) so I can't tell you what that means as far as case law for companies getting punished for behaving badly, but in this case, there is supposedly some sort of legal backing for the classification.
Politicians are not interested in assuring such.
Public is busy arguing semantics online; they are not interested in assuring such.
Numerous companies have tried and failed competing with SoTA foundational models. If Anthropic had no moat, Apple and Meta wouldn't be paying them billions for coding asistance.
Meta, Amazon, Apple, and Nvidia would all have SoTA competitors to Claude. They all tried and have not produced a competitor.
Instead you have three companies that stand alone making billions from foundational models.
Big companies are handcuffed by Innovators Dilemna etc.
Two years ago, I considered investing in Anthropic when they had a valuation of around $18B and messed up by chickening out (it was available on some of the private investor platforms). Up 20x since then ...
It was always obvious that Anthropic's focus on business/API usage had potential to scale faster than OpenAI's focus on ChatGPT, but the real kicker has been Claude Code (released a year ago).
It'd be interesting to know how Anthropic's revenue splits between Claude Code, or coding in general, other API usage, and chat (which I assume is small).
I’ve poked around on EquityZen and was shocked at how little information is available to investors. In some cases I did not even see pitch decks, let alone one of the first companies I looked at had its top Google result: CEO recently arrested for fraud and business is almost worthless now.
Unless you are willing to take a blind punt or have insider information, those platforms are opaque minefields and I don’t fault you for not investing.
Matt Levine has a fun investment test: when presented with an opportunity, you should always ask, “and why are you offering it to me?”
Meaning, by the time it gets offered to retail investors (even accredited ones are retail) we’re getting the scraps that no one else wants.
If you are NOT knowledgeable and simply have money ... well it'll soon be parted.
It might be necessary to create a legal basis, but it's just a matter of doing it. If the owners don't like it they can dissolve it.
That's not the sole reason. They (should) also enforce a fair even playing field by preventing market manipulation (e.g. how Elon was tweeting about stock prices) and a few other things to "facilitate efficient markets and the formation of capital".
> Why should SEC rules apply?
Because private companies still fall under the jurisdiction of the SEC? See e.g. Theranos.
> On what legal basis can you force a private company to divulge its financial details?
On the to-be-created legal basis that aims to prevent bubble formation and the resulting fallout to the wider society?
> Would you be happy if you, as an individual, have to divulge your account statements if your own net wealth reaches one million?
Sure, why not? It's not a totally unheard of idea. In Norway everyones salary can be looked up.
if you're smart.
I don't think this is an SEC problem, they are fully aware that people subject to their jurisdiction can jump through many hoops to circumvent them. This shows consent on the investor's part well enough, and capital formation regulations do not burden the investor at all, they are only constitutional because they burden the organization raising capital, who simply needs to do a cursory check - not an in-depth one. (level of depth is based on which regulatory exemption is chosen)
So as long as you separate concerns the SEC is satisfied.
https://www.thesaasnews.com/news/databricks-raises-1b-series...
This was in the middle of the boom when companies were fighting over talent, so I found it odd.
As millipede, clearly therefore millicorn.
Only for well defined tasks. There's not really a practical upper bound. We will keep throwing more complex tasks at it to the extent that it can handle them. Like if you just need fancy OCR, then a specific model will probably suffice, but there will be an appetite for human- or superhuman-level intelligence that never gets tired and has no rights.
The gap is growing and the second derivative is positive. They don't catch up until it saturates.
SaaS and legal market caps have already contracted a multiple of the combined OpenAI + Anthropic valuations just based on the _threat_ of what they may be able to accomplish.
They'll have the data + knowledge edge over open alternatives and be able to implement + deploy (see the story about Anthropic employees being at GS for 6 months already[0])
[0] https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-m...
+ r&d costs
Of course, if one does not "pay" for investment, benefits are easily made ..
But project out forwards.
- What happens when Google builds a similar model? Or even Meta, as far behind as they are? They have more than Anthropic in cash flow to pour into these models.
- What happens when OSS is "enough" for most cases? Why would anyone pay 60% margins on inference?
What is Anthropic's moat? The UX is nice, but it can be copied. And other companies will have similarly intelligent models eventually. Margins will then be a race to the bottom, and the real winners will be GPU infra.
Others are made of different stuff, and are going to go right back to work, even though they could go off to a beach for the rest of forever somewhere.
Doesn't this require their private market valuations to go well into the trillions?
You MUST accrue the lifetime value of the assets against the capital expense (R&D in this case) to determine the answer to this question.
The company (until this announcement) had raised $17B and has a $14B revenue rate with 60% operating margin.
It is only negative on margin if you assume the prior 14B (e.g. Claude 4.6 plus whatever’s unreleased) will have no value in 24 months. In that case, well, they probably wasted money training.
If you think their growth rate will continue, then you must only believe the models have a useful 9 months or so life before they are break even.
Anthropic is, according to Dario, profitable on every model <<—- they have trained if you consider them individually. You would do best to think “will this pattern continue?”
Or are you suggesting that in fact each model comes out ahead over its lifespan, and all this extra cash is needed because the next model is so much more costly to train that it is sucking up all the profits from the current, but this is ok because revenue is expected to also scale?
If you’re just using AI for search then I can see why you’d not see the value. But many people really are getting a huge amount of value out of agents, and are already paying for it.
That said, agentic search connected to your companies information sources is very valuable on its own. We have just connected up our internal zendesk, Jira, confluence, and github in Claude Code and it’s incredible how useful it is to find information spread across different services in 1 minute instead of it personally taking me 15 minutes of manual search.
Valuation behemoth OpenAI has been forced by the market to use Anthropic standards a couple times, having no comparable solutions of their own.
… I can see it.
The fish rots from the head and marketing depends on being relatable.
https://www.youtube.com/watch?v=qMAg8_yf9zA
Take a scroll through the comments.
These are all moats.
Source??
seems like there are a lot of those out there these days, and the costs are falling
> a massive concentration of talent and experience
Apparently 3000 employees? There's plenty of talent to be found elsewhere. Plus employees can be hired away.
> brand
meh.
> one of, if not the best, coding experiences
Seems easy enough to replicate, given how quickly they built it.
Looks like major uptake from businesses. But all these articles keep saying there isn’t any actual value creation?
wonder how much of that $30B will make it their way and pay that down
8% of a $380 billion valuation would be a cool 30 billion which I think would have covered the entirety of the fraud and left money for SBF and its friends.
But thankfully around June 2024, the clawback of stolen funds by FTX had its Anthropic shares sold for about $450 million.
I'm glad to know SBF and its scammers friends are going to see exactly jack fucking shit of that money.
[1] https://en.wikipedia.org/wiki/Post-money_valuation
Citation needed.
That isn’t nothing.
Other companies have a similar top-down "use Claude" mandate as well.