In a landmark shift for the AI industry, Anthropic has overtaken OpenAI in quarterly revenue for the first time, according to Wall Street Journal reports. The milestone marks a significant reversal in the competitive landscape between the two leading AI laboratories.
Anthropic reported Q2 2026 revenue of $11.6 billion, more than doubling from the previous quarter, while OpenAI’s revenue grew only 18% to $6.7 billion. The gap represents a fundamental shift in how enterprise customers are choosing their AI providers.
Beyond revenue, Anthropic achieved a historic milestone: its first operating profit of $559 million in Q2 2026—two years ahead of internal projections. The company attributes this to improved efficiency in computing resource utilization and strong enterprise adoption.
OpenAI’s losses deepened significantly during the same period, widening from $9.3 billion to $12.3 billion. While the company added $1 billion in quarterly revenue, its losses grew by $3 billion—raising questions about its path to profitability ahead of its planned IPO next year.
The timing is particularly significant as both companies prepare to go public. Anthropic is targeting an autumn IPO with a reported $2 trillion valuation, while OpenAI is expected to follow in 2027. Each is pitching a different narrative: Anthropic points to profitability and efficient growth, while OpenAI emphasizes its reaccelerating July growth (32% month-over-month for business customers) and expanding enterprise base.
“The revenue gap with Anthropic is the story,” noted the Wall Street Journal. “For most startups, nearly $7 billion in quarterly revenue would be remarkable. The bar for OpenAI is different.”
OpenAI has responded by reshuffling leadership, replacing its chief revenue officer after less than a year, and releasing a “super app” combining Codex, ChatGPT, and a web browser. Co-founder Greg Brockman has taken a more active role in product and business teams to reignite growth.
The competitive pressure extends to pricing. Both companies have cut prices on latest models as corporate customers become more cost-conscious and shift some workloads to cheaper Chinese alternatives like Qwen and DeepSeek.