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Anthropic Expects $10.9B Q2 Revenue, First Profit; Computing Restructuring Takes on OpenAI
According to the Wall Street Journal, AI frontrunner Anthropic is on track to post an operating profit of $559 million in Q2 this year, with quarterly revenue jumping 130% to $1.09 billion. This financial milestone signals Anthropic's break from the industry's historic cash-burning pattern, making it the first frontier AI lab to report profitability—and its growth rate is outpacing even early-stage Google and Facebook.
The explosive growth is largely driven by the widespread enterprise adoption of its coding tools and strong demand for its flagship model, Claude, in autonomous agent use cases. To meet rising compute needs, Anthropic has secured resources through new data center deals and even partnerships with SpaceX.
Meanwhile, while the new flagship model Opus4.7 led to a 12% increase in token consumption per request (now at 30%), effectively raising user costs, Anthropic's own resource efficiency is improving significantly. The computing cost per dollar of revenue is projected to decline from $0.71 in Q1 to $0.56 this quarter.
In contrast, rival OpenAI has taken a more aggressive approach with direct price hikes, charging $5 per million input tokens and $30 per million output tokens for GPT-5.5, effectively doubling real user costs. In the technical landscape, Cursor's Composer2.5 is competing with Opus4.7 and GPT-5.5 at a fraction of the cost, while open-source models like Kimi K2.6 and DeepSeek Code are also posing challenges on multiple fronts.
Amid fierce competition, Anthropic has managed to cut costs through its lightweight consumer operations and deep investment deals with Google and Amazon. This first profit turnaround not only validates its business strategy but will also push the entire generative AI industry to shift from an irrational tech arms race toward a commercialization phase centered on high ROI.
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According to the Wall Street Journal, AI frontrunner
The explosive growth is largely driven by the widespread enterprise adoption of its coding tools and strong demand for its flagship model, Claude, in autonomous agent use cases. To meet rising compute needs, Anthropic has secured resources through new data center deals and even partnerships with SpaceX.
Meanwhile, while the new flagship model Opus4.7 led to a 12% increase in token consumption per request (now at 30%), effectively raising user costs, Anthropic's own resource efficiency is improving significantly. The computing cost per dollar of revenue is projected to decline from $0.71 in Q1 to $0.56 this quarter.
In contrast, rival OpenAI has taken a more aggressive approach with direct price hikes, charging $5 per million input tokens and $30 per million output tokens for GPT-5.5, effectively doubling real user costs. In the technical landscape, Cursor's Composer2.5 is competing with Opus4.7 and GPT-5.5 at a fraction of the cost, while open-source models like Kimi K2.6 and DeepSeek Code are also posing challenges on multiple fronts.
Amid fierce competition, Anthropic has managed to cut costs through its lightweight consumer operations and deep investment deals with Google and Amazon. This first profit turnaround not only validates its business strategy but will also push the entire generative AI industry to shift from an irrational tech arms race toward a commercialization phase centered on high ROI.
DeepMind CEO Hassabis: I sleep six hours a day, usually feel energetic around 1 a.m.
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