OpenAI and two existential challenges: how acquisitions should save the company

OpenAI — a company many consider the flagship of the global AI industry — faces two fundamental challenges that threaten its long-term position. Analysts from the Equity podcast on TechCrunch examined the company's recent acquisitions and attempted to answer the question: do they solve these structural problems or merely postpone the inevitable?

The first existential question is distribution. OpenAI created technologies that transformed our understanding of artificial intelligence's potential. ChatGPT became a common name for an entire class of products, GPT-4 set a new industry standard. But delivering these technologies to end users becomes increasingly difficult in conditions where Google integrates AI directly into Android and Chrome, Apple builds its own intelligent ecosystem, and Microsoft, despite a multi-billion-dollar partnership, primarily acts in its commercial interests. OpenAI lacks its own operating system, app store, or browser with hundreds of millions of users. This places the company in strategic dependence on platforms that can restrict access at any moment, change promotion algorithms, or create competing products on preferential terms.

The second existential question is computational infrastructure. Training and operating modern language models require enormous computational power and energy consumption. OpenAI spends billions of dollars annually renting resources from Microsoft Azure and other cloud providers. This creates rigid structural dependence: the company does not control one of the key variables of its economy — the cost of inference, that is, running and servicing models with each user request. When competitors like Google or Chinese labs lower prices, OpenAI finds itself in an extremely vulnerable position: either reduce margins or lose users.

In this context, the series of acquisitions OpenAI has undertaken in recent months reads quite differently than simple corporate expansion. The acquisition of Windsurf — one of the leading AI assistant tools for developers with an audience of several million active users — is a direct attack on the distribution problem. Developers are a special audience: they pay, return daily, and more importantly, become technology multipliers.

Through them, AI tools reach products used by millions of other people. Controlling this channel means controlling a significant share of the market. In parallel, the company invests in partnerships and infrastructure projects designed to reduce dependence on external computational suppliers.

Here OpenAI moves in the same direction as Amazon, Google, and Microsoft — toward vertical integration of the stack. The principal difference: technology giants have decades of accumulated infrastructure and hundreds of billions in investments behind them, while OpenAI has only several years of rapid but financially unprofitable growth.

To structural problems is added corporate context: the company is undergoing a complex transformation from a non-profit structure to a full commercial entity. Against the backdrop of a $300+ billion valuation, investors demand not only technological breakthroughs but also a clear monetization model, sustainable revenue growth, and ultimately — profitability. Acquisitions are one way to quickly close strategic gaps. But they carry serious operational risks: integration requires time, cultural and technological alignment, resource reallocation. Companies that acquire other players too aggressively often lose focus precisely when the market demands maximum concentration on the core product and iteration speed.

The next 12-18 months will be decisive. If the acquisitions help solve the distribution problem and reduce dependence on external compute — OpenAI will strengthen its position and be able to adequately respond to the challenges posed by Google, Anthropic, and strengthening Chinese AI labs. If not — the gap between the company's technological authority and its actual market sustainability will only grow.