2026-02-20 | Bloomberg | The Surprise Hit That Made Anthropic an AI Juggernaut

从副业到25亿美元爆款 Claude Code让AI编程战局一夜逆转

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Anthropic Claude Code AI编程代理 Vibe Coding 代码自动生成与调试 开发者工作流重构 企业级AI落地 年化收入增长 自治式AI安全 就业替代风险 Fortune 500采用 医疗金融法律扩张 +8

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2026-02-22 23:42
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https://www.bloomberg.com/news/articles/2026-02-20/the-surprise-hit-that-made-anthropic-into-an-ai-juggernaut-mlve4nc2
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Anthropic released Claude Code a year ago, forcing other rivals to play catch-up.

Anthropic’s Claude Code has gone from being a side project to a billion-dollar business.

Even Anthropic Chief Executive Officer Dario Amodei was surprised by the initial level of enthusiasm for what became the startup’s next breakthrough product. For months, engineers across the company flocked to an internal AI coding tool called Claude Code that was originally developed as a side project by Boris Cherny, then an employee in an experimental division of Anthropic that he compares to Bell Labs. 

“I remember Dario asking, like, ‘Hey, are you forcing engineers to use this? Why is everyone using it?’” Cherny recalled in a recent interview. Actually, Cherny explained, all he had to do was give his co-workers access “and everyone voted with their feet.” 

It was a sign of things to come. Claude Code, released publicly a year ago this month, quickly took off with software developers around the world, cementing Anthropic as a leader in a lucrative, emerging market for so-called vibe coding products. Other applications like Microsoft Copilot and Cursor were already popular with this cohort thanks to their approachable designs, but Claude Code promised to write and debug code more autonomously. Suddenly, rivals like OpenAI had to race to catch up to Anthropic, rather than the other way around.

Claude Code hit $1 billion in annualized run-rate revenue in the first six months after its release and has since grown to $2.5 billion, the company said. Once used primarily by AI-forward startups, Claude Code has gained traction with engineering teams at Fortune 500 companies and even among hobbyists lacking technical skills who are interested in building their own apps. It’s been used for everything from [growing a tomato plant](https://autoncorp.com/biodome/) to [helping plan the route of a NASA Mars rover](https://www.anthropic.com/features/claude-on-mars)[.](https://autoncorp.com/biodome/) On social media, users describe themselves as “Claude-pilled,” or Claude-obsessed.

If ChatGPT’s release three-plus years ago showed the potential for generative AI to spit out clever chunks of text, Claude Code’s launch demonstrated how AI can actually perform a portion of a person’s job with limited intervention. Anthropic [said](https://www.anthropic.com/research/measuring-agent-autonomy) some users are now letting Claude Code work autonomously on tasks for more than 45 minutes at a time before stopping it. On average, Claude Code users spend 20 hours a week working with the product.

The success of Claude Code is both a testament to AI’s utility in the workplace and a reminder of how hard it can be to predict the ways AI will be used in the real world. Its rapid adoption has revived concerns about job loss, including [from Amodei](https://www.bloomberg.com/news/articles/2025-07-30/ai-s-takeover-of-entry-level-tasks-is-making-college-grads-job-hunt-harder), as well as fears about what happens when autonomous AI tools [go awry](https://www.ft.com/content/00c282de-ed14-4acd-a948-bc8d6bdb339d). (Anthropic says it has staffers working to understand and address both issues.)

More imminently, however, the challenge for Anthropic and its peers is proving they can find traction with AI agents for other professions as they have with coders, a group that’s quicker to adopt cutting-edge technology.

“There are a few areas where these models are actually really getting to the point where they can really change how work gets done,” said Kate Jensen, head of Americas at Anthropic. “Code happened to be the first one.” 

Following Claude Code’s runaway success, Anthropic has been pushing to expand its AI offerings for health care, finance and legal services. Those efforts have helped [trigger a market meltdown](https://www.bloomberg.com/news/articles/2026-02-03/legal-software-stocks-plunge-as-anthropic-releases-new-ai-tool) in recent weeks as investors worry that certain legacy software providers may be rendered obsolete by newer AI advances. On Friday, [cybersecurity stocks were the latest to slip](https://www.bloomberg.com/news/articles/2026-02-20/cyber-stocks-slide-as-anthropic-unveils-claude-code-security) after Anthropic unveiled new features in Claude Code to help companies spot security vulnerabilities in their software.

“You’re seeing a reaction in large part to just how fast the industry is moving and how quickly the technology is getting better and better,” Jensen said before the security announcement. Though some of the market swing news can be “all-consuming” at times, she said it’s important to remember that legacy software companies can benefit from building on top of Anthropic’s technology.

For now, much of Anthropic’s traction remains in the realm of coding. At Spotify, roughly two-thirds of the staff have opted in to using Claude Code, outpacing the adoption of any similar product, according to Niklas Gustavsson, the company’s chief architect and vice president of engineering. Spotify has also built its own internal tool called Honk that lets staff talk to Claude Code on Slack to make changes to the music streaming app’s code base. 

“For many of us, including myself, it was a bit of a mental jump,” said Gustavsson, who had at least four different Claude Code agents running in the background on his laptop during the interview. “I’ve been in this industry for 30 years now, and the code has always been very front and center when I’m working with it. Claude Code has completely inverted that.”

Gustavsson said it’s hard to capture the gains from AI coding tools in any one metric but several of Spotify’s internal productivity measurements have gone up since using Claude Code. Anthropic said its engineers’ productivity has grown 200%, by one measure, as Claude Code use increased over the past six months. Its sales teams, data analysts and product managers are using it, too.

Cherny, who is now head of Claude Code, feels this change in his day-to-day work. He focuses less on the boring tasks like manually debugging code, and more on strategy and talking to customers to get feedback.

“We’re starting to see this world where a customer complains about something and it’s fixed in a matter of minutes,” he said. “It doesn’t take weeks anymore. This is just very exciting for me.”

by Josyana Joshua and Dina Katgara

by Augusta Saraiva and Enda Curran

by Suzanne Woolley

by Hal Brands

最新摘要 (Detailed Summary)

生成于 2026-02-22 23:50

核心概览

Anthropic 的 Claude Code 在公开发布一年内,从内部实验性质的小项目成长为年化收入约 25 亿美元 的核心产品。它最初并非公司主线,由 Boris Cherny 在实验部门开发,却因为工程师自发采用迅速放大,连 CEO Dario Amodei 都对使用热度感到意外。
更重要的是,Claude Code 的价值不只在“会写代码”,而在于它能在有限人工干预下持续执行开发任务,推动软件开发从“人手工写”为主,转向“人设定目标、AI代理执行”为主。
在 AI 编码代理这一细分市场中,Anthropic 已阶段性领先,并迫使 OpenAI 等对手加速跟进。 但下一阶段的真正考验是:这种成功能否复制到医疗、金融、法律等非编码行业,同时管控就业冲击与自治失误风险。

关键议题与详细总结

1. 爆发起点:内部“副项目”被工程师自发推成核心产品

Claude Code 的起点并不“战略化”,而是实验部门里的副项目。Boris Cherny 回忆,Dario Amodei 曾直接问他:是不是在强制工程师使用,为什么人人都在用。Cherny 的回答是,他只是开放了权限,工程师就“用脚投票”。
这段内部扩散路径非常关键:不是高层行政命令驱动,而是产品可用性和效率优势触发了自然采用,这也解释了它后来对外扩张的速度。

2. 竞争变化:领先发生在“编码代理”赛道,而非整个 AI 行业

Claude Code 对外发布后迅速在全球开发者中走红。彼时 Microsoft Copilot、Cursor 已经有较高人气,但 Claude Code 以“更自主地编写和调试代码”形成差异化。
报道给出的核心变化是:在 AI 编码工具/代理这个细分领域,Anthropic 从追赶者变成了阶段性领跑者,OpenAI 等竞争者需要加速追赶。
这一判断应限定在编码场景,不宜外推为整个 AI 产业格局全面逆转。

3. 商业化速度:一年内从十亿到二十五亿美元年化

公司披露显示,Claude Code 在发布后前六个月就达到 10 亿美元年化收入,此后增长至 25 亿美元年化收入
用户结构也出现明显外扩:从早期主要面向 AI 导向型初创公司,延伸到《财富》500 强企业工程团队,以及希望自己做应用的非技术爱好者。
应用案例跨度很大,从番茄种植相关项目到辅助 NASA 火星车路线规划;社交媒体上甚至出现“Claude-pilled”(对 Claude 高度着迷)的用户自我标签,反映其用户认同度和黏性在上升。

4. 产品意义升级:从“生成文本/代码”到“持续执行任务”

报道将 Claude Code 与 ChatGPT 早期影响做了清晰区分:ChatGPT 证明了生成式 AI 能输出高质量文本;Claude Code 则展示了 AI 可以在较少干预下执行一部分真实工作。
Anthropic 表示,部分用户已经会让 Claude Code 连续自治工作超过 45 分钟;整体看,用户平均每周与 Claude Code 协作约 20 小时
这说明评估标准正在变化:不再只是“回答得好不好”,而是“能否独立完成一段任务链条、并稳定交付结果”。

5. 组织层面的真实落地:Spotify案例与内部岗位扩散

Spotify 首席架构师兼工程副总裁 Niklas Gustavsson 表示,约 三分之二员工已选择使用 Claude Code,且采用率高于公司内其他同类工具。Spotify 还做了内部工具 Honk,让员工可在 Slack 中直接调用 Claude Code 修改代码库。
Gustavsson 形容这种变化是一次“思维跳跃”:他从业 30 年,过去工作总是“代码在正中央”,现在这种关系被倒过来了。受访时,他的电脑后台同时跑着至少 4 个 Claude Code 代理。
他也指出,AI 编码工具带来的收益难用单一指标完整表达,但 Spotify 多项内部生产力指标都在上升。
Anthropic 方面则称,随着过去六个月 Claude Code 使用增加,公司工程师生产率按一项口径提升 200%;此外,使用者已不只限于工程团队,销售、数据分析、产品经理也在使用 Claude Code。

6. 扩张与市场反应:从编码走向行业应用,引发板块波动

在 Claude Code 爆发后,Anthropic 正将 AI 产品能力推向医疗、金融、法律服务等领域。
这一扩张已触发资本市场连锁反应:近期部分法律软件公司股价大跌,投资者担忧传统软件能力被新一代 AI 快速替代;Anthropic 发布 Claude Code 的安全漏洞识别新功能后,网络安全板块也出现下跌。
Anthropic 美洲负责人 Kate Jensen 认为,市场波动很大程度上是对“技术进步速度过快”的反应。她同时强调,传统软件公司并非只能被替代,也可能通过在 Anthropic 技术之上构建新能力而受益。

7. 风险与下一道门槛:就业担忧、自治失误、跨行业复制

Claude Code 的成功同时放大了两类担忧:
- 就业层面:包括初级岗位可能被压缩,连 Dario Amodei 也公开表达过相关担忧;
- 安全层面:自治代理一旦出错,影响可能更大。
Anthropic 表示已有团队在研究并应对这两类问题。
但从短期看,最现实的挑战是:能否在其他职业群体中复制编码场景的采用速度和商业效果。 报道特别指出,程序员本就是对前沿技术采用更快的人群,这意味着“从程序员走向全行业”并不会自动发生。

已披露动作与市场反应

公司动作

  • 持续强化 Claude Code 的自治编码与调试能力。
  • 推出用于识别软件漏洞的新功能,强化企业安全场景切入。
  • 将产品推进到医疗、金融、法律等垂直行业。
  • 内部不仅工程师使用,销售、数据分析、产品经理也已接入。
  • 表示已配置团队处理就业影响与自治风险问题。

外部反应

  • 开发者与企业采用速度超预期,形成全球扩散。
  • Spotify 大规模落地,且采用率高于同类产品。
  • 法律软件与网络安全板块因“AI替代预期”出现明显波动。
  • 社交媒体出现“Claude-pilled”等高黏性用户标签。

关键数据速览

指标 数值 说明
Claude Code 公开发布时间 约 1 年前 以报道时点回看
年化收入(发布后前 6 个月) 10 亿美元 Anthropic 披露
当前年化收入 25 亿美元 Anthropic 披露
部分用户单次自治运行时长 超过 45 分钟 Anthropic 描述
用户平均每周协作时长 20 小时 Anthropic 描述
Spotify 选择使用比例 约 2/3 员工 Spotify 高管披露
Anthropic 工程师生产率变化 +200%(单一口径) Anthropic 披露
Gustavsson 从业时长 30 年 其本人表述
访谈中并行代理数 至少 4 个 现场描述

结论回顾

  • Claude Code 已从内部副项目成长为 Anthropic 的核心增长引擎。
  • 其突破点在于“可持续执行工作任务”,而不只是生成代码片段。
  • Anthropic 的领先目前主要成立于 AI 编码代理细分市场。
  • 下一阶段胜负手在于:能否把编码场景的成功复制到更多行业,同时稳住就业与安全风险。