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HERE'S THE ANTHROPIC MODEL: Anthropic will go public at $2T in Oct '26 and will be a $1T ARR company and $10T+ company Dec' 2030 as the winner of AI. Here's how Anthropic gets to $1T ARR in 2030: - 2026E: $125B ARR +14x YoY w/ 5 GW live - 2027E: $266B ARR + 114% YoY w/ 10 GW live - 2028E: $462B ARR +73% YoY w/ 16 GW live - 2029E: $700B ARR +52% YoY w/ 23 GW live - 2030E: $1T ARR + 42% YoY w/ 30 GW live I'm dropping my full Excel model modeling out: - ARR by business model (e.g Consumer, B2B, Enterprise, API) - API business broken down by model type (e.g Fable 5.1, Mythos, Opus, Sonnet) - Training costs and inference cost as a % of revenue - Gross Margin ($ ARR per MW and Cost of Compute per MW) as well as forecasting GW secured. - Net ARR (vs Gross ARR reported by trackers) removing marketplace pay out, Meta, Chinese AI labs - and more I also share the @artemis thesis for WHY Anthropic is the AWS of AI and winner of AI in the enterprise (and open source and ANT / OpenAI can win) Get the full model here: artemis.ai/anthropic-thesis Full Disclosure: I don't have inside information. I took what's publicly available from the July '26 @SemiAnalysis_ model and added my own judgement based on public information and my own world views. I've spent a life time modeling as a former HF and VC analyst. I'll update the model as soon as the S-1 drops.
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The best host of all time @Dr_Crossroads . Loved jamming on Anthropic $1T ARR by 2030 and bull / bear case for $HOOD.
Can Anthropic reach $10T by 2030? (Plus, HOOD Stock) nitter.net/i/broadcasts/1aJbdEpzb…
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Had an awesome Sunday run with @Schoen_xyz and 15 others. Join our TG channel if you wanna join our Sunday runs!
Looking for NYC hoopers for our Sunday 10:30am-12:15pm runs in East Village 🏀 DM or lmk if you’re down.
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Looking for NYC hoopers for our Sunday 10:30am-12:15pm runs in East Village 🏀 DM or lmk if you’re down.
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For folks interested here are the dets and please join this TG group: t.me/+UxypU6rgkn4zNDMx
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WAY easier to be a VC / HF analyst than a venture backed founder. Not even close. Level of pain isn’t even comparable.
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Missionaries always win. 10/10. Mercenaries have short term fuel Missionaries have what it’s take to build enduring legendary companies.
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Keep your heart open, always.
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Thesis: Anthropic will be the first $10T company in the world as labs can be extremely profitable and may win from regulatory capture— not lose. Hear more below. Full thread coming this weekend.
Everyone’s arguing about which AI stock wins. @jonbma (CEO @artemis) thinks Anthropic becomes the first $10T company by 2030 — and he just laid out the full thesis on camera. Most people saw the screenshot. Almost nobody heard the full thesis. Watch it ↓ piped.video/lwWKF_kc0_s?si=qm6K…
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DeFi decade ahead. Kudos @AsadIshmael as the Analyst of the Month. Sick interview by @zhengjielimm
Analyst of the Month #27: @AsadIshmael from @Bitwise
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Anthropic pre-IPO valuation now on Artemis Current pre-IPO markets suggest $1.7T implying 26.8x latest ARR estimates and 13.3x NTM on our forecasts. We estimate Anthropic ARR using alternative data thanks to @ElBarto_Crypto Track live MC/ARR for Anthropic 👀
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You're welcome Anthropic shareholders 🫡.
HERE'S THE ANTHROPIC MODEL: Anthropic will go public at $2T in Oct '26 and will be a $1T ARR company and $10T+ company Dec' 2030 as the winner of AI. Here's how Anthropic gets to $1T ARR in 2030: - 2026E: $125B ARR +14x YoY w/ 5 GW live - 2027E: $266B ARR + 114% YoY w/ 10 GW live - 2028E: $462B ARR +73% YoY w/ 16 GW live - 2029E: $700B ARR +52% YoY w/ 23 GW live - 2030E: $1T ARR + 42% YoY w/ 30 GW live I'm dropping my full Excel model modeling out: - ARR by business model (e.g Consumer, B2B, Enterprise, API) - API business broken down by model type (e.g Fable 5.1, Mythos, Opus, Sonnet) - Training costs and inference cost as a % of revenue - Gross Margin ($ ARR per MW and Cost of Compute per MW) as well as forecasting GW secured. - Net ARR (vs Gross ARR reported by trackers) removing marketplace pay out, Meta, Chinese AI labs - and more I also share the @artemis thesis for WHY Anthropic is the AWS of AI and winner of AI in the enterprise (and open source and ANT / OpenAI can win) Get the full model here: artemis.ai/anthropic-thesis Full Disclosure: I don't have inside information. I took what's publicly available from the July '26 @SemiAnalysis_ model and added my own judgement based on public information and my own world views. I've spent a life time modeling as a former HF and VC analyst. I'll update the model as soon as the S-1 drops.
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HERE'S THE ANTHROPIC MODEL: Anthropic will go public at $2T in Oct '26 and will be a $1T ARR company and $10T+ company Dec' 2030 as the winner of AI. Here's how Anthropic gets to $1T ARR in 2030: - 2026E: $125B ARR +14x YoY w/ 5 GW live - 2027E: $266B ARR + 114% YoY w/ 10 GW live - 2028E: $462B ARR +73% YoY w/ 16 GW live - 2029E: $700B ARR +52% YoY w/ 23 GW live - 2030E: $1T ARR + 42% YoY w/ 30 GW live I'm dropping my full Excel model modeling out: - ARR by business model (e.g Consumer, B2B, Enterprise, API) - API business broken down by model type (e.g Fable 5.1, Mythos, Opus, Sonnet) - Training costs and inference cost as a % of revenue - Gross Margin ($ ARR per MW and Cost of Compute per MW) as well as forecasting GW secured. - Net ARR (vs Gross ARR reported by trackers) removing marketplace pay out, Meta, Chinese AI labs - and more I also share the @artemis thesis for WHY Anthropic is the AWS of AI and winner of AI in the enterprise (and open source and ANT / OpenAI can win) Get the full model here: artemis.ai/anthropic-thesis Full Disclosure: I don't have inside information. I took what's publicly available from the July '26 @SemiAnalysis_ model and added my own judgement based on public information and my own world views. I've spent a life time modeling as a former HF and VC analyst. I'll update the model as soon as the S-1 drops.
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HERE'S ANTHROPIC NET ARR: Anthropic Gross ARR reported to be $65B in July '26 and at $10B net new ARR / month you get $85B Q3'26 and $115B Q4'26. If you remove: - Meta ($5B ARR) - Payout to AWS Bedrock / GCP (20-25% API volume assume 20% take rate - 2% of all API volume is Chinese labd distilling. You get to: $62B Net ARR Q3'26 $82B Net ARR Q4'26. At 20x EV/ARR that implies $1.3T Q3'26 numbers and $1.6T Q4'26. Makes the pre-IPO price of $1.4T on @prestocks make sense.
Anthropic pre-IPO gamesmanship post. Pure speculation but sharing as curious for thoughts. Anthropic shifted from gross to net ARR accounting and stripped out both Meta and Chinese distillation from their $65 billion ARR number. Meta speculated to be over $5 billion in ARR so taking them out means they can easily weather it when Meta turns them off shortly after being public, which is widely expected. Also decreases the odds of Meta turning them off, watermelon quality dependent. All smart. Then release Fable 5.1 so OpenAI feels confident releasing Astra. Vibes here on Astra are really good btw. I think that Astra was probably better than Anthropic was expecting. Now there are whispers that Anthropic has solved Navier-Stokes, which would be super impressive. Anthropic probably releases Fable 5.2, which should be better than Astra unless something is awry, sometime before the IPO. Likely also planning on showing a significant reacceleration in ARR in September which will of course leak to the press. Grok 4.7, Meta’s Watermelon and ChatGPT 6.1 all likely coming in the next 6 weeks as well. All those labs are confident about their roadmaps in a way I have not seen in the last 18 months. And we will see about Gemini 4. Competitors get a vote in all these plans. Grok Bot feels like the best agentic harness yet for enterprise use cases and Instinct is a promising agentic harness for consumer use cases. Should see variations of both from competitors soon. Grok Bot remains transformational for my use cases. And all this is happening into a continued acceleration in overall AI demand. Wild times. As an aside, I think Krishna might turn out to be an exceptional CFO. His former Blackstone colleagues speak super highly of him. Going to be important as communicating clearly to Wall Street if they decide to shift their compute from inference to training will be difficult to digest the first time. Probably worth studying Amazon’s invest and then “check-in” margin strategy from 2010 through maybe 2016, which investors eventually understood.
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HOT TAKE: unclear IF frontier labs CAN generate 30-40% FCF / EBIT margins like traditional SaaS given AI lab unique margin structure with high R&D / Training costs. Let's be clear, EBTIT (@SemiAnalysis_ forecast 36% in Q2'26) is a good way to measure $ labs can re-invest into training but is NOT a profitability metric as training is basically capitalizing R&D -- however, you need training to build models that you then charge a margin on. So training = opex. Even Semi Analysis in July '26 pointed out the margin profile: - Anthropic API = 80% margin - 3rd Party / Resellers = 20% take rate -> Net Gross Margin = 60% for Anthropic - Training & R&D = 48% of Revenue - Other OpEx = 20% of revenue. Gets you to -8% operating margin at steady state. Ok, let's assume Net Gross Margins is 75% (less ARR comes through channel like AWS / GCP and more direct) Your OPEX is still heavy training / R&D + opex at 68%. So we get Anthropic at a 7-10% margin business steady state? Am I missing something? 🤷 Do labs just use their own models to train their frontier models and keep proprietary and reduce staff so OPEX shrinks a ton?
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Bull Case for Anthropic: Krishna Rao CRUSHES it as the face of IR / finance for Anthropic. Anthropic essence = securing compute, allocating towards high $ per GW models / project and then sharing how $ANTH is able to capture 60% GM moving forward. Core driver of IPO will be Krishna ability to explain Anthropic story simply / clearly to Wall Street. Krishan CRUSHED @patrick_oshag question on competition with their customers on @InvestLikeBest -- Krishna shared that value mostly accrues to customers building on Anthropic today and positions Anthropic more as a platform (which makes sense since ~90% of revenue is from API today) and will build verticals as inspiration for customers. Very bullish Anthropic going into the IPO because of Krishna. Bravo.
Anthropic pre-IPO gamesmanship post. Pure speculation but sharing as curious for thoughts. Anthropic shifted from gross to net ARR accounting and stripped out both Meta and Chinese distillation from their $65 billion ARR number. Meta speculated to be over $5 billion in ARR so taking them out means they can easily weather it when Meta turns them off shortly after being public, which is widely expected. Also decreases the odds of Meta turning them off, watermelon quality dependent. All smart. Then release Fable 5.1 so OpenAI feels confident releasing Astra. Vibes here on Astra are really good btw. I think that Astra was probably better than Anthropic was expecting. Now there are whispers that Anthropic has solved Navier-Stokes, which would be super impressive. Anthropic probably releases Fable 5.2, which should be better than Astra unless something is awry, sometime before the IPO. Likely also planning on showing a significant reacceleration in ARR in September which will of course leak to the press. Grok 4.7, Meta’s Watermelon and ChatGPT 6.1 all likely coming in the next 6 weeks as well. All those labs are confident about their roadmaps in a way I have not seen in the last 18 months. And we will see about Gemini 4. Competitors get a vote in all these plans. Grok Bot feels like the best agentic harness yet for enterprise use cases and Instinct is a promising agentic harness for consumer use cases. Should see variations of both from competitors soon. Grok Bot remains transformational for my use cases. And all this is happening into a continued acceleration in overall AI demand. Wild times. As an aside, I think Krishna might turn out to be an exceptional CFO. His former Blackstone colleagues speak super highly of him. Going to be important as communicating clearly to Wall Street if they decide to shift their compute from inference to training will be difficult to digest the first time. Probably worth studying Amazon’s invest and then “check-in” margin strategy from 2010 through maybe 2016, which investors eventually understood.
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Who wants a full Anthropic model 🙋
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