Anthropic即将成为首个盈利的AI实验室
阅读原文· the-decoder.comAnthropic 预计 Q2 扭亏为盈，成为第一家真正不烧钱的 AI 巨头，这个拐点比任何参数发布都更能定义行业赛道的切换。
根据《华尔街日报》报道，Anthropic正接近实现其首个盈利季度，预计第二季度营收达109亿美元，运营利润为5.59亿美元。该公司在去年夏季时还预计最早在2028年才能盈利。主要增长动力来自编程工具和Claude的代理功能使用，其需求一度超过了可用的算力容量。这一转变标志着Anthropic可能成为业界首个实现盈利的领先AI研发机构。
Anthropic is about to become the first profitable AI lab
Key Points
- Anthropic expects $559 million in operating profit for Q2 on $10.9 billion in revenue, the WSJ reports.
- The main drivers: coding tools seeing massive demand and Claude's agentic task processing. Compute shortages pushed the company to sign new data center deals.
- A new tokenizer makes Opus 4.7 more expensive for users. At the same time, Anthropic cut its own compute costs to 56 cents per dollar of revenue.
Anthropic is approaching its first profitable quarter, with revenue jumping 130 percent to $10.9 billion in Q2, according to the Wall Street Journal.
Just last summer, Anthropic told investors not to expect annual profits before 2028. Now the company projects an operating profit of $559 million for the June quarter. That puts Anthropic's growth ahead of Zoom during the pandemic or Google and Facebook before their IPOs, the WSJ reports.
The main driver is Anthropic's coding tools, which companies worldwide have adopted en masse since the start of the year. On top of that, there's "agentic" use of Claude, tasks where the model works on its own over longer periods. Demand at times exceeded compute capacity, forcing Anthropic to throttle access for some users and sign new data center deals, including one with Elon Musk's SpaceX.
AI usage is getting pricier, and Anthropic benefits
On the cost side, agentic AI is a token hog, especially for coding. There's also a hidden price driver in the new flagship model: Anthropic's Opus 4.7 costs the same per token as its predecessor, but significantly more per request. The culprit is a new tokenizer that breaks the same text into up to 47 percent more tokens. For an example session of 80 rounds, developer Abhishek Ray calculated cost increases of roughly 20 to 30 percent. An OpenRouter analysis confirms real-world cost increases of 12 to 27 percent for prompts over 2,000 tokens.
OpenAI is running a similarly aggressive pricing strategy: GPT-5.5's list price doubled compared to GPT-5.4, with input tokens now at $5 and output tokens at $30 per million. OpenAI argues its responses are shorter, but an OpenRouter study shows real costs rose 49 to 92 percent.
Anthropic's efficiency is improving, too. In Q1, the company spent 71 cents per dollar of revenue on compute. This quarter, that figure is expected to drop to 56 cents. CEO Dario Amodei joked at the developer conference that revenue growth had become hard to handle. Unlike OpenAI, Anthropic relies mostly on cheaper chips through investor deals with Google and Amazon and doesn't have to subsidize a large consumer business full of free users.