Microsoft-backed OpenAI has doubled its annual recurring revenue (ARR) from $5.5 billion in December 2024 to $10 billion by June 2025.

This proves strong demand for its AI products like ChatGPT and business tools such as its API. The biggest source of revenue is ChatGPT Plus subscriptions, which the company expects will generate around $8 billion by the end of 2025.

The tech firm’s business tools show higher adoption rates from enterprises because they now serve 3 million paying companies, up from 2 million in February. API access makes up about a third of the company’s total ARR because it allows outside developers to use the firm’s language models in their own apps.

Microsoft’s earnings could be even higher because the $10 billion figure does not include revenue from its licensing deals or large one-time contracts with other companies that bring large sums but don’t recur regularly.

Many people now rely on AI for tasks like writing, learning, coding, and organizing information, as OpenAI reports that about 500 million users are active weekly. Additionally, between 800 million and 1 billion people are using ChatGPT globally as of mid-2025. 

OpenAI is introducing new pricing models or premium features to monetize its massive base of free users in 2026. This will allow it to grow more than tenfold in just four years and achieve its goal of $125 billion in annual revenue by 2029. These new strategies will give the company a stronger path toward long-term growth and profitability and add an extra $25 billion annually in revenue.

The firm is setting the pace for what AI companies can achieve when their tools become essential to everyday users and global enterprises, as proven by its fast rise in revenue, users, and business adoption.

OpenAI’s rising value brings big spending and major losses

OpenAI is now the world’s second most valuable private tech company, valued at $300 billion, just behind Elon Musk’s SpaceX. Despite strong investor confidence, the company faces pressure to maintain its rapid growth. While revenue is soaring, its operating costs are climbing even faster.

Before considering new spending commitments in 2025, the company reported a loss of around $5 billion in 2024. The firm has been pouring money into hiring the best AI researchers and acquiring top design and coding startups. Moreover, it has been building and maintaining powerful computing systems needed to train its large language models.

Compute costs likely comprised the largest share of the company’s entire budget because OpenAI spent around $5 billion on its infrastructure in 2024 alone. This includes high-end chips like NVIDIA GPUs, massive cloud servers, and custom infrastructure for running AI models. 

Industry insiders describe the company’s aggressive spending as a dangerously high burn rate (how fast it spends its available cash). They suggest it needs more funding because it could run out of money in the next 12 to 18 months. Despite leading in AI innovation and product adoption, OpenAI hasn’t built a business model that can support this scale without external funding.

To solve this, OpenAI started one of the largest funding rounds ever for a private tech company led by Japanese tech conglomerate SoftBank. It raised $40 billion in March 2025. The funding showed that investors have enormous expectations for what OpenAI might become in five to ten because it valued the company at $300 billion (30 times higher than its annual revenue of $10 billion).

Investors are betting that OpenAI will eventually dominate the consumer and enterprise AI markets and possibly expand into hardware, robotics, and other AI-powered tools.

Despite investor optimism, the tech firm still has several years of expected losses ahead, as it admitted that it doesn’t expect to be profitable until 2029. The company admits that it must continue to spend heavily on research, infrastructure, and new product development. It must also deal with legal and regulatory issues, such as copyright lawsuits like the one filed by the New York Times and questions about how it collects and uses training data.

Competition in the AI industry also puts more pressure on OpenAI to keep investing aggressively because companies like Google DeepMind, Anthropic, and Meta are attracting big enterprise clients and raising billions of dollars with their advanced AI models.

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