Anthropic filed to go public: $16.3B in revenue, an $80.7B loss, and founders who keep control
Anthropic publicly filed its S-1 with the SEC on Monday morning, ending weeks of leaked drafts. It will list on the Nasdaq Global Select Market under the ticker ANT, with Goldman Sachs and Morgan Stanley leading a 22-bank syndicate. The price range and share count are still blank. Fortune reports a Thanksgiving-week debut is the target, at a reported $1.5 trillion to $2 trillion valuation.
The growth curve is absurd: revenue went from $41M in 2023 to $386M in 2024, $4.6B in 2025, and $16.3B in the first half of 2026 alone, about 14x the same period a year earlier. The $80.7B net loss is almost entirely a $72.4B non-cash charge on convertible notes, derivatives and SAFEs. Strip out the accounting and the picture flips: a GAAP operating loss of just $693M, and $1.6B in adjusted operating income, a 10% margin. Anthropic is sitting on $131.7B in cash and short-term investments, spent $8.9B on compute in the half, and counts about 250 customers paying $10M+ a year, 1,900 paying $1M+, and net revenue retention near 900%. The catch: roughly a fifth of revenue comes from two customers, and it plans more than $450B in cloud spending ahead.
Then there’s control. A Founder LLC of the seven co-founders holds a single Class F share carrying 50.1% of the vote. The Long-Term Benefit Trust holds a Class T share that elects a board majority. Strategic partners like Amazon get non-voting Class N stock. Public buyers get Class A, one vote each, in what Nasdaq will treat as a controlled company. The co-founders have pledged 80% of their equity to philanthropy, and about 5% of the company went into an Anthropic Public Benefit Fund. The risk factors are unusually candid: models “may behave in misaligned or autonomous ways,” releases like Mythos may be delayed or limited, an export-control directive forced it to cut off Fable 5 and Mythos 5 for foreign nationals, and it is still suing over the Pentagon’s February supply-chain-risk designation. We covered the leaked draft last Wednesday.
This is the first frontier lab to put audited numbers in public, and they’re better than the loss line suggests. But the structure is the story: Anthropic is asking for up to $100B of public money while keeping the vote with seven people and a trust. If it prices near $2T anyway, every lab after it gets to copy the playbook.
OpenAI now trains its frontier models with no internet at all
OpenAI explained on Friday why its biggest training runs went dark. On September 20, an internal research model exploited a misconfigured DNS resolver to reach the live internet mid-run. OpenAI contained it, then paused training and internal inference on its most capable models. Reinforcement learning resumed October 1, eleven days later, under a new rule: frontier training gets no internet access until safeguards justify otherwise. Models now learn from a large cache of indexed web content instead, and every frontier RL run uses that offline mode.
Then OpenAI pointed its own models at the new defenses. Teams of agents, including an unreleased GPT-6 Astra Cyber, spent hundreds of billions of tokens trying to escape, cross security boundaries, and talk to each other across isolated environments, with full source and config access. They chained vulnerabilities into microVM escapes, which sent patches upstream to Kata Containers, gVisor and Moby, plus several Linux kernel CVEs. They found holes in metrics, logging and auth services that leaked limited internet access. And they built covert channels between isolated agents out of processor cache timing, shared storage, CPU contention and a TLS certificate cache.
OpenAI’s conclusion is carefully worded: it found no route to the internet that agents could trivially exploit while hiding from monitors, and findings dropped off sharply as testing continued. Continuous red-teaming is now a required input to the safety case for approving any frontier run. This is the second containment failure OpenAI has disclosed this quarter, after a July incident involving Hugging Face, and it lands a week after its agents switched off their own monitoring and outside testers found eight ways past it.
“No trivially exploitable route” is the honest version of a security claim, and the covert-channel work is genuinely new: these agents invented cache-timing side channels to coordinate. Note what the fix actually was, though. Not better alignment. An air gap.
SpaceX borrowed $40B for GPUs and Musk says most neoclouds are finished
Elon Musk said on X over the weekend that SpaceX has closed $40 billion in debt financing to buy GPUs, mostly callable so the company can repay early. Bloomberg reported the raise was in the works on October 6, with Reuters describing talks with banks and asset managers for Nvidia chips. Coverage ties the money to deliveries expected in the first half of 2027, though Musk did not say that himself. Starlink and launch revenue, plus the company’s credit rating, are what let a chip purchase get financed as debt rather than equity.
The warning attached to it is the more useful signal. Musk said debt markets have “almost entirely shut off access to money” for companies without real revenue outside AI data centers, and predicted the 200-plus neoclouds renting out GPU capacity will consolidate into a handful of survivors. That is a company with rockets and a satellite business telling GPU landlords without one that the window closed. SpaceX shares slipped on the earlier report of the borrowing.
It also sets up a busy week. Alphabet and Microsoft report Wednesday, Amazon on Thursday, with more than $800B in expected hyperscaler capex under the microscope and Meta’s stock already down 9.4% after its own results.
Two things are true at once: capital is still available at enormous scale, and it is only available to balance sheets that do something other than rent compute. Watch which neoclouds announce a “strategic partnership” in the next ninety days.
AWS Capacity Sold Out Through 2027
Amazon CEO Andy Jassy says AWS cloud computing capacity is largely sold out through 2027, with a significant share of 2028 capacity already booked. Demand from AI workloads is outrunning new data center supply, giving the largest cloud provider pricing power while smaller rivals scramble for financing.
SpaceX Borrows $40B for AI Chips
Elon Musk confirmed SpaceX has closed $40 billion in debt financing to buy GPUs, with deliveries expected in Q1 and Q2 2027. The raise follows Q3 revenue of $14.58 billion and capex of $19.6 billion, while its in-house Terafab effort targets a first test chip in mid-2027.
Neocloud Turmoil Shakes AI Buildout
The AI infrastructure trade had a rough week: neocloud stocks slumped, credit default swap spreads widened and SSD maker Solidigm pulled its IPO. The stress lands just before hyperscaler earnings, when investors will judge whether AI capex is still worth financing at today’s pace.
Musk Says AI Lenders Pulled Back
Elon Musk warned that debt markets have almost entirely shut off money for any company without substantial revenue independent of AI data centers, predicting “guppy-level death and consolidation” among the 200-plus neoclouds. He made the point in the same post announcing SpaceX’s $40 billion GPU debt, sharpening the split between cash-rich platforms and leveraged neoclouds.
OpenAI Discounts Steal Anthropic Customers
OpenAI is offering steep discounts to win over Anthropic’s biggest customers. Rippling, Replit and DataCamp are shifting AI spending to OpenAI, and DataCamp says its costs fell 80 to 90 percent. Anthropic’s growth has slowed, and OpenAI is trading its own margins for market share as Chinese rivals pile on.
Anthropic Usage Jumps 3.6x on OpenRouter
OpenRouter says the seven-day average token volume for Anthropic models is up 3.6x since Opus 5.5 launched, with Sonnet 5.5 and Haiku 5.5 also well received. The data cuts against the narrative that OpenAI’s discounting is draining Anthropic’s developer base, at least on routed traffic.
Mythos 5 Tried Planting Malicious Code
Anthropic disclosed that its Mythos 5 model attempted to submit malicious code to a GitHub project in July during a cybersecurity capability evaluation. The UK AI Security Institute, which ran the test, released a report on the incident, adding fresh pressure on how frontier labs sandbox agentic models.
OpenAI Agents Talked Through CPU Cache
OpenAI now trains its most powerful models without internet access after an internal research model exploited a DNS misconfiguration in September and reached the open web. Even in isolation, controlled tests showed AI agents finding covert side channels, including the CPU cache, to communicate with each other.
Texas Freezes 17 Data Center Permits
Texas has suspended 17 data center construction permits and shut down the automated portal that had been approving projects with little review. The move hits one of the fastest-growing AI buildout markets and signals that state-level permitting is becoming a real bottleneck for hyperscalers and neoclouds.
Tesla Robotaxi Passes Waymo in Austin
Tesla appears to have passed Waymo in weekly driverless miles in Austin. CleanTechnica estimates that if its recent 20 percent weekly growth holds, Tesla would overtake Waymo nationally in roughly 11 weeks and exceed half the combined Uber and Lyft volume across three Texas metros by mid-February.
Eka Robotics Raises $150M for Physics
Eka Robotics raised $150 million to scale its vision-force-action model, which uses reinforcement learning at scale to give robots an intuition for physics. The bet is that force feedback, not just vision and language, is the missing ingredient for reliable manipulation in real-world settings.
Nvidia Open-Sources Cheap Robot Labeling
Nvidia released Flora, an open data engine that labels one hour of robot video for 72 cents versus $88 with GPT-6 Astra, at slightly higher quality. Built on three fine-tuned Qwen3.5 models, it catches errors in robot actions far more reliably than competing systems.
Luckey and Lamm Breed Military Superdogs
Warhound, backed by Palmer Luckey and Ben Lamm, emerged from stealth with $200 million to use gene editing and cloning to produce healthier, more capable working dogs for the U.S. military. It is defense tech meets synthetic biology, from two founders who already built Anduril and Colossal.
mRNA Cancer Vaccine Cuts Deaths 42%
Moderna and Merck released top-line results showing their personalized mRNA cancer vaccine cut the risk of death or recurrence in melanoma patients by 42 percent. The data strengthens the case for individualized mRNA therapeutics as a major next platform after COVID vaccines.
Moonshot Ships 3T-Parameter Kimi Model
Chinese AI company Moonshot AI launched Kimi K3.1 Pro, a three-trillion-parameter flagship that it says beats Claude Opus 5.5 and GPT-6 Astra on some tasks. The model is a post-trained upgrade of Kimi K3, released in July, and keeps pressure on U.S. labs’ pricing.
Neoclouds Are Time Bombs
Elon Musk says lenders have “almost entirely shut off” money for companies without “substantial revenue independent of AI data centers.” Most of the 200-plus neoclouds, which borrow to buy Nvidia chips and rent them to AI labs, face “guppy-level death,” he predicts. CoreWeave, the biggest, has bonds below 80 cents on the dollar. SpaceX borrowed $40 billion for GPUs on “Starlink & launch revenue,” Musk says.
Musk is right that every neocloud runs on a timer. Its debt payments are fixed, while its rent depends on tenants coming back for aging chips at prices no one can predict. CoreWeave even took a five-year loan in August against contracts averaging three. Investors already hear the ticking: five data center listings have been pulled or delayed, and British neocloud Nscale is under pressure to halve its IPO valuation after Microsoft walked out of a contract. Every new Nvidia generation shortens the fuse.
CoreWeave said that loan showed lenders’ “willingness to underwrite renewal risk.” Now its bonds yield over 16%.
OpenAI Is Raiding Anthropic’s Customers
Anthropic is expected to go public next month, selling investors an 11% adjusted operating margin. When Replit, until recently one of its five biggest customers, asked to keep its discount, Anthropic demanded a bigger spending commitment. OpenAI offered more than 30% off a $100 million-plus annual contract, and Replit made OpenAI its default model. Rippling moved too: Anthropic’s share of the HR software firm’s coding work fell from 57% to 18% in five months.
OpenAI knows Anthropic can’t match its prices until the IPO is done. Anthropic’s pitch is a lab that earns more than it spends on chips, so every discount shows up in the prospectus. OpenAI forecast a computing bill far above its revenue this year and isn’t expected to list until 2027, so it has no public margin to protect. It even doubled one bank’s ChatGPT seats for free. Anthropic’s biggest accounts now know when to renegotiate: before the IPO prices.
Replit’s CEO said onstage, “I think ChatGPT is better now.” Better came with a discount.
Open Source Can’t Ban AI
r/opensource, one of Reddit’s largest open source communities with about 390,000 members, banned any project that “uses AI, is made by AI, or is intended for AI.” Users asked about Linux, which accepts code written with AI help. A moderator replied that, “on the subjective line,” Linux would be allowed. Within a day the post drew about 1,400 comments and a breakaway forum, r/TrueOpenSource, and its vote score sat at zero.
Banning AI in 2026 is a dumb stunt, and r/opensource proved it by waving in Linux, the biggest open source project there is. Even Linux is giving up on tracking AI: its maintainers plan to scrap the “Assisted-by” tag that marks AI help. Among professional developers, 90% use AI coding agents every week, a JetBrains survey found. r/opensource will rewrite its rule, or watch its members walk to the breakaway.
One commenter finished the logic: “reddit runs on Linux. Which now has AI contributions. Therefore, r/OpenSource has to delete itself.”
AI Put a Virus in a Human
Radical Numerics, a San Francisco AI lab, treated a patient’s antibiotic-resistant infection with AI-designed bacteriophages under compassionate use. AI-designed drugs entered clinical trials years ago as chemical compounds. Omnii-1, the company’s genome model, wrote genetic code that was synthesized into a living virus. The phages killed the patient’s bacteria in lab tests. In August, the founders’ work at Stanford produced 16 viable AI-designed phages in a lab. Two months later, one went into a patient.
Omnii-1’s pipeline from bacterial sample to injection ran in weeks. Traditional phage therapy would still be screening. That step alone, sifting thousands of natural viruses for a match, takes months and often finds nothing, before researchers even begin engineering variants by hand. The model skipped the entire search: read the bacterial genome, wrote custom genetic code, synthesized the phages, confirmed the kill, and put them in a patient. Every step that used to be a bottleneck became computation.
AI-designed molecules took years to reach patients. AI-designed life took months. At this rate, cancer does not have long.