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Photo: Bloomberg News
As OpenAI moves closer to a potential public listing, the company has begun setting expectations with investors by outlining a wide range of risks tied to its business model. In a detailed financial document resembling an IPO prospectus, OpenAI highlighted its deep reliance on Microsoft as a critical vulnerability.
The company acknowledged that Microsoft currently provides a “substantial portion” of both its financing and computational infrastructure, making the partnership essential to its operations. While the relationship has been instrumental in scaling OpenAI’s capabilities, executives are now signaling that such concentration risk could pose challenges if the partnership evolves or weakens.
The disclosure comes shortly after OpenAI secured a massive $110 billion funding round, backed by major technology players including Amazon, Nvidia, and SoftBank. The company is also in advanced discussions to raise an additional $10 billion, which would further strengthen its balance sheet ahead of a possible IPO.
This latest capital injection has pushed OpenAI’s valuation to approximately $730 billion, placing it among the most valuable private companies globally. The scale of funding reflects both the explosive growth of artificial intelligence and investor confidence in OpenAI’s market leadership.
Microsoft has been a cornerstone of OpenAI’s growth since its early investment in 2019. The partnership includes deep integration with Microsoft’s Azure cloud platform, which powers a significant portion of OpenAI’s computing needs.
To date, Microsoft has invested roughly $13 billion into OpenAI and holds a 27% diluted stake in its for-profit entity, valued at around $135 billion. However, this tight integration creates a dependency that OpenAI now explicitly acknowledges as a risk.
The company warned that any changes to the commercial agreement—whether through modification or termination—could materially impact its financial condition, operational capabilities, and long-term growth prospects. As a result, OpenAI emphasized the importance of diversifying its partnerships and reducing reliance on a single provider.
In response to growing demand and infrastructure constraints, OpenAI has already begun expanding its ecosystem. The company has started working with alternative cloud and compute providers such as Oracle and Google, alongside specialized infrastructure firms like CoreWeave.
This multi-partner strategy is designed to enhance resilience, improve scalability, and reduce exposure to any single point of failure. It also reflects the broader competitive landscape, where even close collaborators like Microsoft are increasingly becoming direct competitors in the generative AI space.
One of the most significant challenges highlighted in the document is the enormous cost of running advanced AI systems. OpenAI disclosed that it has already committed an estimated $665 billion toward compute-related expenses through 2030.
These costs include investments in data centers, specialized chips, and cloud infrastructure, all of which are essential for training and deploying large-scale AI models. The company noted that its compute requirements are highly dynamic and could increase substantially as demand for AI services continues to surge.
The reliance on high-performance chips also introduces supply chain risks. OpenAI specifically pointed to potential disruptions involving Taiwan Semiconductor Manufacturing Company, particularly in the event of geopolitical tensions in East Asia. Any disruption in chip production could significantly impact the company’s ability to scale its operations.
Beyond operational and financial risks, OpenAI is facing an expanding list of legal challenges. The company disclosed multiple ongoing lawsuits involving intellectual property, privacy concerns, and product liability.
Among the most notable are legal disputes involving Elon Musk and his AI venture xAI. These cases stem from longstanding disagreements over OpenAI’s direction and governance, with some expected to proceed to trial in the near future.
Additionally, OpenAI revealed that at least 14 lawsuits have been filed by users or their families, raising concerns about the potential societal and psychological impacts of AI systems. These cases introduce reputational and regulatory risks that could shape the company’s future operations.
OpenAI’s hybrid structure also presents challenges for investors. Originally founded as a nonprofit in 2015, the organization has since evolved into a complex entity that includes a for-profit arm governed by a nonprofit parent, the OpenAI Foundation.
This structure is designed to balance commercial growth with broader societal goals, but it can also create ambiguity around governance, profit distribution, and long-term strategic priorities. For public market investors, such complexity may require additional scrutiny.
Interestingly, while the document emphasizes the importance of key personnel to the company’s success, it avoids explicitly naming individuals such as CEO Sam Altman.
Altman has played a central role in shaping OpenAI’s trajectory, but his leadership has not been without controversy. His brief removal and subsequent reinstatement in 2023 highlighted internal governance tensions and underscored the importance of leadership stability in high-growth technology firms.
OpenAI’s risk disclosures offer a rare and detailed look into the inner workings of one of the world’s most influential AI companies. While the firm’s growth trajectory remains extraordinary—driven by products like ChatGPT, which now serves hundreds of millions of users weekly—the challenges it faces are equally significant.
From dependence on key partners and massive infrastructure costs to legal battles and geopolitical risks, OpenAI is navigating a complex and rapidly evolving landscape. As the company moves closer to a potential IPO, these disclosures provide investors with a clearer understanding of both the opportunities and the vulnerabilities that define the future of artificial intelligence.









