Sources: OpenAI's Q2 revenue up 18% QoQ to $6.7 billion, losses widen; Anthropic's Q2 revenue more than doubles to $11.6 billion, posts modest profit
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| Source: Techmeme | Original article
OpenAI's Q2 revenue rose 18% to $6.7 billion but its losses widened, while Anthropic more than doubled its Q2 revenue to $11.6 billion, posting a modest operating profit.
OpenAI’s second‑quarter earnings show revenue climbing 18 percent quarter‑over‑quarter to $6.7 billion, yet the company’s losses widened, according to sources cited by the Wall Street Journal. At the same time, rival Anthropic reported a more than two‑fold jump in quarterly revenue to $11.6 billion and posted a modest operating profit, marking the first time the Claude‑based firm has out‑performed the ChatGPT maker on a profit basis.
The figures matter because they signal a shift in the balance of power within the generative‑AI market. OpenAI’s growth is now being driven primarily by its enterprise segment, which has overtaken the consumer‑focused ChatGPT business. CFO Sarah Friar said the crossover occurred two quarters earlier than the company had publicly projected, underscoring the rapid monetisation of large‑scale AI deployments in corporate settings. Anthropic’s surge, bolstered by its Claude Code offering, suggests that specialised, developer‑oriented tools can translate into profitable revenue streams faster than broader consumer products.
Both firms are also navigating operational adjustments. OpenAI paused reinforcement‑learning training on its deployment‑ready models in early August, citing heightened risk and a need to harden research environments. Internal work on new model iterations was halted later that month, indicating a more cautious development cadence amid mounting competitive pressure.
Investors will be watching whether OpenAI can curb its expanding loss profile while sustaining enterprise momentum, and whether Anthropic can maintain profitability as it scales. Future updates on model‑training schedules, pricing strategies for enterprise APIs, and any moves toward public listings will be key indicators of how the rivalry shapes the broader AI ecosystem.
Sources
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