OpenAI Races Toward IPO with High Costs: AI Giant's Growth, Losses, and Capital Game

Keywords: OpenAI, Artificial Intelligence, IPO, Financing, R&D Spending, Financial Loss, Data Center, Computing Power Competition

Introduction

As the AI industry accelerates the reshaping of global tech landscape, OpenAI stands at the intersection of capital markets and technology competition. As one of the most watched AI companies, OpenAI not only breaks industry imagination in model capability, product ecosystem, and user growth, but also demonstrates a typical 'scale-for-future' development path with extremely high R&D and operational spending. Recently disclosed audited financial data shows the company spent $34 billion last year, with losses surging, reflecting the high-cost reality behind the generative AI boom.

High Spending: The Price of Competing for AI Dominance

From the financial structure, OpenAI's spending priorities last year were very clear. R&D spending was about $19 billion, while sales, marketing, and other expenses reached nearly $6 billion, indicating the company is focusing resources on model training, computing power construction, and product promotion. For a technology-driven company, this spending model is not surprising, but its scale far exceeds the affordability of typical tech startups.

AI model iteration is no longer just algorithm optimization, but a comprehensive competition of computing power, data, and talent. OpenAI needs to continuously purchase and lease large-scale computing resources, build and maintain data centers, and attract top researchers and engineers with high salaries. These factors collectively push up operational thresholds, gradually turning AI competition into a 'capital-intensive war.'

Revenue Grows Rapidly, but Still Unable to Cover Costs

In sharp contrast to surging spending, OpenAI's revenue also maintains rapid growth. Last year, the company had revenue of about $13 billion, and by the end of 2025, its monthly revenue reached $2 billion, doubling from the end of 2024, making it one of the fastest-growing companies in history. This achievement shows that OpenAI's commercialization path has begun to bear fruit, especially in areas such as consumer-grade chat robots, enterprise services, and developer tools, forming strong market appeal.

However, revenue growth has not changed its profitability pressure. The financial report shows that OpenAI's net loss attributable to OpenAI expanded from $5 billion in 2024 to about $39 billion in 2025. Notably, this huge loss does not entirely mean a sharp deterioration in core business. Insiders pointed out that about $30 billion came from a one-time non-cash accounting adjustment, mainly related to the company's previous special equity structure. In other words, this loss reflects more accounting treatment during financial restructuring than full loss of operational control.

Excluding that adjustment, as well as non-cash expenses like employee stock incentives and Microsoft computing power credits, OpenAI's actual operating loss is about $8 billion. This number is still significant, indicating that even with rapid revenue growth, AI infrastructure and R&D spending may suppress profitability for a long time.

Capital Still Betting on the Future

Despite significant financial pressure, capital market confidence in OpenAI has not waned. Earlier, the company completed a funding round of up to $122 billion, with a pre-money valuation of $730 billion. Meanwhile, OpenAI has confidentially filed for an IPO, and its post-IPO valuation could exceed $1 trillion.

Behind the continued capital inflow is strong market expectation of AI's long-term value. Investors generally believe that whoever can first establish a comprehensive system covering model, platform, ecosystem, and commercialization is more likely to become the dominant force in next-generation tech infrastructure. Under this logic, OpenAI has received massive financial support.

However, the founding team is also aware that resource allocation needs more focus. Altman previously asked the team to focus on consumer-grade chat robots to effectively compete for the enterprise AI tool market, and successively shelved some high-cost 'side projects,' including the video generation tool Sora. This shows that OpenAI is shifting from 'broad exploration' to 'concentrated firepower,' trying to build a more solid commercial moat within a limited time.

Before IPO: Opportunities and Risks Coexist

OpenAI's push for an IPO is undoubtedly a key node in its development history. For the company, going public means not only further broadening financing channels but also subjecting valuation systems, governance structures, and public transparency to stricter market scrutiny. For the industry, if OpenAI successfully enters the capital market, it will further raise the valuation benchmark for AI companies and may trigger a new round of capital competition.

But going public does not automatically mean a profit turning point. The core contradiction in the AI industry remains: technology upgrades require continuous investment, while commercial returns often lag. In the future, whether OpenAI can convert high-growth user scale into stable cash flow, whether it can control computing power costs while maintaining model leadership, and whether it can gain an early advantage in the IPO race with competitors like Anthropic are key variables determining its long-term value.

Conclusion

OpenAI's current financial picture is both a microcosm of the rapid development of the AI industry and a concentrated reflection of the tension between technological innovation and capital consumption. Massive spending brings product iteration, user growth, and market voice, but also comes with high losses and continuous capital needs. For this company at the forefront of the industry, the real challenge is not just 'whether it can go public,' but whether it can prove after going public that the future of AI is not only worth betting on, but can also be sustained.