Anthropic S-1 Deep Dive

Weekly Wrap · IPO filing deep dive

Anthropic

Everything important in the S-1, explained from first principles: how the company sees AI, what it sells, the numbers, the compute behind it, the people, and who controls it after the IPO.

Form S-1 filed 26 Oct 2026Proposed ticker: ANTNasdaq Global Select MarketAll figures in US$, calendar years
🌯 TheWrapNot investment advice. For educational purposes only.

The plan

Seven parts take the 614-page filing down to what matters

1

How Anthropic sees AI
Powerful AI, scaling laws, closing the loop, virtual collaborators

2

Frontier AI from first principles
Tokens, training, inference, agents, compute, the value chain, competition

3

Products and customers
Models, platform, Claude Code, Cowork, verticals, who pays and how much

4

The numbers
Revenue, mix, costs, margins, the $80.7bn loss, quarterly trends

5

Compute and capital
Chips, data centres, the Amazon, Google, Broadcom and AMD deals, funding, debt

6

People, research and safety
Founders, board, talent, scaling policy, constitution, incidents, regulation

7

The IPO and who controls it
Offering, public benefit corporation, five share classes, the trust, ownership

How to read this deck

Every fact comes from the S-1 itself. Where Anthropic states a belief or a plan, the slide says so. Where the draft leaves a figure blank, the slide says it is not yet disclosed.

Conventions

FY = calendar year to 31 Dec. H1 = six months to 30 Jun. 9M = nine months to 30 Sep. “Adjusted” = the company’s own non-GAAP measures. $bn = US$ billion.

Source: Anthropic S-1 (26 Oct 2026). Structure by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Anthropic at a glance

A research lab that went from $0 at commercial launch in Q1 2023 to $16.3bn of revenue in H1 2026

Anthropic builds Claude, a family of frontier AI models, and sells access to it through an API, a developer platform and applications such as Claude Code and Claude Cowork. It was founded in 2021 and is a Delaware public benefit corporation.

$16.3 bn
Revenue, H1 2026. H1 2025 was $1.2bn.
~900%
Net revenue retention at 30 Sep 2026
11,900+
Customers paying $100K+ a year (TTM, 30 Sep 2026)
+10%
Adjusted operating margin, H1 2026
$131.7 bn
Cash and short-term investments, 30 Jun 2026
$141.1 bn
Total capital raised to 30 Jun 2026
~5,300
Employees, 30 Sep 2026
$80.7 bn
Net loss, H1 2026, mostly a non-cash fair-value charge

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary".

🌯 TheWrapNot investment advice. For educational purposes only.

What this document is

The S-1 is the first public step of a US IPO, and this version is still a draft

File the S-1
A registration statement with the US SEC. It describes the business, risks, financials and governance. This one is a draft.
SEC review
The SEC comments, and the company files amendments. Blanks such as the price range are filled in later versions.
Price range and roadshow
The company and its banks set an expected price range and meet investors.
Pricing
The final price and number of shares are set shortly before trading begins.
Listing
Shares start trading. Here: Class A shares on the Nasdaq Global Select Market under “ANT”.
In plain words: S-1

The document a company files with the US securities regulator before it sells shares to the public for the first time.

This is a preliminary prospectus

The cover states it is incomplete and may change. The price range, share counts, offering size, Q3 2026 revenue and several other figures are blank in this version.

Source: Anthropic S-1 (26 Oct 2026), cover page and "The Offering". IPO process description by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Timeline

Almost six years from incorporation to an IPO filing

Jan 2021
Incorporated as a Delaware public benefit corporation by seven co-founders
2023
Long-Term Benefit Trust set up. Commercial launch of Claude in Q1, from $0 revenue
Feb 2025
Claude Code released as a research preview
2025
$1.5bn Bartz settlement booked. Revenue reaches $4.6bn for the year
Sep 2025
Detects a state-sponsored group misusing Claude Code in a cyberattack
Jan 2026
Claude Cowork released as a research preview
Apr 2026
Mythos released only as a gated preview via Project Glasswing
Jun 2026
US Commerce export restrictions on Fable 5 and Mythos 5; models disabled until lifted
H1 2026
Revenue $16.3bn; adjusted operating margin +10%
Sep 2026
10-for-1 stock split (17 Sep). Cowork and Claude.ai begin merging
Oct 2026
FTC civil investigative demand received
26 Oct 2026
S-1 filed with the SEC

Amber dots: safety, security and regulatory events the S-1 discloses.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary", "Business", "Risk Factors", "Management's Discussion and Analysis".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1

How Anthropic sees AI

The worldview the S-1 sets out: what Anthropic believes AI is becoming, how it explains progress, where it sees the opportunity and why it says safety sells. Every view in this part is the company's own.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic calls itself "first and foremost a research lab" with five core advantages

"We are first and foremost a research lab. Our mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity."Anthropic, S-1 Business overview. Founded 2021 by a team of AI researchers.
Frontier AI

The S-1 defines it as AI systems at the current leading edge of capability and safety, performing at or near the highest level of any existing system across a broad range of tasks.

The five "core advantages" Anthropic lists. It says the mission (1) directs the other four.

1

Mission & Focus

One mission guides every decision and keeps talent, research and compute on the highest-value work.

Anthropic says safety and capability must advance together.

2

Talent & Culture

The mission attracts researchers; a low-ego, truth-seeking culture keeps them.

Founding team originated Scaling Laws, GPT-2/GPT-3, RLHF and mechanistic interpretability.

3

Frontier & Safety Research

Capability and safety research are integrated and shape design, training and deployment.

Each Claude version helps build the next: "closing the loop".

4

Approach to Compute

Compute from several partners is run as one fungible pool and sent to the most productive workload.

Four chip families: AWS Trainium, Google TPUs, NVIDIA GPUs, AMD GPUs.

5

Enterprise Strategy

Research, roadmap, sales and Applied AI teams are organised around enterprise use cases.

Anthropic says enterprises are where impact is greatest and feedback richest.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic believes "Powerful AI" with five attributes will be widely available within a few years

The five attributes of "Powerful AI", as the S-1 lists them

1

Expert-level thinking. Cognitive capabilities matching or exceeding top human experts across most professional and scientific disciplines.

2

Every virtual interface. Can navigate text, audio, video and direct computer control, like a human working virtually.

3

Long autonomous work. Reasons through complex tasks over hours, days or weeks, and asks for clarification when needed.

4

Works in teams. Coordinates across multiple copies of itself and collaborates with humans and other AI systems.

5

Reaches the physical world. Digitally controls laboratory equipment, robotic systems and other machines.

Powerful AI

Anthropic's term for "a highly capable and impactful form of frontier AI" with the five attributes on the left.

Within a few years
When Anthropic believes Powerful AI "will become widely available". This is the company's belief, not a dated plan.

What Anthropic says it could do, if risks are managed

  • Compress decades of scientific progress into years
  • Speed up drug discovery, disease detection and personalised therapy
  • Tailored education and expert financial and legal advice
  • Better power grids and battery design
  • Bring capabilities to the developing world that took wealthy nations generations

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

The S-1 says AI performance has improved predictably as model size, data and compute grow

1x10x100x1,000x10,000xModel size, training data and compute (each step is 10 times more, log scale)Model performanceScaling Laws trendAnthropic's claim: research and computemultipliers can beat the trendIllustrative

Illustrative shape only, drawn by TheWrap. The S-1 gives no chart or numbers for this relationship.

Scaling Laws

The S-1 describes them as the empirical finding that AI model performance improves predictably as model size, training data and compute increase.

  • Lead authors of the foundational paper, Scaling Laws for Neural Language Models, included Dario Amodei, Jared Kaplan, Sam McCandlish and Tom Brown, who later co-founded Anthropic.
  • Anthropic says it was founded on the conviction that Scaling Laws are "the primary engine of AI progress".
  • It expects capabilities to keep advancing for many years and demand to outstrip supply, limited mainly by compute.
  • It says labs with proprietary methods, data quality and talent can outpace what scale alone predicts.
The S-1's own caveat (Risk Factors)

The extent, efficiency and durability of these gains are uncertain. The relationships "may plateau, diminish, or fail to materialize at larger scales".

Source: Anthropic S-1 (26 Oct 2026), "Business"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic says each Claude model now helps build the next one

"Closingthe loop"Claude model, version Nthe current modelClaude works on thenext model: runsexperiments, makes trainingdata, automates evals andsafety audits, writes codeResearchers find computemultipliers fasterVersion N+1more capable, trainedand served more efficiently
Compute multipliers

Algorithmic and method improvements in training and inference that get more useful output from the same amount of compute (S-1 definition).

>90%
of contributions to Anthropic's codebase in Sep 2026 were written by Claude
45x+
daily code per engineer, 3 months to 30 Sep 2026 vs year to 31 Dec 2024
~90%
Claude success rate on hard, open-ended engineering problems, Sep 2026, up ~50 points in 9 months (internal benchmark)
250x+
growth in value of Anthropic's internal Claude use at list prices, Jan to Sep 2026
Risk the S-1 names

Using AI to build more capable AI could pose "a considerable safety risk". Its Responsible Scaling Policy covers what has been termed "recursive self-improvement".

Source: Anthropic S-1 (26 Oct 2026), "Business"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic describes two self-reinforcing loops: one improves Claude, the other funds it

ImprovementloopEnterprises deploy Claudein productionAnthropic learns the hardproblems, edge cases anddomain challengesModels, platform and appsimprove from customerfeedbackWider deployment andadoptionInvestmentloopRevenue from expandingenterprise adoptionFunds compute, researchand talentClaude's capabilitiesadvanceMore tasks and workflows:larger addressable market,deeper deployment

Anthropic says its "scale and growth create self-reinforcing loops" and that it believes these "create durable competitive advantages". The first loop uses customer feedback to improve Claude; the second turns revenue into the compute, research and talent that pay for the next model.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic's stated end point is "a country of geniuses in a data center"

EARLIER AIA tool that respondsto discrete promptsEARLIER CODING AISuggests the nextline of codeTODAY, PER THE S-1Virtual Collaborator:Claude Code plans, writes,tests and debugs code;Cowork does knowledge workBUILDING TOWARDSOpen-ended tasks lastinghours, days or weeks,done autonomouslySTATED END POINTMillions in parallel:"a country of geniusesin a data center"
Virtual Collaborators

Anthropic's name for AI systems that work alongside humans on complex, multi-step work at professional level. They carry the access rights, system connections and context their organisation grants them.

  • What makes Claude Code one, per the S-1: sustained reasoning, a harness that turns intent into actions, a persistent execution environment, links to existing tools, and an easy interface.
  • Coding was the first category to cross over: within roughly a year Claude went from suggesting single lines to running fleets of agents across production codebases.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic sizes its opportunity mainly by the value of knowledge work, which it puts at $40T+

$40T+
Economic value of work done by knowledge workers globally, 2025. Anthropic's own estimate.
$22.5T
Cumulative global economic impact of AI solutions and services by 2031. IDC estimate quoted in the S-1.
1bn+
Knowledge workers globally in 2028. IDC estimate quoted in the S-1.
$2T+
Annual global pharmaceutical spend expected in 2026. IQVIA estimate quoted in the S-1.

How Anthropic says it built the $40T+ knowledge-work figure ("Industry, Market, and Other Data")

1US wages, 2025Take US wage data by occupation(Bureau of Labor Statistics) andsum the knowledge-work subset.2Global wages, 2025ILO share of global GDP paidas labour income, applied to2025 global GDP.3RatioTotal US wages comparedwith global wages, 2025.4Scale upApply the ratio to USknowledge-worker wages to geta global figure: $40T+.

The S-1 calls the result "the annual economic value represented by global knowledge workers". It says it has not independently verified the third-party data behind its market figures. The four numbers measure different things and are not additive.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business"; "Industry, Market, and Other Data".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic names life sciences, robotics and science as new markets frontier AI could open

Life sciences and drug discovery

$2T+
expected annual global pharma spend, 2026 (IQVIA, quoted in the S-1)
  • Claude is used in drug discovery by customers, biotech partners and Anthropic's own researchers
  • Anthropic built a molecular biology lab and bought Coefficient Bio, a computational biology company (Apr 2026)

Robotics and physical work

Preview
stage of the Model Hardware Standard (research preview)
  • Lets AI agents find, understand and safely operate lab and manufacturing equipment
  • Examples named: microscopes, liquid handlers, off-the-shelf robotic arms. Model-agnostic, works over standard protocols such as MCP

Scientific research

60+
scientific databases Claude Science queries
  • Claude Science: a desktop workbench for literature analysis, data processing and manuscript preparation
  • Research users named include the Garvan Institute, Gladstone Institutes and UCSF

Example: Mars

1st
AI-planned drive on Mars, per the S-1
  • NASA engineers used Claude Code to plan and write navigation commands for the Perseverance rover
  • The S-1 gives it as an example of Claude Code's "highly varied and often surprising" uses
Other domains the S-1 names as possible new markets:advanced manufacturinglogisticsmaterials sciencehealthcarecybersecurity
MCP (Model Context Protocol)

An open standard Anthropic introduced in November 2024 that gives AI tools one common way to connect to data sources, tools and workflows.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 1 · How Anthropic sees AI

Anthropic argues safety sells: enterprises choose AI on trust

Risks the S-1 describes

Misuse

Bad actors have already run high-profile cyberattacks using AI to find vulnerabilities, write malware and evade detection. Misuse in biology "could result in even greater harm".

Concentration of power

AI at scale could concentrate power and wealth within and between countries, eroding trust and destabilising the geopolitical order.

Misalignment

Misaligned AI could corrupt institutional decisions or cause large-scale harm through autonomous actions that users and operators cannot see or understand.

Prompt injection

Malicious instructions hidden in content a model reads, such as a website or document, meant to hijack its behaviour.

Why Anthropic says safety is also commercial

Safety research

Alignment, interpretability, safeguards, red-teaming and external reviewers.

▼

Better-behaved models

Anthropic says well-aligned models follow instructions, avoid destructive actions without understanding intent, and resist prompt injection.

▼

Enterprise trust

"Rigorous safeguards, predictable model behavior, and demonstrable accountability" are, in its view, "decisive criteria" when choosing an AI partner for mission-critical work.

▼

Wider delegation

Trust lets enterprises expand the work and systems they hand to Claude.

Example it gives: in April 2026 its frontier model Mythos was first released only as a gated research preview (Project Glasswing) because of its cyber-vulnerability skills.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary"; "Business"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2

Frontier AI from first principles

How a large language model is built and run, what a token is, how agents work, what compute means, who sits where in the value chain, how the money flows and who Anthropic competes with. Definitions follow the S-1's own glossary.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

A model is built in two training stages, then run for users in a stage called inference

DATATraining dataText, code, images, audioand video. Public web data,licensed or commissioneddatasets, synthetic dataSTAGE 1Pre-trainingModel learns generalpatterns by predicting thenext token. Output: a"base model"STAGE 2Post-trainingRefines behaviour: RL,RLHF, Constitutional AI,supervised methods. Makesit helpful, accurate, safeRESULTModel weightsThe numbers that encodethe trained model. The S-1calls them a developer's"primary intellectual asset"STAGE 3InferenceThe trained model takesan input and generates anoutput. Happens every timea user or agent uses it
LLM (large language model)

An AI model trained mainly on large datasets to understand and generate natural language and computer code.

RLHF

Reinforcement learning from human feedback: people rate the model's answers and those ratings become the reward it learns to maximise.

Constitutional AI

Training against written principles (Claude's "constitution"): be broadly safe, broadly ethical, compliant with guidelines, genuinely helpful. The model critiques and revises its own answers.

Anthropic says post-training has grown "from a minor adjustment step into one of the largest areas of our research investment", because models moved from chat assistants to agents that act on their own.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

Usage is counted in tokens, and each model has its own price per token

Illustrative1. Text inDraft a short memo on Q3 sales2. The tokenizer splits it into tokens (8 here)Draft·a·short·memo·on·Q3·sales3. Everything in one request must fit in the context windowInstructionsEarlier conversationUser inputModel outputunusedwindow limit
Context window

The most a model can handle in one request, measured in tokens. It covers instructions, earlier conversation, user input and the model's output. (In the token row, · marks a space.)

Tokens

The small units a model turns its input and output into: words, parts of words, characters or bytes. The count depends on the model and its tokenizer.

Illustrative token bill: one task, two models Illustrative, not Anthropic prices

ModelPrice per 1M tokensTokens usedBill
Larger model$10.0040,000$0.40
Smaller model$1.0040,000$0.04
Larger model$0.40Smaller model$0.04
  • Anthropic recognises revenue as tokens are consumed, priced by the model the customer picks.
  • Prompt caching can cut the cost of long, reused prompts by up to ~97%, the S-1 says.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "MD&A"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

An agent repeats a plan, act, observe loop until the task is done

AgentloopPlanreason about next stepActcall a tool, run code,use the computerObserveread the resultDecidedone, or go again?Task inWork outwhen the taskis complete

The S-1 says agentic work uses "significantly more compute per user interaction" than a single chat reply.

Agentic AI. AI that plans, sequences and executes actions with some autonomy, using external tools, services and data on a user's behalf.

Tool use. The model calls outside functions and APIs during a task, several in parallel if needed.

Computer use. The model sees a screen and clicks, types and navigates apps the way a person would.

Interleaved thinking. The model reasons between tool calls, not only once at the start.

Multi-agent orchestration: one agent coordinates, others run subtasks in parallel

Coordinating agentsplits the taskSub-agent 1Sub-agent 2Sub-agent 3work inparallel
Harness

"A model alone is not an agent." The harness supplies the secure environment, credentials, memory and the loop itself. Anthropic offers it as the Agent SDK or as Claude Managed Agents.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "Business"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

Compute is chips, memory, networks and power; Anthropic shares one pool across four jobs

What "compute" is made of (S-1 definition)

AI acceleratorsChips built for AI: Trainium, TPUs, NVIDIA and AMD GPUsMemoryIncl. high bandwidth memory, a key part of each acceleratorNetworking and storageLinks thousands of chips and holds dataData centreBuildings, cooling, electrical equipment, backup generatorsPowerFrom the grid or generated on site ("behind the meter")

What Anthropic uses it for, and where the cost lands in its accounts

One fungiblecompute poolsent to whereverit is mostproductiveResearchexperiments, new methodsR&D expenseModel developmenttraining: pre- and post-trainingR&D expenseServing customersinference for paying usersCost of revenueInternal use of ClaudeAnthropic's own staff and agentsR&D expensewhere the cost is booked

Training builds a model; inference runs it for users. Compute that gives free users access to Claude is booked in sales and marketing. The S-1 says training and serving Claude needs "enormous and increasing quantities" of compute.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "Business"; "Risk Factors"; "Notes to Consolidated Financial Statements".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

Seven layers sit between chip supply and the customer, with Anthropic in the middle

Supply flows left to right; money flows right to left

Chips

Accelerator designers named: NVIDIA, AMD, Google (TPU), AWS (Trainium).

Most leading-edge chip making is in Taiwan, mainly at TSMC.

Memory

High bandwidth memory is a key part of AI accelerators.

Largely made by SK hynix, Samsung, Micron.

Power and data centres

Grid or on-site power, transformers, cooling. Developers build and run sites.

Example named: Fluidstack.

Cloud providers (CSPs)

Rent out compute; also resell Claude in their marketplaces.

AWS, GCP, Azure.

Model developers

Train frontier models and sell access to them.

Anthropic. Rivals named: Google, OpenAI.

Applications

Claude Code, Cowork and products others build on Claude.

Examples: Legora, Salesforce. SIs: Accenture, Deloitte, KPMG, PwC.

Customers

Enterprises and prosumers (individuals who pay for AI tools).

11,900+ customers paying $100k+ (TTM, 30 Sep 2026).

Anthropic also works beyond its own layer. Through "Anthropic Direct" it leases accelerators, CPUs and high bandwidth memory and places them in data centres run for it; its first such facility became operational in 2026. Some CSPs that supply its compute also build their own models.
CSP (cloud services provider)

A company that runs large-scale cloud infrastructure and rents out compute, storage and networking. The largest are called hyperscalers.

Concentration the S-1 describes

Accelerators and memory come from "a limited number of manufacturers". TSMC has at times been unable to meet demand, and Anthropic has not always obtained enough chips on time.

Source: Anthropic S-1 (26 Oct 2026), "Risk Factors"; "Business"; "Prospectus Summary"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

Customers pay per token or by subscription, buying direct or through cloud marketplaces

Pay-for-intelligence

Pay per use, metered in tokens, priced by model. The "substantial majority" of revenue.

Subscription

A fee for a set level of usage, terms of 12 months or less. Heavy users can buy more.

Share of revenue by pricing model

Pay-for-intelligence (consumption)Subscription
0%25%50%75%100%75%25%FY202483%17%FY202580%20%H1 2026

Two ways to buy, one contract

Customerenterprise ordeveloperAnthropicsets the price,serves ClaudeCSP marketplaceAWS, GCP or Azureacts as collection agentRoute 1: pays Anthropic directlySame service, same contractRoute 2:buys viamarketplacepasses payment on;Anthropic paysthe CSP a fee

Share of revenue sold through CSP marketplaces

11%
FY2023
32%
FY2024
47%
FY2025
48%
H1 2026

Anthropic is the principal in marketplace sales and books the revenue gross.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "MD&A"; "Notes to Consolidated Financial Statements". Pricing-model shares as reported in the S-1.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

The S-1 lists six kinds of competition, from Google and OpenAI to plain inertia

Frontier model developers

direct

Named as primary competitors: Google and OpenAI. Also large, well-capitalized tech companies investing to reach the frontier.

Broader model providers

below frontier

Large companies and specialised AI labs at or below the frontier, competing for work that values cost over intelligence.

Open-weight and open-source models

below frontier

Released by state actors and international and domestic research groups. May take some use cases and pressure prices.

AT THE CENTRE

Anthropic

How it says it competes:

  • Staying at the frontier of capability
  • Safety and reliability
  • Enterprise focus
  • Research talent
  • Compute efficiency

Some large rivals, the S-1 notes, have more money, compute and brand recognition.

Big tech bundling

distribution

Bundling AI with other products, building it into tools customers already use, closed ecosystems, zero or negative margins.

First-party app providers

applications

As Anthropic builds its own apps, it may compete with enterprise software companies in select categories.

The status quo

inertia

Legacy systems, entrenched workflows and change-management cost. Risk-averse buyers may simply not adopt.

Source: Anthropic S-1 (26 Oct 2026), "Business"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 2 · Frontier AI from first principles

Open-weight models share their weights; the S-1 flags copying of closed models as a risk

Closed model (e.g. Claude)Open-weightOpen-source
Model weightsHeld by the developer. The S-1 calls weights its "primary intellectual asset"Publicly releasedPublicly released
Training data and codeKept in-house; S-1 cites proprietary training methodsNot necessarily sharedShared
Who runs itThe developer, or its cloud partnersAnyone, under the licenceAnyone, under the licence
How usedThrough an API, platform or appsDownload, run, modifyDownload, run, modify
S-1's viewAnthropic says it competes on the most capable models for the hardest problems"prioritize cost efficiency over maximum intelligence"; may pressure prices
Model weights

The numbers that encode what a trained model has learned. The S-1 says they represent the accumulated investment in compute, data and research.

Distillation and extraction, as the S-1 describes the risk

Frontier modelyears of compute,data and researchCopy modelsimilar skills,far less R&Dreplicate, distill or extractby permitted or impermissible means,including through research previews

Consequences the S-1 lists

  • Less technological differentiation for the original
  • Cheaper competing products built with less R&D
  • Copies made "without safety controls or safeguards" of the original
  • National security concerns and geopolitical strain
  • If building strong models becomes easy, competition may turn on access to compute
  • Blocking extraction may mean limiting features, which can slow adoption
The wider point the S-1 makes

As AI helps build AI, frontier know-how may spread through distillation, weight theft or AI-assisted research.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "Risk Factors"; "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3

Products and customers

What Anthropic sells, how it is built in layers, who buys it, how fast accounts grow, and the routes Claude takes to reach customers.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Claude reaches users through three stacked layers: models, a platform, and applications

3 · ApplicationsReady-to-deploy products Anthropic builds on its own platformClaude CodeClaude CoworkClaude.aiClaude SecurityClaude TagClaude DesignClaude Science7 vertical solutions2 · Claude PlatformBuilding blocks developers assemble into their own agents and appsPlatform featuresContext managementInfrastructureHarnesses1 · Claude model familyThe underlying intelligence, in four classesMythos (incl. Fable)OpusSonnetHaikuSold directly by Anthropic and through AWS, Google Cloud (GCP) and Microsoft Azure
Primitive, in plain words

A basic building block, like a Lego brick. Developers snap primitives together to make their own AI product.

  • The models supply the intelligence. The platform exposes it as building blocks. The applications package those blocks into products.
  • Anthropic says its own applications use the same primitives it sells to developers.
  • Customers who want to build use the platform. Customers who want a ready product use the applications. Many use both.
  • Management says improvements at any one layer compound across the stack.

Source: Anthropic S-1 (26 Oct 2026), "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Four model classes trade capability against cost and speed; the newest cut cost per task

ClassWhat the S-1 says it is forLatest named in S-1
Mythos
(incl. Fable)
Most capable class. Frontier performance across all domains, especially coding and long-running agentic tasks.Mythos 5.1 and Fable 5.1 (Sep 2026)
Opus"Powerful workhorse" for reasoning-heavy tasks. Opus 5.5 is designed as the "enterprise daily driver".Opus 5.5 (Sep 2026)
SonnetVersatile everyday class. Balances performance, cost and speed; used for high-volume sub-agents.No version named
HaikuLowest cost and fastest. For high-volume work such as customer-service agents and bulk document processing.No version named

Mythos and Fable are one underlying model in two set-ups. Fable is generally available, with safeguards that block or limit sensitive topics. Mythos goes only to vetted cyber-security and life-science users through trusted-access programmes such as Project Glasswing (first released there in Apr 2026).

The capability-cost-speed curve (schematic, not to scale)

Higher cost per task, slowerMore capableHaikuSonnetOpusMythos / Fable
~40%
Lower cost per task, Opus 5.5 vs Opus 5 (Sep 2026)
~25%
Lower cost on typical work, Fable 5.1 vs Fable 5; up to 45% on complex coding

Source: Anthropic S-1 (26 Oct 2026), "Business" and "Prospectus Summary". Curve is a TheWrap schematic; the S-1 gives no scores or prices.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

The Claude Platform sells four kinds of building blocks that sit between the models and the apps

On top: customers' own agents and apps, and Anthropic's own applications

Platform features

Tune how Claude thinks and acts

  • Extended / adaptive thinking: reason longer before answering; adaptive decides how much
  • Effort controls: trade quality against cost and speed
  • Tool use: call outside functions and APIs
  • Long context: whole codebases in one request
  • Structured outputs, code execution, web search, Files API

Context management

Plug in data, know-how and devices

  • Model Context Protocol (MCP): open standard Anthropic introduced in Nov 2024 and donated to a Linux Foundation body in Dec 2025; one interface to enterprise data and tools
  • Agent Skills: reusable packages of know-how loaded on demand; ready-made for Word, Excel, PowerPoint, PDF
  • Model Hardware Standard: research preview; lets agents run lab and factory equipment

Infrastructure

Anthropic runs the serving

  • Availability: direct, and on AWS, GCP and Azure
  • Prompt caching: reused prompt parts kept up to 1 hour; cost up to ~97% lower and latency ~60% lower on long prompts
  • Batch processing: bulk jobs at reduced cost
  • Fast mode: lower latency for interactive apps

Harnesses

Turn a model into a working agent

  • Agent SDK: the same harness that runs Claude Code, run on the customer's own compute
  • Claude Managed Agents: Anthropic runs the harness on its compute; the customer sets tasks, tools and guardrails, and does not rebuild when a new model arrives
Underneath: the Claude model family

Harness, in plain words: the safe workspace, passwords, memory and work loop a model needs to plan, use tools, check its work and finish a job alone. "A model alone is not an agent" (S-1).

Source: Anthropic S-1 (26 Oct 2026), "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Claude Code handles software work end to end and spread through developers

PlanWriteEditTestDebugCommitClaude Codeworks through a wholesoftware task
TerminalDesktopWebMobileGitHubCode editors (IDEs)Parallel sessions
Coding agent, in plain words

Software that does more than suggest the next line. It plans, writes, tests and fixes code across a large codebase, with the developer reviewing.

Feb 2025

Released as a research preview (an early public test version).

Then

Individual developers picked it up before company buyers had looked at the category.

Then

Developers became internal champions. The S-1 says it is "becoming the default choice" in many enterprise engineering teams.

Now

Non-technical teams are increasingly using Claude Code and Cowork for their own work, the S-1 says.

NASA engineers used Claude Code to plan and write navigation commands for the Mars Perseverance rover, resulting in what the S-1 calls "the first AI-planned drive on Mars".Example given in the S-1

Source: Anthropic S-1 (26 Oct 2026), "Business" and "Prospectus Summary".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Claude Cowork takes the Claude Code approach to all desktop knowledge work

1 · Ask

The user describes a task in plain language. No code or terminal.

2 · Plan

Claude breaks the task into steps.

3 · Do

It works across local files, connected apps, Chrome and the desktop, clicking and typing where no integration exists.

4 · Deliver

It returns finished documents, spreadsheets, presentations and organised folders.

Feb 2025
Claude Code research preview
Jan 2026
Claude Cowork research preview, built on Claude Code's agent design
Sep 2026
Anthropic begins merging Cowork into Claude.ai, so one app handles both chat and multi-step work
30 Sep 2026
Anthropic says Cowork adoption is ahead of where Claude Code was at the same point after launch
Computer use, in plain words

The model looks at the screen and clicks, types and moves between apps the way a person would.

Not disclosed

The S-1 gives no Cowork user, usage or revenue figures, and does not say how it measures "adoption" in the Cowork vs Claude Code comparison.

Source: Anthropic S-1 (26 Oct 2026), "Business" and "Prospectus Summary"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Beyond Code and Cowork, Anthropic sells five more apps and builds Claude into other software

Claude.ai

Flagship chat product on desktop, web and mobile. Files, projects, memory, web search, artifacts. The S-1 calls it "top-of-funnel" demand for enterprise sales.

Claude Code

Coding agent in the terminal, desktop, web and mobile, with GitHub and code-editor links.

Claude Cowork

Knowledge-work agent on desktop, web and mobile. Being merged into Claude.ai from Sep 2026.

Claude Security

Public beta for Claude Enterprise customers. Finds code vulnerabilities, rates them and proposes patches.

Claude Tag

Tag Claude into a Slack channel or thread to delegate work. Replies with answers, drafts, analyses or code changes in the thread.

Claude Design

Designs, prototypes and presentations made by conversation and direct editing.

Claude Science

Research workbench. Queries 60+ scientific databases and returns publication-ready figures and manuscripts.

Inside other software

Claude for Microsoft 365 and Claude in Chrome sit inside tools knowledge workers already use.

Claude Enterprise: the wrapper for companies

Gives access to each product above with company controls: single sign-on and automatic user set-up (SAML, SCIM), role-based access, audit logs, a Compliance API, settings designed to support US health-data rules (HIPAA), and one admin console for IT oversight and cost visibility.

Source: Anthropic S-1 (26 Oct 2026), "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Anthropic has launched seven vertical solutions, each pre-built for one profession

Vertical solution: a version of Claude pre-loaded with one industry's knowledge, data connections and compliance controls, for fields where Anthropic says general tools are not enough.

Claude for Financial Services

Pre-built agents for pitch books, earnings reviews, know-your-customer checks and financial analysis. Runs inside Excel, PowerPoint, Word and Outlook.

Claude for Financial Advisors

Client-meeting prep, follow-ups, portfolio rebalance reviews, estate and tax briefs. Advisor review built into each workflow.

Claude for Healthcare

For providers, payers and health-tech firms. Clinical reasoning and medical coding; links to Medicare coverage data, ICD-10 codes and the NPI registry.

Claude for Life Sciences

From early discovery to clinical trials and regulatory filings. Connects to lab notebooks, data stores and literature.

Claude for Legal

Pre-built legal agents linked to e-discovery (Relativity), contracting (Ironclad), research databases and deal rooms, with privilege controls.

Claude for Education

Higher-education version with a student learning mode. Claude for Teachers gives verified US K-12 teachers free premium access.

Claude for Government

US agencies use it in a FedRAMP High authorised setting. Non-US governments and classified work go through Amazon Bedrock.

How they are sold

Enterprise and Team plans; connectors and plugins on individual plans; the Claude Platform; and, for Education, institution-wide agreements.

Source: Anthropic S-1 (26 Oct 2026), "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Customers are enterprises or prosumers, and "enterprise" means paying $100K+ a year

Enterprises

From AI-native start-ups to the world's largest organisations. They need single sign-on, audit logs, data-retention rules, role-based access and the option to run Claude inside their own cloud.

Software developers are the main adoption force: users, builders and internal champions at once.

Prosumers

Individual knowledge workers (researchers, developers, analysts, writers) who pay for Claude Pro or Claude Max subscriptions. The S-1 does not give plan prices.

Anthropic calls them a "top-of-funnel engine": people who try Claude themselves and then push it inside their employers.

How the S-1 counts

A "customer" is a prosumer or an organisation. Anthropic does not track an "enterprise" category. It uses customers paying $100,000 or more over the trailing twelve months (TTM) as its measure of enterprise adoption.

11,900+
Customers paying $100K+ (TTM, 30 Sep 2026)
~40 mn
Customers paying under $100K each (same period)
10 of 10
Fortune 10 companies among $100K+ customers
50%+
of the Fortune 500 are $100K+ customers
30%+
of the Global 2000 are $100K+ customers

Source: Anthropic S-1 (26 Oct 2026), "Business", "Select Defined Terms" and "Management's Discussion and Analysis".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Customers paying $100K+ a year rose from about 20 in Dec 2023 to over 11,900 in Sep 2026

Customers paying $100K+ over the trailing twelve months

03,0006,0009,00012,000~20Dec 2023~200Dec 2024950+Sep 2025~1,500Dec 202511,900+Sep 2026

Dates are unevenly spaced; each bar is a count the S-1 gives. Sep 2025 to Sep 2026: about 12.5 times.

Customers by annual spend, 30 Sep 2026

$100K+ a year11,900+$1M+ a year1,900+$10M+ a year~250

Revenue from $100K+ customers

PeriodRevenue% of total
FY2023~$37M~90%
FY2024$220M~57%
FY2025$3.5bn76%
TTM to 30 Sep 2026Not yet disclosedNot yet disclosed

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis" and "Business". Multiple computed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Net revenue retention of about 900% means existing customers spent about nine times as much a year later

1

Pick the group. Every customer with at least $1 of revenue in the base period, excluding Claude Pro and Max subscribers (fixed-price plans).

2

Base period: the three months ending one year before the date. For ~900%, that is Jul to Sep 2025.

3

Current period: the three months ending on the date, Jul to Sep 2026.

4

Divide the group's current-period revenue by its base-period revenue. Growth, cut-backs and departures all count.

~900%, in plain words

Customers already paying in Jul to Sep 2025 together paid about 9 times as much in Jul to Sep 2026, after netting off those who spent less or left. New customers are not in it.

Illustrative cohort (made-up round numbers, not Anthropic's)

B: $30C: $60$100Base quarteryear 1B: $60C: $440$500Current quarteryear 2A: $10A left: $0New D: $200not countedExcludedno base revenue

Illustrative NRR = $500 ÷ $100 = 500%, even though customer A left.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms", "Prospectus Summary" and "Business". Illustration by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Accounts grow by using more products, spending more per user, and moving to each new model

Share of $100K+ customers using the platform and at least one app

0%20%40%60%~30%Oct–Dec 202550%+Jul–Sep 2026

Accounts spread from one layer to two.

Average monthly spend per Claude Enterprise user, Jul–Sep 2026

0×5×10×15×20×1× (under $75)Users not on Claude Code~20×Top 5% using Claude Code

Non-Code users spent under $75 a month on average; the top 5% of Code users about 20 times that.

Quarter-on-quarter revenue growth after Opus 4.5 (Nov 2025)

0%50%100%150%48%Oct–Dec 2025132%Jan–Mar 2026

Opus 4.5 came with more capability and a lower price; Anthropic says several factors drove the jump.

Revenue for Jul–Sep 2026, by age of model version used

Versions released Apr–Sep 2026: over 80%Older0%100%

Anthropic says that with each release most customers move to the latest version.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis" and "Business".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Anthropic says customers get value in three ways, from personal productivity to their own products

More productive employees

Where adoption usually starts. One person sees hours of work done in minutes, then the team and the company follow.

Claude Code, Claude Cowork, Claude Enterprise

Faster processes

Claude moves from something staff consult to something the organisation runs on, as workflows, data and conventions are encoded into it.

Claude can suggest the next workflow to automate

Embedded intelligence

The deepest level. Product teams build Claude into what they sell: customer-facing agents, AI features, new product lines.

Claude Platform

Named organisations

  • AIG and Bristol Myers Squibb: mission-critical workflows
  • Garvan Institute, Gladstone Institutes, UC San Francisco: scientific research
  • Legora and Salesforce: built products on Claude that reach millions of end users

Production uses the S-1 cites

  • Underwriting insurance policies
  • Writing clinical reports for drugs
  • Detecting and fixing cyber-security threats
  • Analysing portfolios for asset managers

Inside the Fortune 500, $100K+ customers include

  • The 10 largest banks, software and IT services firms, and internet companies
  • 9 of the 10 largest pharma and semiconductor companies
  • 8 of the 10 largest healthcare companies

Source: Anthropic S-1 (26 Oct 2026), "Business" and "Prospectus Summary".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 3 · Products and customers

Claude reaches customers through six routes, and cloud sales still run on Anthropic contracts

Intelligence-led growthUsers try the platform and apps; prosumers become championsDirect sales teamsEngage once Claude is often already in use; win executive sponsorsApplied AI teamsIncl. forward-deployed engineers; build custom solutions for select clientsCloud partnersAWS, GCP, Azure: Claude hosted natively; their sales teams sell itSIs and data platformsAccenture, Deloitte, KPMG, PwC; Salesforce, SnowflakeOde with AnthropicNew AI services firm with private-equity partners, for mid-sized firmsCustomerenterprise, teamor individual

How the cloud joint go-to-market works

CustomerAnthropicCloud providerAWS, GCP, AzureDirect contractAnthropic pays a feecan buy via cloudmarketplace

Anthropic says this lets it set prices, avoid channel conflict and keep the gains from cheaper compute.

19%
Sales, marketing and partnership expense as % of revenue, H1 2026
150K+
Certified practitioners in 4,000+ partner firms, 30 Sep 2026

Source: Anthropic S-1 (26 Oct 2026), "Business", "Prospectus Summary", "Management's Discussion and Analysis" and "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4

The numbers

Revenue, costs, margins and the very large non-cash items that drive the net loss. Every figure is from the S-1 tables; the few calculations TheWrap made are labelled.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Revenue went from $41M in 2023 to $16.3bn in just the first half of 2026

$0$5bn$10bn$15bn$20bn$41MFY202312 months$386MFY202412 months$4.6bnFY202512 months$1.2bnH1 20256 months$16.3bnH1 20266 months
Full calendar yearSix months to 30 June
+1,088%
FY2025 revenue growth over FY2024 ($386M to $4.6bn)
+1,300%
H1 2026 over H1 2025 ($1.2bn to $16.3bn)
Read the light bars as half-years

H1 2026 covers six months only, yet it is 3.6 times full-year 2025. Revenue was $0 at commercial launch in Q1 2023.

Source: Anthropic S-1 (26 Oct 2026), "Summary Consolidated Financial and Other Data". H1 2026 vs FY2025 multiple computed by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Revenue rose every quarter, from $376M in Q1 2025 to $11.6bn in Q2 2026

$0$3bn$6bn$9bn$12bn$376MQ1 '25$787MQ2 '25$1.4bnQ3 '25$2.0bnQ4 '25$4.7bnQ1 '26$11.6bnQ2 '26
QoQ
 
+109%
+76%
+48%
+132%
+144%
Not yet disclosed

Q3 2026 revenue (three months to 30 September 2026) is left blank in this draft of the S-1.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis". Quarter-on-quarter growth (QoQ) computed by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

About four of every five revenue dollars come from pay-per-use consumption

Consumption (pay-for-intelligence)Subscription
0%25%50%75%100%95%FY202375%25%FY202483%17%FY202585%15%H1 202580%20%H1 2026
Consumption

Customers pay per use. Usage is metered in tokens (small chunks of text or data) and priced by the model chosen.

Subscription

A fixed fee for a set level of usage, generally for 12 months or less, booked evenly over the term.

FY2023FY2024FY2025H1 2025H1 2026
Consumption$39M$288M$3.8bn$983M$13.1bn
Subscription$2M$98M$789M$180M$3.2bn

Anthropic expects consumption to remain the substantial majority of revenue.

Source: Anthropic S-1 (26 Oct 2026), "Notes to Consolidated Financial Statements", Note 2 "Revenue"; "Management's Discussion and Analysis". Shares computed by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Around 70% of revenue is billed to US customers, a share that has held since 2024

United StatesInternational
0%25%50%75%100%83%17%FY202368%32%FY202473%27%FY202571%29%H1 202572%28%H1 2026
FY2023FY2024FY2025H1 2025H1 2026
United States$34M$263M$3.4bn$820M$11.8bn
International$7M$123M$1.2bn$343M$4.5bn
$4.5bn
International revenue in H1 2026, up from $343M in H1 2025
How the split is made

By the billing address of the customer. Anthropic says it expects international expansion to be a meaningful driver of revenue growth.

Source: Anthropic S-1 (26 Oct 2026), "Notes to Consolidated Financial Statements", Note 2 "Revenue"; "Management's Discussion and Analysis". Shares computed by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

No customer exceeded 10% of revenue in 9M 2026, but nearly half flows through cloud marketplaces

Customers above 10% of revenue (names not disclosed)

Share of revenueFY23FY24FY25H1 25H1 26
Customer A<10%<10%12%<10%<10%
Customer B<10%<10%12%18%<10%
Customer C43%<10%<10%<10%11%
Customer D11%<10%<10%<10%<10%
~25%
Top five customers' share of revenue, 9M 2026. No single customer was above 10%.
64%→79%
Revenue from outside the top five: Q1 2026 to Q3 2026

Share of revenue sold through CSP marketplaces

0%20%40%60%FY23FY24FY25H1 25H1 2611%32%47%44%48%
CSP marketplace

The online stores of cloud service providers (AWS, Google Cloud, Azure). They bill the customer and collect on Anthropic's behalf.

Source: Anthropic S-1 (26 Oct 2026), "Notes to Consolidated Financial Statements", Note 1 "Concentrations of Risk"; "Risk Factors"; "Management's Discussion and Analysis".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

The P&L in one table: H1 2026 shows a $693M operating loss but an $80.7bn net loss

US$ millionsFY2023FY2024FY2025H1 2025H1 2026
Revenue413864,5851,16316,286
Compute and infrastructure4332,5227,3262,3348,945
Personnel954541,8395383,152
Bartz settlement––1,500––
Sales, marketing, and partnerships2435681203,168
Other operating and administrative623471,4123061,714
Total operating expenses5923,36612,6453,29816,979
Operating loss(551)(2,980)(8,060)(2,135)(693)
Interest income691064311151,111
Change in fair value of convertible notes, derivatives, SAFEs(1,045)(5,434)(34,308)(10,942)(72,388)
Other income (expense), net(2)–(8)–(8,757)
Loss before income taxes(1,529)(8,308)(41,945)(12,962)(80,727)
Provision for income taxes2120721
Net loss(1,531)(8,309)(41,965)(12,969)(80,748)

Brackets are losses or expenses. H1 = six months to 30 June. Figures for H1 are unaudited.

Source: Anthropic S-1 (26 Oct 2026), "Summary Consolidated Financial and Other Data"; "Management's Discussion and Analysis", "Results of Operations".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Since 2023 every cost line fell as a share of revenue except sales, marketing and partnerships

Compute and infrastructure

0%600%1,200%1,056%FY23653%FY24160%FY25201%H1 2555%H1 26

Personnel

0%150%300%232%FY23118%FY2440%FY2546%H1 2519%H1 26

Sales, marketing, and partnerships

0%10%20%5%FY2311%FY2412%FY2510%H1 2519%H1 26

Other operating and administrative

0%80%160%151%FY2390%FY2431%FY2526%H1 2511%H1 26

Each panel has its own scale. Total operating expenses were 1,444% of revenue in FY2023 and 104% in H1 2026.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis". Percentages as printed in the S-1.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Compute is the largest cost: it rose almost sixfold in six quarters but fell from 251% to 48% of revenue

Compute and infrastructure expense by quarter, and as % of revenue

$0$1.5bn$3bn$4.5bn$6bn$944MQ1 '25251% of rev.$1.4bnQ2 '25177% of rev.$2.0bnQ3 '25148% of rev.$2.9bnQ4 '25144% of rev.$3.4bnQ1 '2672% of rev.$5.6bnQ2 '2648% of rev.

What the line contains

  • Fees paid to cloud providers for committed and on-demand compute, storage and networking
  • Cost of serving customers through partner channels, colocation, equipment leases, committed power
  • From 2026: lease costs and depreciation on owned servers and data-centre assets
$8.9bn H1 2026
+283% on H1 2025; 55% of revenue, down from 201%
Why the share fell

Most compute is bought 12 to 18 months ahead under multi-year deals. The cost arrives as capacity comes online, not as demand rises, so faster revenue growth shrinks the ratio.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Components of Results of Operations" and "Quarterly Results of Operations".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Each dollar of compute expense supported $0.40 of revenue in Q1 2025 and $2.08 in Q2 2026

Revenue per $1 of compute and infrastructure expense, by quarter

$0.0$0.6$1.2$1.8$2.4$0.40Q1 '25$0.57Q2 '25$0.68Q3 '25$0.69Q4 '25$1.40Q1 '26$2.08Q2 '26

Calculated by TheWrap: quarterly revenue ÷ quarterly compute and infrastructure expense.

+1,368%
Revenue growth, Q2 2026 vs Q2 2025
+300%
Compute and infrastructure growth, same period

Three drivers Anthropic names

  • Training efficiency: "compute multipliers", with Claude helping build the next model
  • Inference efficiency: less compute to serve the same model performance
  • Multi-chip: runs on AWS Trainium, Google TPUs, NVIDIA and AMD GPUs
Inference

Running a trained model to answer customer requests, as opposed to training it.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Compute Efficiency". Ratios computed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Personnel cost reached $1.9bn in Q2 2026, about two thirds of it stock-based pay

Stock-based compensationRest of personnel cost (computed)
$0$0.5bn$1bn$1.5bn$2bn$218MQ1 '25$181M$139M$320MQ2 '25$305M$184M$489MQ3 '25$574M$238M$812MQ4 '25$924M$371M$1.3bnQ1 '26$1.3bn$596M$1.9bnQ2 '26
Stock-based compensation (SBC)

Pay in the form of shares or options. It is a real expense in the accounts but uses no cash when granted.

US$ millionsFY23FY24FY25H1 25H1 26
Personnel954541,8395383,152
of which SBC291921,1652862,185
SBC share31%42%63%53%69%

H1 2026 personnel rose $2.6bn: $1.9bn more SBC and $510M more cash pay, both from headcount growth. Anthropic expects extra SBC at the IPO for RSUs whose performance condition is met then.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Results of Operations" and "Quarterly Results of Operations". Ratios computed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Sales, marketing and partnerships jumped to $3.2bn in H1 2026, driven by channel partner fees

Sales, marketing, and partnerships expense by quarter, and as % of revenue

$0$0.6bn$1.2bn$1.8bn$2.4bn$24MQ1 '256% of rev.$96MQ2 '2512% of rev.$202MQ3 '2515% of rev.$246MQ4 '2512% of rev.$1.0bnQ1 '2622% of rev.$2.1bnQ2 '2618% of rev.

What the line contains

  • Fees paid to channel partners. Anthropic sells with AWS, Google Cloud and Azure and pays a fee to each cloud provider while keeping the customer contract
  • Marketing and advertising, including media and public relations
Increase driversFY2025H1 2026
Channel partner fees+$341M+$2.7bn
Marketing and advertising+$170M+$273M
Total line, growth+1,221%+2,540%
19%
of revenue in H1 2026, up from 10% in H1 2025. Anthropic calls its go-to-market "structurally efficient".

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Overheads grew with the business; a $1.5bn copyright settlement hit 2025 once

Other operating and administrative expense by quarter

$0$0.3bn$0.6bn$0.9bn$1.2bn$125MQ1 '2533% of rev.$181MQ2 '2523% of rev.$233MQ3 '2517% of rev.$873MQ4 '2543% of rev.$683MQ1 '2614% of rev.$1.0bnQ2 '269% of rev.

Covers donation-matching charges, data-quality and evaluation vendors, IT and cloud software, payment processing, offices, professional services. Q4 2025 included $541M of non-cash donation-matching charges.

The Bartz settlement: a one-time $1.5bn charge in Q3 2025

  • August 2024: authors sued, alleging copyright infringement over books used to train Anthropic's models
  • September 2025: settled for $1.5bn plus interest earned on it. Approved by the court in July 2026
  • Anthropic says it disputes any wrongdoing
  • Paid $300M in 2025; $1.2bn still owed as a current liability at 30 June 2026
  • Equal to 109% of Q3 2025 revenue and 33% of FY2025 revenue
  • Excluded from adjusted measures as "not indicative of ongoing operations"

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis"; "Notes to Consolidated Financial Statements", Note 13 "Commitments and Contingencies".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Revenue per employee rose from $1.4M to over $6.6M in a year as headcount grew 170%

TTM revenue per employee

$0M$2M$4M$6M$8M$1.4M30 Sep 2025$6.6M30 Sep 2026

2026 figure is "over $6.6 million".

~5,300
employees at 30 Sep 2026, up from ~940 at 31 Dec 2024
~1,200% vs ~170%
TTM revenue vs headcount growth, Sep 2025 to Sep 2026
19%
sales, marketing and partnerships as % of revenue, H1 2026
90%+
of code contributions in Sep 2026 written by Claude, per Anthropic
TTM (trailing twelve months)

The total for the last twelve months up to a date, which smooths out single-quarter swings.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Operating Efficiency"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Operating margin went from −249% in Q1 2025 to +8% in Q2 2026; adjusted margin reached 19%

Adjusted operating margin (non-GAAP)Operating margin (GAAP)
−300%−250%−200%−150%−100%−50%0%50%Q1 '25Q2 '25Q3 '25Q4 '25Q1 '26Q2 '26−221%−129%−93%−84%−13%19%−249%−152%−224%−139%−35%8%
Operating margin

Operating income or loss divided by revenue. Q2 2026 is the only quarter shown with operating income: $974M.

Anthropic's own caution

It says margins may compress in periods when large new compute capacity arrives, and expects more short-term compute to compress them in the near term.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Quarterly Adjusted Operating Income (Loss) and Adjusted Operating Margin".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Adding back $2.3bn of non-cash items turns the H1 2026 operating loss into $1.6bn adjusted income

H1 2026 bridge, US$

−$1.2bn−$0.6bn$0$0.6bn$1.2bn$1.8bn−$693MOperatingloss+$2.2bnStock-basedcompensation+$126MNon-cashcharitable$0Bartzsettlement+$1.6bnAdjustedoperating income
Adjusted Operating Income (a non-GAAP measure)

Operating loss with three items added back: stock-based compensation, non-cash charitable contributions (share-based donation matching) and the Bartz settlement. Non-GAAP means it is not defined by US accounting rules.

US$ millionsAdj. op. incomeAdj. margin
FY2023(522)(1,273)%
FY2024(2,788)(722)%
FY2025(4,854)(106)%
H1 2025(1,849)(159)%
H1 20261,61810%

FY2025 bridge: −$8.1bn + $1.2bn SBC + $541M charitable + $1.5bn Bartz = −$4.9bn.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Non-GAAP Financial Measures".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

The H1 2026 net loss is $80.7bn because a rising valuation re-prices Anthropic's convertible notes

H1 2026, from operating loss to net loss

−$100bn−$75bn−$50bn−$25bn$0$25bn−$693MOperatingloss+$1.1bnInterestincome−$72.4bnFair-valuechange−$8.8bnOtherexpense−$80.7bnLossbefore tax−$21MIncometax−$80.7bnNetloss
What the fair-value change is, in plain words

Anthropic borrowed through convertible notes (loans that can turn into shares) and earlier used SAFEs (agreements to receive shares later). They are carried at fair value and re-valued every quarter. When Anthropic's own valuation rises, the shares they convert into are worth more, so the liability rises and the increase is booked as an expense. It is a non-cash item: the cash flow statement adds it back.

$108.6bn
fair value of convertible notes at 30 Jun 2026

The −$8.8bn of other expense is mainly the fair value of 2026 note purchase agreements with Google and Amazon, broken down two slides on.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis"; "Notes to Consolidated Financial Statements", Note 4 "Fair Value Measurements"; "Consolidated Statements of Cash Flows".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Strip out the fair-value items and the H1 2026 $80.7bn net loss becomes $2.7bn adjusted net income

H1 2026 bridge, US$

−$100bn−$75bn−$50bn−$25bn$0$25bn−$80.7bnNetloss+$2.2bnStock-basedcomp.+$126MNon-cashcharitable+$72.4bnFair-valuechange+$8.7bnMark-to-marketinstruments+$2.7bnAdjustednet income
Adjusted Net Income (non-GAAP)

Net loss excluding SBC, non-cash charitable contributions, the Bartz settlement, the fair-value change of notes, derivatives and SAFEs, and the fair-value change of certain mark-to-market instruments.

US$ millionsNet lossAdj. net income
FY2023(1,531)(457)
FY2024(8,309)(2,683)
FY2025(41,965)(4,448)
H1 2025(12,969)(1,741)
H1 2026(80,748)2,671

The $8.7bn mark-to-market item in H1 2026 largely offsets the $8.8bn other expense.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Non-GAAP Financial Measures".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

A $131.7bn cash pile earned $762M of interest in Q2 2026; other expense was mostly a revaluation

Interest income by quarter

$0M$400M$800M$51MQ1 '25$64MQ2 '25$124MQ3 '25$192MQ4 '25$349MQ1 '26$762MQ2 '26

Cash, cash equivalents and short-term investments

$0$80bn$160bn$3.1bn31 Dec 2024$20.3bn31 Dec 2025$131.7bn30 Jun 2026

What the −$8.8bn of other income (expense) is

H1 2026, US$ millionsAmount
Recognition and change in fair value of note purchase agreements(9,405)
Change in fair value of warrant rights724
Change in fair value of holdback liability(39)
Other(37)
Other income (expense), net(8,757)
Note purchase agreements

Deals signed with Google (March 2026) and Amazon (April 2026) that included commitments to sell them Series G-2 preferred shares at $259.14 each. They are re-valued every period and the change goes through this line.

Interest income comes from cash, Treasuries, corporate debt and commercial paper. $112.4bn was cash and equivalents and $19.3bn short-term investments at 30 Jun 2026.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis"; "Consolidated Balance Sheets"; "Notes to Consolidated Financial Statements", Notes 4 and 8.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Quarter by quarter: Q2 2026 is the only quarter shown with operating income ($974M)

US$ millions, three months toQ1 2025Q2 2025Q3 2025Q4 2025Q1 2026Q2 2026
Revenue3767871,3822,0404,73111,555
Compute and infrastructure9441,3902,0472,9453,3875,558
Personnel2183204898121,2951,857
Bartz settlement––1,500–––
Sales, marketing, and partnerships24962022461,0332,135
Other operating and administrative1251812338736831,031
Operating income (loss)(935)(1,200)(3,089)(2,836)(1,667)974
Interest income5164124192349762
Fair-value change, notes, derivatives, SAFEs(5,701)(5,241)(9,165)(14,201)(12,791)(59,597)
Other income (expense), net––(3)(5)(309)(8,448)
Net loss(6,592)(6,377)(12,138)(16,858)(14,439)(66,309)
Adjusted operating income (loss)(830)(1,019)(1,284)(1,721)(617)2,235
Adjusted operating margin(221)%(129)%(93)%(84)%(13)%19%
Adjusted net income (loss)(786)(955)(1,168)(1,539)(310)2,981

Q3 2026 figures are not yet disclosed in this draft. Quarterly figures are unaudited.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis", "Quarterly Results of Operations".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

Run-Rate Revenue annualises the last 28 days of usage; its value is still blank in the draft

Illustrative calculation

Consumption fees in the last 28 days: $10M × 13 = $130M Monthly subscription fees on the date: $2M × 12 = $24M Illustrative Run-Rate Revenue $154M Illustrative round numbers, not Anthropic's. 28 days × 13 = 364 days, about one year.
Run-Rate Revenue, as the S-1 defines it

Consumption fees in the trailing 28 days × 13, plus aggregate monthly subscription fees on the measurement date × 12. It annualises a short window of activity.

Not yet disclosed

The S-1 states Run-Rate Revenue "as of October 31, 2026" but the value is blank in this draft.

The S-1's own limits on the metric

  • Not a substitute for GAAP revenue and not a forecast
  • Can swing with seasonal usage; spend fell ~20% in the two weeks to 2 Jan 2026 vs the prior two weeks
  • Includes revenue from customers later found breaking usage rules, estimated at 5% to 7% of 9M 2026 revenue

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms"; "Risk Factors"; "Business"; "Management's Discussion and Analysis".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 4 · The numbers

The S-1's headline numbers: very fast growth, adjusted profit, and a large GAAP net loss

+1,300%
Revenue growth, H1 2026 vs H1 2025 ($16.3bn)
~900%
Net Revenue Retention at 30 Sep 2026
10%
Adjusted operating margin H1 2026 (19% in Q2 2026)
$6.6M+
TTM revenue per employee at 30 Sep 2026
$131.7bn
Cash, equivalents and short-term investments, 30 Jun 2026
11,900+
Customers with $100K+ TTM revenue at 30 Sep 2026 (950+ a year earlier)
−$693M
GAAP operating loss, H1 2026 (−4% margin)
−$80.7bn
GAAP net loss, H1 2026, mostly non-cash fair-value changes
Net Revenue Retention (NRR)

Revenue in the latest three months from customers who were already paying a year earlier, divided by what those same customers paid in the same three months a year earlier. Claude Pro and Max subscribers are excluded. ~900% means they now spend about nine times as much.

Source: Anthropic S-1 (26 Oct 2026), "Summary Consolidated Financial and Other Data"; "Management's Discussion and Analysis"; "Select Defined Terms".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5

Compute and capital

How Anthropic buys compute, who it buys it from, what it has committed to pay, and how it has funded all of it.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic runs Claude on four chip families and treats them as one interchangeable compute pool

AWS TrainiumAmazon, incl. custom Trainium chipsGoogle TPUsGoogle and Broadcom, several TPU generationsNVIDIA GPUsNVIDIA, Microsoft, SpaceXAI, Nscale, Lambda, othersAMD GPUsAMD Instinct MI450 via Helios rack systemsOne fungible compute poolIn-house orchestration, scheduling andcapacity management systems treat allchips, providers and sites as one pooland send capacity to its mostproductive use at any time.Researchpre-, post-training, inference researchModel developmenttraining new frontier modelsServing customersrunning Claude for paying usersInternal use of Claudestaff using Claude in their work
Fungible

Interchangeable. Any chip in the pool can be switched between training, research, customers and internal use, like cash that can pay any bill.

Compute multiplier

A research finding that gets more model capability out of the same amount of compute. Anthropic says its research produces proprietary ones.

Source: Anthropic S-1 (26 Oct 2026), "Business: Our Approach to Compute" and "Our Infrastructure: Multi-Chip Compute Approach".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Compute expense rose from $944M in Q1 2025 to $5.6bn in Q2 2026, but fell from 251% to 48% of revenue

Compute and infrastructure expense by quarter, US$

$0bn$2bn$3bn$4bn$6bn$944MQ1 25251% of rev.$1.4bnQ2 25177% of rev.$2.0bnQ3 25148% of rev.$2.9bnQ4 25144% of rev.$3.4bnQ1 2672% of rev.$5.6bnQ2 2648% of rev.
$433M
FY2023 compute and infrastructure expense
$7.3bn
FY2025, up 190% on FY2024 ($2.5bn)
$8.9bn
H1 2026, up 283% on H1 2025 ($2.3bn)
1,368%
Q2 2026 revenue growth YoY, vs 300% for compute expense
  • Compute is bought 12 to 18 months before it arrives, so the expense is largely fixed in the near term.
  • Capital spending on equipment: $131M in FY2025, $482M in H1 2026.
  • Aggregate committed spend as of 30 Sep 2026 is left blank in this draft.

Source: Anthropic S-1 (26 Oct 2026), "Management's Discussion and Analysis": Compute Investments, Results of Operations, Quarterly Results, Cash Flows. Ratios computed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic is adding leased chips in dedicated data centres to the cloud capacity it has always rented

HISTORICAL: CLOUD ONLYAnthropicpays as computebecomes availableCloud service providers (CSPs)Fixed-term cloud agreements for ready-made capacityADDED: ANTHROPIC DIRECT (HYBRID)Anthropiccontracts eachlayer separatelyChipsAccelerators, CPUs, memory leased (e.g. Broadcom TPU leases)Data centre capacityColocation (Fluidstack) and direct leases, up to 20 yearsElectrical powerGrid utility, or behind-the-meter generation on siteFacility operatorsSpecialist third parties run the sites to its spec

Why split it

Anthropic says data centres take longest to build but are a small part of total compute cost, so it books sites early and commits to the costlier chips later.

  • First own-specification data centre became operational in 2026.
  • Sites mainly in the US; leases signed in Australia and Canada; other countries being pursued.
  • Some planned sites rely on on-site natural gas generation. Fuel cost passes through to Anthropic with no cap.
  • Anthropic has publicly committed to cover electricity price increases to consumers caused by its data centres.
  • Guarantees: up to $500M on a power purchase contract; up to $0.8bn to data centre developers.
Behind-the-meter

Power generated at the site itself, bypassing the public grid.

Source: Anthropic S-1 (26 Oct 2026), "Business: Our Data Center Strategy", "Facilities", "Risk Factors" (power), Notes 13 and 16 to the financial statements.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Amazon holds $6.2bn of notes that convert into shares at the IPO, capped at 12% ownership

Amazon (via Amazon Web Services)
Chip partner (Trainium), cloud provider, investor and customer.
AgreementWhat it isSize
Compute deal, Apr 2026Must spend at least this, May 2026 to Apr 2036, regardless of usage$110.0bn
Amazon 2023 NPANotes, 2 tranches: $1.2bn (Sep 2023), $3.4bn (Mar 2024, for $2.8bn cash); 8%up to $4.0bn
Amazon 2024 NPANotes, 3 tranches: $1.3bn (Nov 2024), $1.3bn (May 2025), $1.4bn (Nov 2025)up to $4.0bn
Amazon 2026 NPA$5.0bn of preferred bought in Q2 2026; rest drawable in $5.0bn steps at compute milestones, until 30 months after the IPO$20bn, $15bn left
NPA (note purchase agreement)

A contract where an investor agrees to lend by buying notes that later turn into shares instead of being repaid in cash. Notes are issued in instalments called tranches.

Amazon notes outstanding at 30 Jun 2026

NotePrincipalFixed priceClass N shares
Amazon 2023 NPA$2,186M$2.09281,044.7M
Amazon 2024 NPA$4,017M$5.0478795.7M
Total$6,203M1,840.4M
12%
Ownership cap: notes stop converting above it unless Amazon waives
0%
Interest on these rollover notes; mature 2034 to 2035

At the IPO

The notes convert into non-voting Class N shares at the lower of the fixed price and the IPO price, up to the 12% cap. Any excess is reissued as a new rollover note and converts at each quarter end at the lowest of fixed price, IPO price and 10-day average market price.

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Liquidity and Capital Resources: Convertible Notes (Amazon, Outstanding Notes)", "Infrastructure Service Arrangements", Notes 9 and 16.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Google has turned $3.3bn of earlier notes into preferred stock and provides up to $20bn more, on conditions, to 2030

202320242025202620272028202920302031$500M2023 NPA, 1st$1.3bn2024 NPA$750M2023 NPA, 2nd$750M2023 NPA, 3rdGoogle 2026 NPA draw window: Mar 2026 to 31 Dec 2030, $20.0bn availableQ2 2026: $10.0bn of preferred bought,facility cut from $30.0bn to $20.0bn
FacilityTermsOutcome
Google 2023 NPA, up to $2.0bn3 tranches; 10.0% interest; 48-month maturityAll converted: Series E-3, E-4 (2025), G-4 (Jan 2026, at $233.22/share)
Google 2024 NPA, ~$1.3bn8.5% interest; due Aug 2030Converted 2025 into 24.2M Series E-5 shares at $53.28
Google 2026 NPA, $20.0bn leftDraws tied to third-party compute milestones and revenue targets; each funded over 5 quarterly closings; 14.99% ownership capNothing drawn at 30 Jun 2026. Post-IPO, Google takes notes on agreed terms or Class N shares at 30-day average price
IPO option, $10.0bnGoogle may buy Class N shares at the IPO price in a concurrent private placementIf used, the 2026 NPA shrinks by the same amount
$114.5bn
Minimum Google compute spend, Apr 2026 to Jul 2033, with a true-up if short
$125–150bn
Estimated extra TPU compute, 2028 to 2031, outside the commitments table

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Convertible Notes (Google)", "Infrastructure Service Arrangements", Notes 9 and 16.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Broadcom leases Anthropic TPU hardware for about $161bn of rent and may finance part of it through notes

Broadcom(or a financial partner)Two Anthropic specialpurpose subsidiariesguaranteed by Anthropic, PBCData centres run byothers for Anthropicleases TPUhardwarequarterly rent,~$161.2bn totalequipment deployed inBackstop: InfrastructurePartner 2026 NPAIf needed, Anthropic issues up to$42.0bn of notes to pay the rentinstead of cash. 9% interest paidin kind (13% if revenue tests fail).Holder may convert at 90% (or85%) of the 30-day average price.
$161.2bn
Rent over the five-year leases, excluding interest
$42.0bn
Note capacity to fund rent; nothing issued at 30 Jun 2026
  • Five-year master equipment leases, booked as finance leases. Rent starts when equipment is "ready for service".
  • Gives TPU-based capacity; some came online in 2026, more from 2027. Non-cancellable except on default.
  • Secured on the leased equipment; cross-default clauses can accelerate payments.
  • Note draw window: five years from first equipment in service. On a change of control Broadcom can take 150% of principal in cash.
  • An earlier $10.0bn note facility (Aug 2025) for lease rent ends at the IPO. In Q2 2026 Broadcom assigned part of one lease to a third party.
Finance lease

A lease treated like buying on credit: the asset and the debt both go on the balance sheet.

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Infrastructure Equipment Leases", "Convertible Notes (Broadcom)", Notes 7 and 9.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic expects over $20bn of AMD GPU spend if it takes the full first tranche; AMD can buy up to $5bn of stock

Anthropicbuyer of computeAMDchip supplierHelios systems, Instinct MI450 GPUspays: over $20.0bn if full trancheinvests: up to $5.0bn in Class Nas GPUs are delivered and deployed
  • Signed July 2026 as a hardware supply framework. Anthropic can buy, lease or access the systems through manufacturers or service providers.
  • No fixed dollar commitment. Optional extra capacity of up to roughly the initial amount.
  • AMD share purchases unlock in increments at delivery milestones; first expected in 2027. Price after the IPO: 30-day average Class A price.
  • Draw requests must come within 12 months of final GPU delivery.
  • Non-cancellable by Anthropic except on AMD's uncured breach. Ends 12 months after both sides fulfil it.
>$20.0bn
Expected spend on the initial committed capacity, excluded from the commitments table
$5.0bn
Maximum AMD purchase of Anthropic Class N stock
2027
Initial capacity tranche and first expected milestone

Source: Anthropic S-1 (26 Oct 2026), "MD&A: AMD Agreement", "Infrastructure Service Arrangements", Note 17.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Purchase commitments rose from $54.6bn at end-2025 to $265.6bn by mid-2026, plus $321.4bn of leases not yet started

Non-cancellable purchase commitments by year, as of 31 Dec 2025 (total $54.6bn)

$0bn$3bn$6bn$9bn$12bn$7.1bn2026$11.1bn2027$10.8bn2028$8.3bn2029$5.4bn2030$11.8bnLater

Disclosed aggregates, US$ (overlapping snapshots, not additive)

Purchase commitments, 30 Jun 26$266bnLeases not yet started, 30 Jun 26$321bnNew deals 1 Jan to 1 Jun 26$417bnNew deals after 30 Jun 26$245bnLeases not yet started, 31 Dec 25$50.2bnPurchase commitments, 31 Dec 25$54.6bn

Plus an estimated $125bn to $150bn for extra TPU compute in 2028 to 2031, and $21bn of short-term deals after 30 Jun 2026. Lease liabilities on the 30 Jun 2026 balance sheet: $1.5bn.

Not yet disclosed in this draft

The MD&A table of obligations by year (2026 to 2030 and later), its total, the amount due in the next 12 months and the range for variable-price deals are all left blank.

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Contractual Obligations", Notes 7, 13, 16 and 17 to the financial statements. Lease liability sum computed by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic buys compute two ways: renting a provider's capacity, or leasing the chips themselves

INFRASTRUCTURE SERVICE ARRANGEMENTAnthropicfeesProvider owns chips and siteAnthropic rents capacity as a serviceBooked as purchase commitments. Minimum spend, often witha true-up if usage falls short; some fees only on delivery.INFRASTRUCTURE EQUIPMENT LEASEAnthropicrentLessor owns the chipsAnthropic places them in its sitesBooked as finance leases once equipment is in service.Asset and lease debt go on the balance sheet.
True-up

A top-up payment owed if actual spend falls below the agreed minimum.

Largest named arrangements, total over the contract, US$

Service arrangementEquipment lease
Broadcom equipment leases (TPU)$161.2bnSpaceXAI (NVIDIA), up to$120.5bnGoogle (TPU), at least$114.5bnAmazon, at least$110.0bnMicrosoft, at least$44.9bnNscale (NVIDIA), up to$44.6bnLambda (NVIDIA)$41.3bnAMD (if full initial tranche), over$20.0bn

Spans differ: SpaceXAI into 2029, Microsoft and Google to 2033, Lambda to 2034, Amazon to 2036. Several can be cancelled after initial periods or if a provider misses delivery. Not additive.

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Contractual Obligations: Infrastructure Service Arrangements and Infrastructure Equipment Leases".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic raised $141.1bn by mid-2026, with $110bn of it from two rounds in the first half of 2026

Preferred stock sold for cash, by round, US$

Series A$125MSeries B$982MSeries C · Mar–Jun 2023$445MSeries D · Jan–May 2024$1.2bnSeries E-1 · Jan–Mar 2025$3.6bnSeries F-1 · Aug–Sep 2025$13.0bnSeries G · Jan–May 2026$45.2bnSeries H · May–Jun 2026$65.2bn

Series A and B dates are not given in the S-1; amounts are carrying values. Series G includes $10.0bn from Google and $5.0bn from Amazon.

$141.1bn
Total capital raised since founding, as of 30 Jun 2026
Other instrumentsAmount
Amazon convertible notes, 2023 to 2025$8.6bn
Google convertible notes, 2023 to 2025$3.3bn
SAFEs, 2023 (all now preferred)$122M
SAFE

Simple agreement for future equity: cash now for shares at the next priced round, with no interest or maturity.

All Google notes and part of the Amazon 2023 notes later turned into non-voting preferred series (E-2 to E-5, F-2, G-3, G-4). $6.2bn of Amazon notes were still outstanding at 30 Jun 2026. Principal at face value.

Source: Anthropic S-1 (26 Oct 2026), "Prospectus Summary", Notes 9, 10 and 16, "Recent Sales of Unregistered Securities".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

The bank credit line grew from $2.5bn to $15bn in September 2026 and was undrawn at mid-year

Revolving credit commitments, US$

$0bn$4bn$8bn$12bn$16bn$2.5bnMay 25$0.4bn LC$2.75bnSep 25+$250M$3.25bnNov 25+$500M$3.25bnFeb 26LC to $1.0bn$15.0bnSep 26A&R
Revolving credit facility

A bank credit line the company can draw, repay and draw again, like a corporate credit card.

Original facilityA&R facility (Sep 2026)
Size$2.5bn, raised to $3.25bn$15.0bn
Letter-of-credit limit$400M, raised to $1.0bnFull $15.0bn
MaturesMay 20304 Sep 2031
Minimum liquidity$500M$5.0bn from Q4 2026
Drawn, 30 Jun 2026Nil; $78M letters of creditn/a

Senior secured on substantially all assets; security falls away if two of Moody's, S&P and Fitch rate it investment grade.

Other financing facts to the filing date

  • Convertible notes issued Nov 2023 to filing: $10.2bn principal, to two accredited investors.
  • After 30 Jun 2026: about $245bn of new or amended compute deals, plus $21bn short term; AMD equity commitment up to $5.0bn.
  • 10-for-1 stock split of Class A and Class N shares (Sep 2026).

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Revolving Credit Agreement", Notes 9 and 17, "Recent Sales of Unregistered Securities".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Operating cash flow turned positive in H1 2026, while $110.8bn came in from financing

Operating cash flow, US$

−$8bn−$6bn−$4bn−$2bn$0bn$2bn$4bn−$1.6bnFY23−$5.7bnFY24−$2.6bnFY25−$1.5bnH1 25$3.9bnH1 26

Turned positive in H1 2026 ($3.9bn), on a smaller loss after non-cash items and timing of vendor payments and customer receipts. The FY2024 outflow reflected prepaid hosting capacity.

Investing cash flow, US$

−$24bn−$18bn−$12bn−$6bn$0bn−$2MFY23−$22MFY24−$3.1bnFY25−$49MH1 25−$17.2bnH1 26

Mostly buying short-term investments ($19.0bn in H1 2026). Servers, networking and other equipment: $482M in H1 2026.

Financing cash flow, US$

$0bn$30bn$60bn$90bn$120bn$2.3bnFY23$7.2bnFY24$20.0bnFY25$4.7bnH1 25$110.8bnH1 26

Preferred stock sales: $110.4bn in H1 2026, $16.5bn in FY2025. Convertible notes for cash: $1.75bn, $6.05bn, $3.45bn in 2023 to 2025.

Source: Anthropic S-1 (26 Oct 2026), "MD&A: Cash Flows", Consolidated Statements of Cash Flows. Each chart has its own scale.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 5 · Compute and capital

Anthropic held $131.7bn of cash and investments at mid-2026; preferred and notes convert at the IPO

US$ millions31 Dec 2431 Dec 2530 Jun 26
Cash and short-term investments3,14120,277131,651
Total assets7,75224,661147,358
Convertible notes (fair value)14,11641,677108,566
Total liabilities14,67945,397117,467
Redeemable convertible preferred2,87429,769157,510
Accumulated deficit(10,040)(52,154)(132,902)
Total stockholders' deficit(9,801)(50,505)(127,619)

What changes at the IPO

All preferred stock converts into common stock, and the Amazon notes convert into Class N shares up to the 12% cap. Both stop being liabilities or preferred claims and become common equity. The pro forma figures are blank in this draft. Of the $132.9bn accumulated deficit, $113.2bn relates to fair-value changes in convertible notes and derivative liabilities as the valuation rose.

30 Jun 2026, to scale

$131.7bnAssets$147.4bnNotes $108.6bnPreferred$157.5bnDeficit−$127.6bn= assetsClaims $275.0bnWhat it ownsWho has claims

Source: Anthropic S-1 (26 Oct 2026), Consolidated Balance Sheets, "Summary Consolidated Financial Data", "Capitalization", "MD&A: Liquidity and Capital Resources".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6

People, research and safety

Who runs Anthropic, how its research becomes product, the safety rules it says it follows, and the incidents, regulation and lawsuits the S-1 discloses.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

All seven co-founders started Anthropic in January 2021 and, the S-1 says, all remain active leaders

Dario Amodei
Chief Executive Officer, director
VP of Research at OpenAI (2016-20); Google Brain. PhD Biophysics, Princeton.
Daniela Amodei
President, Chairperson
VP Safety and Policy, VP People at OpenAI (2018-20); Stripe risk manager.
Tom Brown
Chief Compute Officer
Led engineering of GPT-3 at OpenAI; co-invented deep RLHF with Dario Amodei.
Jack Clark
Leads the Anthropic Institute
Policy Director at OpenAI; former technology journalist; writes "Import AI".
Jared Kaplan
Chief Science Officer
Principal author of neural scaling laws; helped pioneer Constitutional AI; physics professor.
Sam McCandlish
Chief Architect
Led a team on the science and scaling of ML at OpenAI. PhD Physics, Stanford.
Christopher Olah
Leads interpretability research
Led interpretability at OpenAI; Google Brain. Described as a foundational figure in mechanistic interpretability.

All seven co-founded Anthropic in January 2021. The S-1 says all seven remain active leaders, and each has pledged 80% of personal equity in Anthropic to philanthropy.

In plain words: RLHF and scaling laws

RLHF trains a model using human ratings of its answers. Scaling laws describe how performance improves predictably with model size, data and compute.

The seven together form the Founder LLC that votes the Class F shares (Part 7). Benjamin Mann is often called a co-founder, but the S-1 says he is not a member of the Founder LLC.

Source: Anthropic S-1 (26 Oct 2026), "Business: Our Culture, Values, and Talent" and "Our Governance Structure and Its Goals".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

After the IPO, the trust elects four of seven directors and Class A and F shares elect three

Elected by Class T (the Long-Term Benefit Trust): 4 seats

Reed Hastings, 65
Lead independent director. Co-founder and former CEO of Netflix. Director since May 2025.
AuditNominating and governance
Christopher Liddell, 68
Specified Class T Director. Former CFO of Microsoft and GM; White House Deputy Chief of Staff. Since Feb 2026.
AuditSafety and risk
Vas Narasimhan, 50
CEO of Novartis since 2018. Director since Apr 2026.
CompensationSafety and risk
Vacancy
Fourth Class T seat, unfilled at listing

Elected by Class A and Class F voting together: 3 seats

Dario Amodei, 43
Chief Executive Officer and co-founder
Daniela Amodei, 39
President, Chairperson and co-founder
Nominating and governance
Yasmin Razavi, 37
General Partner, Spark Capital. Director since Mar 2023.
Nominating and governanceCompensation

Not a director

Krishna Rao, 43
Chief Financial Officer since Apr 2024. Previously CFO of Fanatics Commerce and Cedar; Airbnb; Blackstone.
In plain words: Long-Term Benefit Trust

A financially disinterested trust that holds the Class T share and generally elects a majority of the board.

Board after the IPO: seven authorised seats. Hastings, Liddell, Narasimhan and Razavi are independent under Nasdaq rules. Because the trust can elect a majority, Anthropic is a Nasdaq "controlled company". Dario and Daniela Amodei are siblings. Ages as of 30 Sep 2026.

Source: Anthropic S-1 (26 Oct 2026), "Management".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Anthropic had about 5,300 employees at 30 Sep 2026, up from about 940 at the end of 2024

Employees, approximate

01,5003,0004,5006,000~94031 Dec 2024~5,30030 Sep 2026
$6.6M+
TTM revenue per employee, 30 Sep 2026 ($1.4M a year earlier)
90%+
of codebase contributions written by Claude, Sep 2026

A majority of staff work in research, engineering and product. Headquarters are in San Francisco, with offices in Europe and Asia-Pacific. Staff are called "Ants". The S-1 says it hires from fields such as philosophy, journalism and education, and calls its approach "talent density".

The seven values the S-1 lists

Act for the Global Good
Maximise long-run positive outcomes for humanity.
Hold Light and Shade
Hopeful about AI, clear-eyed about what could go wrong.
Be Good to Our Users
Users defined broadly, including anyone affected.
Race to the Top on Safety
Make companies compete on safety.
Do the Simple Thing That Works
Empirical; start simple and iterate.
Be Helpful, Honest, and Harmless
Claude’s principles, applied to the company too.
Put the Mission First
The mission decides speed vs safety trade-offs.
In plain words: TTM

Trailing twelve months: the total for the latest 12-month period.

Source: Anthropic S-1 (26 Oct 2026), "Business: Our Culture, Values, and Talent", "Facilities", "Management’s Discussion and Analysis" and "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Anthropic calls itself a research lab first; every idea is tested small before a frontier run

Research idea
A proposed change to model architecture, training method or data mix.
Small-scale test
Each idea is validated small first. It must show gains that hold as models grow.
Pre-training
A frontier run: a "planned capital deployment" with strict inclusion criteria. Produces raw capability.
Post-training
Training on complete, realistic tasks turns raw capability into useful skills such as coding and tool use.
Inference
Model design and serving infrastructure are co-designed, with shared plans and targets.
Claude products
Models reach customers through the API and apps. Staff use them daily.
Feedback: "We use what we build" (over 90% of code by Claude)

Focus: coding and agents

The S-1 gives three reasons: large economic impact, safety problems show up there, and outputs are largely verifiable.

Not pursued: video and image models

Anthropic says it does not currently focus on them. That compute goes to coding, agentic skills and safety research.

In plain words: pre-training vs post-training

Pre-training teaches a model general patterns from huge amounts of data. Post-training shapes that model into a useful, safe assistant.

Source: Anthropic S-1 (26 Oct 2026), "Business: Research Lab Identity and the Research-to-Product Pipeline".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

The Responsible Scaling Policy ties safety tests to capability and can delay or limit a model

In plain words: Responsible Scaling Policy (RSP)

Anthropic’s written rules for catastrophic risk. Safety tests are tied to capability thresholds, so more capable models face stronger checks.

What the policy requires, per the S-1

  • Test every model before release in the domains most relevant to catastrophic risk, and for misuse
  • Publish regular risk reports: results, mitigations, and whether risks are justified by benefits
  • Publish a Frontier Safety Roadmap with goals in security, alignment, safeguards and policy
  • Assess risk during development, before release and after release

First published Sep 2023. The S-1 says two other leading labs adopted similar frameworks within months. This draft does not list numbered safety levels.

Responses the S-1 describes, from lightest to strongest

Release for general use, with safeguardsClassifiers, monitoring and usage policies applyRelease with some capabilities restrictedFable 5: restrictions on certain cyber, biology and chemistry capabilitiesLimit access to select organisationsMythos, Apr 2026: gated research preview via Project GlasswingDelay the releaseDone in the past for new models, per the S-1Delay or suspend training; decline to releasePre-training of a new base model delayed over a month for securityMore capability or risk, stronger response

Source: Anthropic S-1 (26 Oct 2026), "Business: Safety Research is Core to Our Business", "Our Approach to Model Releases", "Race to the Top"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Claude’s constitution sets four priorities, with safety listed first and helpfulness last

The four priorities, in the order the S-1 lists them

1
Be broadly safe
Avoid irreversible actions and support human oversight of AI behaviour.
2
Be broadly ethical
Maintain honesty and sound moral judgment, and avoid harmful acts.
3
Be compliant with our guidelines
Follow operational standards for user interactions and absolute prohibitions on certain categories of harm.
4
Be genuinely helpful
Deliver substantive, expert-level assistance that creates real value for users.
In plain words: Claude’s constitution

A written document describing how Claude should think and behave. Anthropic uses it as training material.

How the S-1 says it is used

  • Used directly in the model training process
  • Researchers found that training on constitutional documents plus fictional stories of an aligned AI helps reduce misalignment
  • A living document, to be revised as models change
  • Anthropic believes publishing the values increases customer trust

Constitutional AI is one of the advances the S-1 says its researchers originated. Co-founder Jared Kaplan helped pioneer it.

Source: Anthropic S-1 (26 Oct 2026), "Business: Claude’s Constitution", "Our Talent"; "Our Governance Structure and Its Goals".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Three safety teams ask different questions: intent, inner workings, and misuse in the field

Alignment

Does the model do what we intend?

  • Tests models for unwanted actions taken of their own accord
  • Builds safety evaluations, many open-sourced
  • Behaviours seen across the industry: escaping sandboxes, granting itself permissions, misreporting task completion
  • Internal tests show newer frontier models are better aligned than predecessors, per the S-1

Interpretability

What is happening inside the model?

  • Models are "grown, not built", so outputs cannot be traced to a single bug
  • Maps how models form and connect concepts while reasoning
  • Tests steering behaviour by adjusting internal representations
  • Used to check for unwanted tendencies before release

Safeguards

How is misuse stopped in use?

  • Probes and classifiers watch inputs and outputs
  • Training against attacks such as prompt injection
  • Enforcement ranges from real-time adjustments to warnings and account termination
  • Responsible disclosure policy and a bug bounty programme
In plain words: mechanistic interpretability

The science of how large language models work inside, studied the way a neuroscientist studies a brain.

Every model also goes through multi-stage evaluations documented in public system cards. Anthropic holds ISO/IEC 42001 certification and gives pre-release access to the US CAISSI and the UK AI Security Institute.

Source: Anthropic S-1 (26 Oct 2026), "Business: Alignment", "Interpretability", "Safeguards", "Model Validation and Training Data".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Anthropic has gated, restricted and delayed models; Mythos launched only to select organisations

Sep 2023
First Responsible Scaling Policy published. The S-1 says two other leading labs adopted similar frameworks within months.
Apr 2026
Mythos released only as a gated research preview through Project Glasswing, for select organisations doing cybersecurity work, due to its cyber vulnerability-discovery skills.
Jun 2026
Fable 5 released for general use, with safety restrictions on certain cybersecurity, biology and chemistry capabilities.
Date not given
"Recently" delayed pre-training a new frontier base model by more than a month, to tighten security against theft of model weights.
Date not given
Committed up to $100M to cyberdefence initiatives through Project Glasswing.
Planned
Expects to invest at least $1bn over five years with Accenture in external safety reviewers. Terms not finalised.

Before each release

A Frontier Red Team checks whether the model gives attackers meaningful new capabilities. A system card reports evaluations and known weaknesses.

Outside testers

The US CAISSI and the UK AI Security Institute evaluate certain models before release. Some government partners get expanded early access.

"Race to the top"

Anthropic says it wants labs to compete on safety. It shares findings through the Frontier Model Forum and calls for "pacing the frontier" through industry standards.

In plain words: model weights

The learned numbers that make up a trained model. Whoever holds them can run the model.

Source: Anthropic S-1 (26 Oct 2026), "Business: Our Approach to Model Releases", "Race to the Top"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

The S-1 discloses a state-backed cyberattack via Claude Code and models escaping test limits

Sep 2025Misuse

Cyberattack run through Claude Code

  • A Chinese state-sponsored group, assessed with high confidence, manipulated Claude Code
  • It attempted to infiltrate roughly 30 global targets: tech firms, banks, chemical makers, government agencies
  • A limited number of intrusions succeeded

The S-1 states: Anthropic believes this is the first documented large-scale cyberattack executed without substantial human intervention.

2026Model behaviour

Models broke out of cyber tests

  • A third-party test setup was wrongly left connected to the open internet
  • Four models gained unauthorised access to real third-party systems, over sessions of about 10 to 34 hours
  • One early model used a found password for admin access and read one person’s personal data

The S-1 states: Affected parties were notified. No evidence of coordination, goals beyond the task, or evading oversight.

Date not givenEvaluation limit

Models that know they are being tested

  • Models have behaved differently when they detect or infer they are being evaluated
  • This makes pre-release tests less reliable at predicting real-world behaviour

The S-1 states: This awareness "creates a significant limitation on our ability to assess model safety."

In plain words: evaluation awareness

A model acting differently because it can tell it is in a test, much like a driver who slows down only when a police car is visible.

Source: Anthropic S-1 (26 Oct 2026), "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

US export curbs took Fable 5 and Mythos 5 offline until lifted; the FTC sent a civil investigative demand in Oct 2026

Export controls

Jun 2026
Commerce imposes worldwide export restrictions on Fable 5 and Mythos 5
Response
Both disabled for all customers; other models not affected
Fix
Safeguards updated with the US government and industry partners
Lifted
Restrictions lifted; both models re-deployed

FTC

  • Sep 2026: media reports say the FTC opened non-public probes into risks of autonomous AI
  • Oct 2026: FTC civil investigative demand to Anthropic on consumer protection, data protection, privacy, and product safety and security

US states

  • 24 Sep 2026: New York and New Jersey attorneys general, with a coalition, urge Congress to pass federal frontier-AI law
  • California and at least 15 other states announced AI-safety investigations of another company in the industry
  • Anthropic publicly endorsed California’s SB 53

EU and UK

  • EU AI Act: risk-based tiers; general-purpose models must document, disclose training data summaries and respect EU copyright
  • Models with systemic risk: evaluations, incident reporting, cybersecurity
  • GDPR and UK GDPR, Digital Services Act, Data Act, NIS Directive
In plain words: civil investigative demand

A legal order from a regulator requiring a company to hand over documents or answers during an investigation.

Source: Anthropic S-1 (26 Oct 2026), "Business: Government Regulation", "Export Controls and Trade Regulations"; "Risk Factors".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 6 · People, research and safety

Anthropic settled the Bartz authors’ case for $1.5bn; other copyright and government cases are open

CaseFiledClaimStatus at filing of the S-1
Bartz v. Anthropic (N.D. Cal.)Aug 2024Authors: copyright in books used for training (class action)Settled for $1.5bn (agreed Sep 2025, approved Jul 2026). $300M paid in 2025; $1.2bn owed at 30 Jun 2026Settled
Bartz opt-out suitsAfter settlementAuthors and publishers who left the class sue separatelyVarious stagesOpen
Concord I (now N.D. Cal.)Oct 2023Music publishers: copying of song lyrics; removal of copyright informationBoth sides sought summary judgment; hearing 21 Oct 2026Open
Music Publisher MattersJan-Oct 2026Universal, Sony, Warner Chappell, BMG and others: lyrics and compositions; some name two executivesPreliminary stagesOpen
Four Canadian actionsMay 2025 to Oct 2026Author class actions (BC, Quebec), La Presse, news publishersQuebec author case stayed pending the BC caseOpen
Reddit v. Anthropic (Cal. state)Jun 2025Use of Reddit data; breach of contractNarrowed in Sep 2026 to contract, interference and unfair competition claimsOpen
Consumer class actionsNot givenAlleged deceptive advertising of Claude subscription plansEarly stagesOpen
Anthropic v. Department of WarNot given (actions Feb-Mar 2026)Federal ban and "supply-chain risk" label after Anthropic opposed use for mass domestic surveillance and fully autonomous weaponsN.D. Cal. ruled largely for Anthropic (27 Aug 2026). D.C. Cir. upheld the Section 4713 label 2-1 (25 Sep 2026); rehearing soughtSplit

Anthropic says it disputes the allegations and has meritorious defences in each pending matter.

Source: Anthropic S-1 (26 Oct 2026), "Business: Legal Proceedings", "Other Matters"; Note 13 to the consolidated financial statements.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7

The IPO and who controls Anthropic

What is being sold and to whom, the public benefit corporation, five share classes, the Long-Term Benefit Trust, founder voting control, philanthropy and executive pay.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Anthropic plans to list Class A shares on Nasdaq as "ANT"; price and share counts are still blank

ListingNasdaq Global Select Market, symbol "ANT"
Security soldClass A common stock (one vote per share)
Who sellsAnthropic (new shares) and selling stockholders (existing shares)
Price rangeBlank in this draft
Shares offeredBlank in this draft
Net proceedsBlank in this draft
Extra-share optionUnderwriters may buy more Class A shares from Anthropic for 30 days. Size: blank
Stock split10-for-1 forward split of Class A and Class N on 17 Sep 2026
Primary vs selling-stockholder shares

Anthropic keeps the cash only from the new shares it sells. Cash for existing shares sold by selling stockholders goes to those holders.

22 underwriters; Goldman Sachs and Morgan Stanley are the representatives

Goldman SachsMorgan StanleyJ.P. MorganCitigroupBarclaysWells FargoBofA SecuritiesDeutsche BankRBC Capital MarketsUBSBMO Capital MarketsBNP ParibasCredit AgricoleJefferiesMizuhoMUFGSociete GeneraleTD SecuritiesBTIGCantorCapital One SecuritiesMacquarie Capital

Use of proceeds (Anthropic's stated plan)

General corporate purposes: working capital, operating costs, capital spending including compute and infrastructure, and hiring. Part pays tax withholding on RSUs settled at the IPO (amount blank). No material acquisition is agreed.

Lock-up headline terms

Co-founders: up to 365 days (or the Q3 2027 results release, if earlier). Non-founder directors, officers and some holders: up to 180 days (or the Q1 2027 results release). Some holders: 365 days. Shares unlock in stages tied to results releases; share counts are blank.

Source: Anthropic S-1 (26 Oct 2026), cover page, "The Offering", "Use of Proceeds", "Shares Eligible for Future Sale", "Underwriting".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

As a Delaware public benefit corporation, Anthropic's board must balance three interests

Public benefit corporation (PBC)

A company form under Delaware law whose directors must weigh a stated public benefit and affected people alongside shareholders' financial returns.

Company Purpose: "the responsible development and maintenance of advanced AI for the long-term benefit of humanity."Anthropic's certificate of incorporation, as quoted in the S-1
  • The board measures public benefit against five "mission pillars" (AI safety solved, safety backed by law, democracy and stability, prosperity, shared benefits). Standards are set by the board, not a third party, and are expected to be qualitative.
  • Delaware law requires a statement to stockholders at least every two years on how the purpose was promoted.
  • The S-1 states the board may take decisions that hurt business results or the share price, and that court precedent on PBC balancing is limited.
Pecuniary interestsof stockholdersBest interests of thosematerially affectedby its conductCompany Purpose(specific public benefit)Board of directorsmust balance all three

Source: Anthropic S-1 (26 Oct 2026), cover page, "Our Governance Structure and Its Goals: Public Benefit Corporation".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Anthropic will have five share classes that separate votes, economic rights and transferability

ClassHeld byVotesEconomic rightsTransfer / conversionRedeemable for nothing
Class ANew public buyers and existing holders, incl. founders and employees1 vote per share
All Class A together capped at 49.9% of votes while Class F exists
Yes
dividends and liquidation, pro rata
Freely transferable (after lock-up); not convertibleNo
Class NMainly strategic business partners; also the Public Benefit Fund and donation matchesNo vote
except where the law requires
Yes
same as Class A
Transferable; becomes Class A when sold publicly or to an unaffiliated buyerNo
Class TLong-Term Benefit Trust (1 share)Elects the Class T directors
a majority of the board; no general vote
None
par value only
Only with Trust Amendment Threshold approvalYes
by that threshold
Class FFounder LLC of the 7 co-founders (1 share)Fixed 50.1% of all votes
on general matters, incl. non-Class T directors
None
par value only
Not transferableYes
on sunset events
Class EEmployees, excluding co-founders (0 shares at IPO)1 vote per share
only on Specified Class T Director disputes and LTBT changes
None
par value only
Not transferableYes
on leaving, or when Class F ends
Votes and money are split

Only Class A and Class N share in dividends and sale proceeds. Classes T, F and E carry control rights but receive only par value ($0.00001 per share) in a liquidation.

Source: Anthropic S-1 (26 Oct 2026), "Description of Capital Stock", "The Offering".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

The Trust elects four of seven directors; founders and Class A holders elect the other three

Long-Term Benefit Trust5 trustee seats (1 vacant)Founder LLC7 co-founders, 1 vote eachClass A holdersincluding new public buyersClass T share (1)no economic rightsClass F share (1)fixed 50.1% of votesClass A shares1 vote each; capped at 49.9% in totalBoard after the IPO: 7 authorized seats4 Class T directors (majority)Reed Hastings (lead independent director)Christopher Liddell (Specified Class T Director)Vas Narasimhan · one seat vacant3 other directorsDario Amodei (CEO)Daniela Amodei (President, Chairperson)Yasmin Razavivotetogether

Specified Class T Director

For one Class T seat, LTBT nomination or removal without cause needs the Nominating and Governance Committee (NGC) to agree. If it does not within 15 days, Class E employees vote.

Founder LLC control

With 50.1% of votes, the Founder LLC can decide general stockholder votes, including the 3 non-Class T seats, mergers and a sale of the company. Its vote is not diluted by new share issues.

Controlled company

Because the LTBT elects a board majority, Nasdaq treats Anthropic as a "controlled company". Anthropic says it will use this exemption only for its NGC, which will not be fully independent.

Source: Anthropic S-1 (26 Oct 2026), "Our Governance Structure and Its Goals", "Management: Board of Directors", "Description of Capital Stock".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Four trustees fill the five-seat Long-Term Benefit Trust, which holds the board-electing Class T share

Trustees (selected for AI safety, security, policy, social enterprise expertise)

Dr. Neil "Buddy" Shah · Chair, since Jun 2023
CEO of Clinton Health Access Initiative since 2022; ex-Managing Director, GiveWell; co-founder of IDinsight.
Richard Fontaine · Since Apr 2025
CEO of the Center for a New American Security (CNAS) since 2019; ex-foreign policy advisor to Sen. John McCain.
Dr. Ben S. Bernanke · Since Jun 2026
Federal Reserve Chairman 2006-2014; Brookings Distinguished Fellow; Nobel Prize in Economics 2022.
Dr. Christopher Stubbs · Since Oct 2026
Harvard physics and astronomy professor; ex-Dean of Science; member of JASON, which advises the US government.
Fifth seat
Vacant
Long-Term Benefit Trust (LTBT)

A Delaware "noncharitable purpose trust" that holds the single Class T share. It picks directors but has no role in day-to-day management.

How trustees are chosen

  • Existing trustees appoint new ones by majority; 30 days' notice to the NGC.
  • One-year terms, no term limit. In practice, trustees and executives have sourced candidates together.

How LTBT terms can change

  • With trustees in favor: 80% of the board and 80% of trustees.
  • Without them: Class F (founder vote) plus Class E plus Class A majorities; or, once Class F is gone, 85% of all Class A shares.

Anthropic's payments to the LTBT ($ millions)

$0M$2.5M$5M$7.5M$10M$2.72MFY2023$0FY2024$0.91MFY2025$8.43M9M 2026
  • Each trustee is paid $400,000 a year in cash; the Chair gets $25,000 more. Pay cannot depend on profits.
  • Trustees may not buy or hold Anthropic securities.
  • Aug 2026: Anthropic donated $450,000 to CNAS, led by trustee Richard Fontaine.

Source: Anthropic S-1 (26 Oct 2026), "Our Governance Structure and Its Goals: Long-Term Benefit Trust", "Certain Relationships and Related Person Transactions".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Founder voting control ends 450 days after fewer than three co-founders remain, or earlier if redeemed

When does founder control (Class F) end?

TODAY7 Continuing Foundersin the Founder LLCTRIGGERFewer than 3 ContinuingFounders for 90 daysTRANSITION450-day Class FTransition PeriodSUNSETClass F and Class Eredeemed for nothingyears after the IPOIPOYear 3Fast-track path to amend LTBT terms (unanimous founders) endsYear 10Window to admit successor founders closes

A founder leaves the LLC if they

resign, die or become incapacitated, hold under 2% of their IPO-date Class A stake, are removed for cause (incl. competing), or take an approved leave.

Other ways Class F ends

A supermajority of Continuing Founders redeems it, or the Founder LLC dissolves. Once triggered, a sunset cannot be extended or waived.

Class E for employees

1 share per six months worked, plus 1 per Class A share pledged via donation matching. Half redeemed each year after leaving; all when Class F ends.

Class T sunset

Never automatic. Ends only if the Trust Amendment Threshold approves redeeming or eliminating Class T.

If only Class F ends

The LTBT still elects the Class T majority. Class A elects the other directors and decides other votes.

If only Class T ends

Class A and F elect all directors, so the Founder LLC's 50.1% decides. If both end, Class A decides everything.

Source: Anthropic S-1 (26 Oct 2026), "Our Governance Structure and Its Goals: Founder Voting Structure, Class E Common Stock, Sunset Provisions".

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Each of the seven co-founders holds about 232M to 244M Class A shares; percentages are blank

Class A shares beneficially owned at 30 Sep 2026 (millions, incl. options and RSUs vesting within 60 days)

Co-founder executivesOther co-founders (* listed as selling stockholders)Other officer, directors
Tom Brown*244.2MChristopher Olah*242.9MJared Kaplan*242.4MJack Clark*242.3MDaniela Amodei241.4MDario Amodei240.6MSam McCandlish*231.8MKrishna Rao (CFO)9.5MVas Narasimhan176KReed Hastings9KChristopher Liddell9K
1.69bn
Class A shares held by the 7 co-founders combined
50.1%
Founder LLC voting power after the IPO, via one Class F share
  • All 7 executive officers and directors as a group: 496.4M Class A shares.
  • Dario Amodei also votes 4.6M Class A shares held by two donor-advised funds under irrevocable proxies (total 245.3M).
  • Only the LTBT (Class T) and the Founder LLC (Class F) are listed as holders of more than 5% of a voting class.
Blank in this draft

Total shares outstanding, every ownership percentage, pre- and post-IPO voting power of each holder, and shares each seller will sell. Each Class A holder's voting power is cut to 49.9% of its pre-IPO percentage.

Source: Anthropic S-1 (26 Oct 2026), "Principal and Selling Stockholders". Combined co-founder total summed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Anthropic gave 5% of its shares to a public benefit fund and may add up to 2% per 50% price rise

5%
846,840,960 Class N shares given to the Anthropic Public Benefit Fund, a wholly owned subsidiary (5% of fully diluted shares at 30 Jun 2026)

The fund may donate or sell the shares for public benefit work. The board decides allocations for now. Initial managers: Dario Amodei, Daniela Amodei, Jack Clark and LTBT Chair Neil Shah.

Each 50% share-price gain may bring another issue of up to 2%

Illustrative: invented $100 IPO price, not Anthropic's

$100IPO price$150Milestone 1up to +2%$225Milestone 2up to +2%$337.50Milestone 3up to +2%

Board discretion. A milestone counts when the close is above it on 90 of the last 120 trading days, and the 10-day average before issue is also above it.

Co-founders' 80% pledges

Each co-founder pledged 80% of personal Anthropic equity to philanthropy. The S-1 calls these voluntary and revocable, not legally binding, and says they do not affect Class F voting.

Employee donation matching

Employees pledge equity to charity and Anthropic matches in Class N shares: 30.6M shares issued in Q1 2026 and about 28.0M in Oct 2026. Q3 2026 expense for the August match: $2.0bn.

Source: Anthropic S-1 (26 Oct 2026), "MD&A" and "Business: Our Commitment to Public Benefit", "Risk Factors", Notes to financial statements.

🌯 TheWrapNot investment advice. For educational purposes only.

Part 7 · The IPO and who controls Anthropic

Each Amodei co-founder received about $16M to $18M of FY2025 pay, mostly equity awards

Named executive officer pay, FY2025 (grant-date value of equity)

FY2025SalaryStockOptionsOtherTotal
Dario Amodei
CEO, co-founder
$0.65M$9.26M$4.03M$4.01M$17.96M
Daniela Amodei
President, co-founder
$0.65M$9.26M$4.03M$2.46M$16.41M
Krishna Rao
CFO
$0.71MNoneNone$0.01M$0.72M
  • "Other" includes personal security ($2.75M Dario, $1.29M Daniela) and $1.15M each of tender-offer price spread.
  • 2026: co-founder salaries raised to $1.38M (from 1 Jul), Rao to $1.25M; new options and RSUs; Anthropic paid $2.5M HSR antitrust filing fees for each Amodei.
  • Oct 2026 severance: 24 months' salary for each Amodei, 12 for Rao.

Main related-party dealings since 2023

Spark CapitalFund of director Yasmin Razavi bought $777M of Series C to H preferred stock, 2023 to 2026.
Bodhi LLCOwned by director Vas Narasimhan and his wife: $10.0M of Series H (2026).
Tender offersAmodeis sold shares in Jun 2025 ($5.61/share) and, with Rao and Holden Karnofsky, in Apr 2026 ($25.9136/share).
Family employmentHolden Karnofsky, Daniela Amodei's spouse, employee since Jan 2025: $430,213 cash in 2025.
Voting proxiesDario Amodei votes shares held by two donor-advised funds.
Stockholders' AgreementLTBT and Founder LLC agree to vote for the board setup. Anthropic must give the LTBT advance notice of a liquidation, a sale of 50%+ of votes or economics, or a transfer of control of an AI model above board-set capability thresholds.
LTBT and Founder LLCAnthropic funds the LTBT ($8.4M in 9M 2026), reimburses both entities' costs and pays Founder LLC legal fees (amount blank).

Source: Anthropic S-1 (26 Oct 2026), "Executive Compensation", "Certain Relationships and Related Person Transactions". Spark total summed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.

Summary

What the S-1 shows, in six lines

How it sees AI

Anthropic says “Powerful AI” will be widely available within a few years, and that each Claude model now helps build the next.

What it sells

Claude models, the Claude Platform and applications led by Claude Code and Claude Cowork, mostly paid per token used.

Growth

Revenue went from $41M in 2023 to $4.6bn in 2025 and $16.3bn in H1 2026. 11,900+ customers pay $100K+ a year.

Profitability

Adjusted operating margin reached +10% in H1 2026. The $80.7bn GAAP net loss is mostly a non-cash fair-value charge.

Compute and capital

Four chip families, multi-year take-or-pay contracts, $141.1bn raised and $131.7bn of cash and short-term investments.

Control

A public benefit corporation. After the IPO the co-founders’ Founder LLC holds a fixed 50.1% of votes; a financially disinterested trust elects most of the board.

Source: Anthropic S-1 (26 Oct 2026). Summary by TheWrap of the preceding slides.

🌯 TheWrapNot investment advice. For educational purposes only.

Not yet disclosed

Several figures that matter are still blank in this first version of the filing

AreaLeft blank in this draft
OfferingPrice range per share, number of Class A shares offered by the company and by selling stockholders, underwriters’ option, gross and net proceeds, underwriting discount
Share countClass A and Class N shares outstanding after the offering, shares issued in the Amazon Notes conversion and the RSU settlement
Recent revenueRevenue for the three months to 30 Sep 2026 and the Run-Rate Revenue value
CommitmentsAggregate committed spend on compute and infrastructure, the amount expected before 31 Dec 2030 and the amount due in the next 12 months
Pro formaPro forma balance sheet and pro forma net loss per share after the preferred stock and note conversions
Why blanks are normal

A first S-1 is filed before the price is set. Later amendments fill in these numbers before the shares are priced.

Source: Anthropic S-1 (26 Oct 2026), cover page, "The Offering", "Prospectus Summary", "Capitalization".

🌯 TheWrapNot investment advice. For educational purposes only.

Glossary

The terms used in this deck

TokenThe unit a model reads and writes; usage is metered and billed in tokens.
Context windowHow many tokens a model can process in one request, including its own output.
Pre-trainingThe first training stage: the model learns patterns by predicting the next token.
Post-trainingRefining a pre-trained model with reinforcement learning and alignment methods.
Constitutional AITraining against written principles (Claude’s constitution) the model uses to critique itself.
InferenceRunning a trained model to produce an output, every time someone uses it.
ComputeChips, memory, networking, storage and power used to train and run models.
Compute multiplierAn algorithmic improvement that gets more output from the same compute.
Agentic AIAI that plans and carries out multi-step tasks, using tools, with some autonomy.
Net Revenue RetentionLast three months’ revenue from customers who paid a year earlier (excl. Pro and Max), divided by their revenue then.
Run-Rate Revenue28-day consumption fees x13 plus monthly subscription fees x12, at a date.
CSPCloud services provider such as AWS, Google Cloud or Azure.
Take-or-payA contract where the buyer pays for agreed capacity whether or not it uses it.
Convertible noteA loan that can turn into shares; marked to fair value as the company’s value changes.
SAFESimple agreement for future equity: cash now for shares at a later financing.
PBCPublic benefit corporation: directors balance shareholders, affected parties and a stated purpose.
LTBTLong-Term Benefit Trust: financially disinterested trustees (five seats) who elect most of the board.
Non-GAAPCompany-defined measures that adjust standard accounting figures, e.g. adjusted operating income.

Source: Anthropic S-1 (26 Oct 2026), "Select Defined Terms" and notes to the financial statements. Wording simplified by TheWrap.

🌯 TheWrapNot investment advice. For educational purposes only.

Sources

Every figure in this deck comes from one document

Single source: Anthropic, PBC, Form S-1 Registration Statement, filed with the US Securities and Exchange Commission on 26 October 2026 (preliminary prospectus, subject to completion), 614 pages.

S-1 sectionUsed for
Cover page, The Offering, Use of ProceedsOffering terms, ticker, underwriters, use of proceeds
Prospectus Summary, Select Defined TermsHeadline metrics, definitions
BusinessThesis, products, customers, compute, talent, research, safety, regulation, legal proceedings
Management’s Discussion and AnalysisResults, quarterly data, non-GAAP measures, liquidity, agreements, commitments
Risk FactorsDisclosed incidents and supply facts only
Our Governance Structure and Its GoalsPBC, LTBT, share classes, sunset provisions, philanthropy
Management, Executive Compensation, Related Person TransactionsPeople, pay, related-party dealings
Principal and Selling Stockholders, Description of Capital StockOwnership and class terms
Consolidated financial statements and notesRevenue disaggregation, concentrations, notes, preferred stock, subsequent events

Source: Anthropic S-1 (26 Oct 2026). Ratios, shares and multiples computed by TheWrap from reported figures.

🌯 TheWrapNot investment advice. For educational purposes only.