9 ms·

> Since our Series G in February, adoption has continued to grow across global enterprise customers, and our run-rate revenue crossed $47 billion earlier this m

• reactordev 5mo ago
  Shhh, you’ll make the numbers not make sense…
• mgfist 5mo ago
  Pretty unfathomable growth. I'm pretty sure I listened to Dario saying something along the lines of keeping Anthropic on track for 10x ARR growth (in December) and thinking that that was a bonkers idea for a $9B run-rate company, and now it's looking like that might be an underestimate ...
  • cyanydeez 5mo ago
    irresponsible growth
    • tailscaler2026 5mo ago
      not really. just a capacity planning issue on that side. much harder challenge is continuing to train better models.
      • cyanydeez 5mo ago
        having a trillion dollars that need 5x payment un 5 years is insane promise by anything but government. like when you owe a bank a billion dollars, thats the banks problem.
  • Zafira 5mo ago
    Personally, I’m just exhausted. They are not obligated to be truthful here, so the entire thing is interpreted based on vibes. If you are an AI booster, this is proof that the demand is there; if you aren’t, you’re baffled at where these numbers are coming from.
    • simonw 5mo ago
      I think lying about their numbers now is risky if they're planning on an IPO this year - the real figures will come out in the S-1, and investors don't like untrustworthy companies. Update: this inspired a note on my blog: https://simonwillison.net/2026/May/29/anthropic/ https://simonwillison.net/2026/May/29/anthropic/
      • deleted 5mo ago
        [deleted]
      • SpicyLemonZest 5mo ago
        > (Also in Axios today is an anonymously sourced note that "An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees" - times that by 12 and you get an extra $6 billion in annualized run-rate!) This one client, then, is 12.8% of Anthropic's run-rate revenue? That does not exactly fill me with confidence that it's a meaningful number. Doesn't this suggest run-rate revenue will fall off a cliff if Anthropic customers start applying cost controls?
        • simonw 5mo ago
          Maybe? We don't know if that Axios anonymous note is accurate, and we don't know how Anthropic are actually calculating annualized run-rate - I'm just guessing that they might be taking that monthly number x12. If they really did count that one customer as $6B it means they've gone from $30B in April to a mere $41B in May.
        • 3ff 5mo ago
          lmao got him. im really not sure why he keeps parroting on about this. its all irrelevant frankly. companies play games. non-gaap revenue recognition, adjusted operating income.... boo-ya. wait for the somewhat official doc's to come out, then its worth talking about.
• ratakh 5mo ago
  [flagged]
  • photonair 5mo ago
    If these are fake revenues, I would think that the sophisticated investors would see through that? Or everyone is just in some ponzi scheme raising valuation and letting the last investors hold the bag or eventually pass it on to retail investors buying at the peak?
    • techblueberry 5mo ago
      Anthropic is private. They talk all The time about their numbers being non-gaap run-rate revenues mean extrapolating a month out to a year. All they have to do is book a big deal in May and multiply by 12. It’s probably still impressive growth, but probably not as impressive as it looks.
      • Escafati 5mo ago
        [dead]
      • simonw 5mo ago
        According to https://www.axios.com/2026/05/28/ai-spending-roi-enterprise-costs https://www.axios.com/2026/05/28/ai-spending-roi-enterprise-... > An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees Times that by 12 to annualize it and you get to add an extra $6 billion to the number!
    • fsuts 5mo ago
      Yes Everyone is in the same bag, get it IPO’d and then let the retail investors and tracker funds worry long term
  • Game_Ender 5mo ago
    It’s becoming like the iPhone, once the software has access to “Claude”, everyone in the org wants it. Finance wants it for excel, marketing and design for image generation, compliance for working with documents. Sure it’s not software engineering rates, but it increases the user base beyond software developers.
• mNovak 5mo ago
  The wild thing to me, is that they're serving $47B run rate worth of requests on maybe 2-3 GW of compute currently [1], of which only a fraction goes to inference, vs R&D and training. Obviously there have been complaints on token limits and such so they're stretched a bit thin, but nonetheless. Hard to imagine what a world with 100GW of compute looks like. [1] https://epochai.substack.com/p/frontier-labs-dont-use-most-ai-compute https://epochai.substack.com/p/frontier-labs-dont-use-most-a... ^^ This quotes 1.4GW at the end of 2025. Add 0.3GW at Colossus 1, and some initial fraction of 1GW Trainium2 from [2] [2] https://www.anthropic.com/news/anthropic-amazon-compute https://www.anthropic.com/news/anthropic-amazon-compute
  • jillesvangurp 5mo ago
    It gets better; most of their incoming requests don't actually require a frontier model to handle. There's a huge potential for future optimization in this space. Anthropic, OpenAI, Google and a few other companies are going to be well positioned to scale in the few years. A 65$ billion round to finance operations over the next few years isn't that controversial if you look at the growth and profit potential. I think token counts and GW are a gross over simplification here. Not all tokens are the same in the amount of GPU time they consume or the size of the GPUs they require or the amount of energy they consume. There's a huge optimization potential here once these companies get serious about consolidating the business they have and executing much more efficiently. Given enough time, these companies can heavily optimize their operations. Short term growth and not slamming the brakes on that is their primary concern.
    • 0xDEAFBEAD 5mo ago
      Where's the moat though? What prevents a race to the bottom with competing AI providers, everyone trying to undercut one another?
      • epolanski 5mo ago
        I'm also thinking the same. I have been trying Claude Code with DeepSeek 4 apis, and the experience is barely different. In fact the margin of error is so small that harness and prompting account for the most impact in output quality. But, here's the catch: I spend barely more than a handful of dollars per day of regular usage. In fact DS4 via api is cheaper than Claude 100$ subscription. I really think that very soon many will start realizing that the alternatives are extremely close in performance but dramatically different in pricing.
• mountainriver 5mo ago
  Huh I thought AI didn’t have any use cases /s
• namenotrequired 5mo ago
  Nitpick: earlier this month ≠ in early May. “Earlier this month” includes yesterday
• dzonga 5mo ago
  ARR vs realized revenue are two different things - in software we like to conflate those 2. funny enough - those 2 might not meet. then what happens ? Instead of ARR they should report actual revenue for once.