Investing.com — OpenAI’s annualized revenue run rate has surpassed $40 billion, roughly doubling its pace from late 2025 as the artificial intelligence pioneer builds momentum ahead of an expected initial public offering, according to a Thursday Bloomberg report. The rapid acceleration reflects robust demand for subscription services, nascent advertising initiatives, and specialized software, particularly its Codex coding agent and enterprise-focused ChatGPT Work applications.
The milestone highlights an intensifying commercial battle with Anthropic PBC, which has similarly accelerated enterprise adoption and filed confidential paperwork for a public listing that could occur as early as this fall. While Anthropic reported a $47 billion run rate in May, differences in accounting methodologies between the private startups make direct comparisons complex, Bloomberg noted, even as both aggressively compete for lucrative corporate contracts.
Against that backdrop, OpenAI has actively adjusted its go-to-market and pricing strategies to defend market share against both domestic rivals and low-cost international competitors. The company recently reduced prices on select AI models to attract cost-conscious developers, while simultaneously tapping a veteran cybersecurity executive as its second chief revenue officer in under a year to bolster enterprise sales.
The commercial execution appears to be yielding immediate results, with co-founder and President Greg Brockman informing staff in an internal announcement that monthly revenue run rate expanded by more than 20% in July alone, according to Bloomberg. That sharp uptick follows a period of rapid scaling outlined by Chief Financial Officer Sarah Friar, who previously noted the company closed last year with an annualized revenue run rate exceeding $20 billion.
Ultimately, the top-line surge underscores how rapidly generative AI capabilities are being monetized across consumer and enterprise channels despite fierce competitive pressure. As both OpenAI and Anthropic prepare for highly anticipated Wall Street debuts, investors are likely to scrutinize whether these aggressive growth trajectories can be sustained alongside the massive capital expenditures required to train and deploy next-generation models.
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