Anthropic's AI writes 90% of its new code. It kept hiring.

Anthropic's AI Writes 90% of Its New Code. It Kept Hiring.

Oct 31, 2026

 

 

 

Key Takeaways

▶  Over 90% of Anthropic’s new code is now written by Claude, and its engineers direct and review the work (Anthropic S-1, 2026)

▶  Headcount still grew from about 940 to about 5,300 in 21 months, while quarterly revenue grew 86 times (Anthropic S-1, 2026)

▶  Anthropic lists ‘the status quo’ under Competition and says adoption needs retraining, process redesign and culture change

▶  Among Claude Enterprise users, the top 5% of those who did use Claude Code spend about 20 times what users who didn’t use Claude Code spend. The gap sits inside the user base, between people on the same product

90%+

of Anthropic’s code contributions written by Claude, September 2026 (Anthropic S-1)

5x+

headcount growth, about 940 to about 5,300, Dec 2024 to Sept 2026 (Anthropic S-1)

<0.1%

of its Fortune 500 customers’ total expenses goes to Anthropic on average, Q3 2026 (Anthropic S-1)

The company whose AI writes over 90% of its new code has grown its headcount by more than 4,000 since the start of 2025.

That comes from Anthropic itself. On 26 October it filed its S-1 with the US Securities and Exchange Commission, the prospectus a company publishes before it sells shares to the public. It’s written for investors and their lawyers, so every claim in it has to hold up.

You’ll have seen the $80.7bn loss headline. Most of it is an accounting entry on the convertible notes and similar instruments it sold to investors; the quarter to June made an operating profit of $974m. (Full explanation in the FAQ below.)

Skip past the loss. The useful part of the filing is what Anthropic says about work inside its own building, because it runs on the product it sells.

 

The Engineers Stopped Writing Code

What did they say?

In September 2026, over 90% of the contributions to Anthropic’s codebase were written by Claude. The average engineer now contributes over 45 times the daily volume of code they did in 2024. And the filing describes what the engineers do instead. They “increasingly direct and review its work rather than write code line by line”.

So they let the engineers go, right?

They hired. Headcount went from about 940 at the end of 2024 to about 5,300 at the end of September 2026. Over five times the headcount in 21 months, in the same period that quarterly revenue grew 86 times.

Interactive: pick a year

Anthropic revenue, 2023 to the first half of 2026

Tap a year. Headcount is shown where the filing gives it.

202320242025H1 2026

$16.3bn

Revenue for the first six months of 2026 alone ($16,286m). About 5,300 employees by 30 September 2026.

Figures as reported in the filing. The first three are full years; H1 2026 is six months.

Source: Anthropic Form S-1, Summary Consolidated Financial Data and Risk Factors, filed 26 October 2026

 

Its Own Claude Use Now Outvalues Its Wage Bill

In April 2026, the list-price value of Anthropic’s own internal Claude usage for the month exceeded its monthly personnel expense for the first time, excluding stock-based pay. That internal usage grew over 250 times between January and September 2026.

Anthropic doesn’t pay itself list price, so read it as a measure of how much Claude its own people use. Even so, by April the company’s Claude use for its own people, at list price, was worth more than its monthly wage bill. It was still hiring.

 

Their Biggest Competitor Is Doing Nothing

Every prospectus has a competition section. Under its Competition heading, after OpenAI, Google and enterprise software companies, it lists the status quo: “one obstacle to the diffusion of Claude”.

Adopting frontier AI capabilities such as Claude often requires substantial change management, including workforce retraining, process redesign, internal policy development, and shifts in corporate culture.

Anthropic Form S-1, Business, Competition, filed 26 October 2026

In highly regulated or risk-averse industries, the filing says, the perceived downside of a major change can often outweigh the potential benefits, so decision-makers “might default to maintaining the status quo”.

A company valued on its technology is telling investors that the hard part of adoption is people. In my view, UK financial services, the public sector and healthcare fit that description.

 

The Gap Is Inside Your Building

Among Claude Enterprise users in the three months to September 2026, people who did not use Claude Code spent under $75 a month on average. The top 5% who did use it spent about 20 times that.

Same product, same tier, and a 20-fold gap in how much people get out of it.

The gap inside the same tier

Monthly spend per Claude Enterprise user, July to September 2026

Average monthly spend. The filing gives the top group as “approximately 20 times” the lower figure.

Users who didn’t use Claude Code

 
under $75 a month

Top 5% of those who did use Claude Code

 
about 20x that

Spend is a proxy for use. The heavy users are the ones using Claude Code, the agent that carries out multi-step work on its own, and the filing says non-technical teams are now picking it up too.

Source: Anthropic Form S-1, Business, Significant Customer Expansion and Prospectus Summary, filed 26 October 2026

And how does the heavy use spread? Person to person, according to the filing. Someone sees hours of analysis done in minutes and “that conviction spreads from the first user to their team, and from one team to the entire company”. Anthropic calls these people advocates. In your office, it’s the colleague everyone asks for help.

<0.1%

Anthropic’s revenue from its Fortune 500 customers, as a share of those customers’ total expenses, July to September 2026. Over half the Fortune 500 are customers spending $100,000 or more a year.

Source: Anthropic Form S-1, MD&A, filed 26 October 2026

However much it feels like AI is everywhere, the biggest companies in the world spend a rounding error on it.

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What They Admit About Agents

The risk factors are where a company has to list what can go wrong.

On agents working inside customer organisations, the filing warns that human oversight “may be limited by the speed and volume of autonomous agent actions” and by “organizational pressures within customer environments to maximize agent autonomy in order to achieve productivity gains”. It mentions alert fatigue, and reviewers who lack the context to judge what an agent did or don’t get to it in time.

It lists what can go wrong before anyone steps in: “committing code changes, deleting or modifying data, or completing financial transactions”. And it discloses an incident during a third-party security test, after a testing misconfiguration left the model connected to the internet, where an early version of the model, unable to abort an impossible task, used a password it found to gain administrator access to a third party’s system.

That’s the vendor saying, in a legal document, that the risk is in how you run the agents.

Anthropic’s own usage policy requires human oversight for high-stakes automated decisions “such as those affecting employment”. And in June 2026 a US export restriction meant it switched off two of its models for every customer worldwide until the restriction was lifted. If a workflow in your business depends on a single model, it needs a fallback.

 

Where Jobs Actually Appear in the Filing

If anyone had evidence that AI is wiping out jobs, it would be in here.

Displacement appears only in the risk factors, as something that could hurt the brand, attract a tax or bring in regulation. The filing worries that “public perception” of job displacement could cause backlash “regardless of the actual impact” on employment. It lists possible taxes on “AI-related labor displacement”. It says governments may step in to slow adoption if displacement rises, “whether actual or perceived”.

Nowhere does it present evidence that AI has removed jobs at its customers. The only employment data in the filing is its own: over five times the people, and a changed job for its engineers.

 

If You Lead a Team

I put AI into real businesses every week and I see the filing’s pattern in every office: a handful of people who’ve got properly good at it, and everyone else using it to tidy up an email.

1. Redesign the roles first

Anthropic’s engineers now direct and review. Work out, role by role, which tasks move to directing and reviewing, and what a good review looks like. Any headcount decision made before that is a guess.

2. Find your 5%

A 20-fold gap in use is likely to exist inside your business too. Find out who uses AI most, what they do with it, and put them in front of the rest. The filing says adoption spreads from one person to their team.

3. Budget for the people work

The vendor itself lists retraining, process redesign, policy and culture as the price of adoption. If your AI budget is all licences, you’ve bought the cheap half.

4. Put a human oversight rule in writing

Anthropic requires human oversight for decisions affecting employment. Copy that. Decide which agent actions need a person to approve them, scope what agents can reach, and keep an audit trail. UK GDPR, which the filing names, already has rules on decisions made solely by automation.

5. Give every workflow a second route

Two models were switched off for every customer worldwide in June 2026, until the export restriction was lifted. Any process that matters needs a fallback model or a manual step.

The work changed and the company kept hiring. The people who learned the tools pulled away from everyone else.

So who are the 5% in your business, and does anyone else know what they’re doing?

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Sources & References

Anthropic, PBC: Form S-1 Registration Statement, filed with the US Securities and Exchange Commission, 26 October 2026. Code written by Claude, code per engineer, headcount and internal usage: Business and MD&A; employees ~940 to ~5,300: Risk Factors; revenue by year and net loss: Summary Consolidated Financial Data; fair value of convertible notes and Q2 2026 operating income: MD&A; status quo: Business, Competition; spend gap: Business, Significant Customer Expansion; Fortune 500 share of expenses: MD&A; adoption spreading person to person: Business; agent oversight and incident, displacement risks and June 2026 export restriction: Risk Factors; usage policy on employment decisions and UK GDPR: Business. sec.gov
Anthropic: Anthropic files S-1 with the SEC for proposed initial public offering, 26 October 2026. Confirms the filing and the intention to list on Nasdaq under the ticker ANT. Offering terms not yet set. anthropic.com

 

Frequently Asked Questions

What is Anthropic’s S-1?

The registration statement Anthropic filed with the US Securities and Exchange Commission on 26 October 2026 ahead of a planned share listing on Nasdaq. It sets out the business, its finances and its risks for investors. It is a preliminary version: the share price, share count and some recent figures are still blank.

Did Anthropic cut jobs because of AI?

Not on the filing’s evidence. Headcount grew from about 940 to about 5,300. The filing does mention ‘periods of accelerated hiring followed by corrective actions’, without detail.

Why did Anthropic report an $80bn loss?

Most of the $80.7bn net loss for the first half of 2026 is an accounting entry. Anthropic’s valuation rose, which increased the fair value of the convertible notes and similar instruments it had sold to investors, and that increase is recorded as a $72.4bn loss. The operating loss for the half was $693m, and the April to June quarter made an operating profit of $974m.

What does Anthropic say companies need in order to adopt AI?

Under its Competition heading the filing lists the status quo and says adoption often requires substantial change management, including workforce retraining, process redesign, internal policy development and shifts in corporate culture. It says this applies especially in highly regulated or risk-averse industries.

What should a UK team leader take from the filing?

Redesign roles around directing and reviewing before making headcount decisions, find the small group already getting the most from AI and spread what they do, budget for training and process work alongside licences, and write a human oversight rule for agents.

 

Roy Murphy is co-founder of G3NR8. This post draws on Anthropic’s Form S-1, filed with the US SEC on 26 October 2026 and read in full. Published 31 October 2026.

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