Microsoft (MSFT) is entering a new chapter in its artificial intelligence (AI) strategy, defined less by partnership and more by independence. After investing nearly $14 billion in OpenAI and tightly integrating its models into Azure, Microsoft 365 Copilot, GitHub, and other flagship products, the company is now openly pursuing what it calls “true self-sufficiency” in AI. That ambition goes beyond incremental diversification. It signals a structural shift toward developing internal frontier models, expanding proprietary AI chips like the Maia accelerator, and reducing dependence on a single external supplier for its most critical technology layer.
So, as Microsoft doubles down on “true self-sufficiency,” the central question for investors becomes clear: Is this strategic shift a calculated step toward deeper competitive advantage and long-term value creation, or does it add another layer of risk to its growth story? And more importantly, should you increase your position in MSFT now or wait for clearer evidence that the strategy will pay off? Let’s take a closer look!
Microsoft is a dominant force in the technology sector and has a diverse portfolio spanning software, cloud computing, artificial intelligence, gaming and hardware. Notably, the company is among the pioneers in targeting the AI market through its partnership and substantial investments in OpenAI. MSFT has a market capitalization of $2.98 trillion, making it the fourth most valuable public company in the world.
Shares of the tech giant have fallen 18% year to date (YTD). There are two main factors behind those losses: the company’s second-quarter earnings report and sour sentiment toward the software sector. MSFT stock took a hit in late January after the tech giant reported higher-than-expected spending and slower cloud sales growth, stoking investor fears that its AI investments may take longer than expected to pay off. The stock was also caught up in a software sector sell-off amid concerns that AI could disrupt the industry.
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Microsoft’s head of artificial intelligence, Mustafa Suleyman, told the Financial times last week that the tech giant is striving to achieve “true self-sufficiency” in AI. That means developing its own powerful models and constantly reducing its reliance on OpenAI, even as the two companies maintain their partnership. Basically, the company aims to move beyond the “driven by someone else” model.
Suleyman told the outlet that the strategic shift followed the restructuring of its partnership with OpenAI in October 2025. The deal converted Microsoft’s $13.75 billion investment into a 27% stake in OpenAI Group PBC, valued at approximately $135 billion. Under the pact, Microsoft’s intellectual property rights for models and products were extended until 2032, including post-Artificial General Intelligence (AGI) models. Besides, Bloomberg reported that Microsoft will continue to have the right to receive 20% of OpenAI’s revenue. Meanwhile, OpenAI gained the flexibility to source computing power beyond Azure and seek new investors, while Microsoft secured the right to pursue AGI independently, either on its own or with third-party partners.
Microsoft’s flagship AI product is Microsoft 365 Copilot, which acts as an “AI-first” productivity assistant integrated across the entire Microsoft 365 ecosystem. It combines large language models (LLM) with Microsoft Graph organizational data, including emails, chats, and documents, to provide contextual assistance. Microsoft 365 Copilot is actively driving company results and revenue. In the most recent quarter, revenue in the Productivity and Business Processes segment increased 16% year-over-year (YoY) to $34.1 billion, driven by growth in Microsoft 365 Commercial Cloud, which was in turn driven by Microsoft 365 E5 and Microsoft 365 Copilot. During the second quarter earnings conference call, CEO Satya Nadella said enterprises are now paying for 15 million Microsoft 365 Copilot subscriptions. The key point is that Microsoft 365 Copilot is primarily based on OpenAI’s advanced LLMs, hosted on Microsoft’s Azure OpenAI service. And that dependence on a “single supplier” began to look like a vulnerability, potentially leading the company to develop its most advanced technology in-house.
Suleyman said: “We have to develop our own basic models, which are at the absolute frontier, with gigawatt-scale computing and some of the best AI training equipment in the world.” The company is investing heavily in collecting and organizing the vast data sets needed to train advanced systems. “That is our true mission of self-sufficiency,” Suleyman added. He also said the company’s in-house models are expected to launch “sometime this year.” Microsoft’s AI chief noted that the company aims to capture a larger share of the enterprise market by developing “professional-grade AGI,” advanced AI tools capable of handling the everyday tasks of knowledge workers.
Meanwhile, the company appears to have begun its AI “self-sufficiency” push even before the restructuring of its partnership with OpenAI was announced. In August 2025, Microsoft AI previewed MAI-1, describing it as “an internal expert combination model” that was “pre-trained and post-trained on ~15,000 NVIDIA H100 GPUs,” with plans to integrate it into select Copilot text applications. The company is also pushing for “self-sufficiency” in AI hardware, having recently introduced its Maia 200 accelerator, the second generation of its in-house processors. Some of the first units were slated for Microsoft’s superintelligence team, where they would generate data to help improve the next generation of AI models. The chips will also power the Copilot assistant for enterprises and AI models, including the latest from OpenAI, which the company rents to cloud customers.
Beyond its core push for “self-sufficiency” in AI, Microsoft is also reducing its reliance on OpenAI in other ways. The company has expanded its AI vendor base, hosting models from xAI, Meta, Mistral and Black Forest Labs in its data centers. It also recently started using models from startup Anthropic for coding and within its Microsoft 365 productivity suite.
Microsoft’s quest for “true self-sufficiency” marks a major shift from being the main distributor of OpenAI to becoming its direct competitor in the development of “frontier” AI models. This strategy aims to give Microsoft full control over its AI ecosystem, from the chips and data centers to the underlying intelligence, eliminating the risk of being “driven by someone else.” The move is widely seen as a strategic and long-term positive for MSFT stock.
First, it allows Microsoft to control its own “AI destiny” while reducing dependence on a single external partner. Second, Microsoft can reduce the licensing fees it pays to OpenAI by implementing its own models, thereby improving its profit margins. Finally, internal models can allow Microsoft to tailor AI solutions specifically for corporate customers, potentially increasing its market share in the enterprise AI market.
However, there are also risks, as the development of proprietary “frontier” models requires massive investment in infrastructure, which means high capital expenditure, something that has recently weighed on MSFT stock. Additionally, Microsoft has said it remains constrained by limited AI computing capacity, meaning it must allocate resources between its internal AI development efforts and the numerous external customers that rely on its cloud services for AI workloads. Amy Hood, Microsoft’s chief financial officer, said that if the company had allocated all of its newest GPU chips to Azure, the growth rate would have exceeded 40% in the second quarter.
Taken together, I believe the potential long-term benefits of Microsoft’s push toward “true self-sufficiency” in AI outweigh the associated risks. And considering where MSFT stock is trading after the post-earnings sell-off, it’s a real gift for long-term investors.
Wall Street analysts remain very bullish on MSFT stock, as reflected by their “Strong Buy” consensus rating. Among the 50 analysts covering the stock, 41 rate it as a “Strong Buy,” four assign it a “Moderate Buy” rating and the remaining five recommend a hold. The average price target for MSFT stock is $595.60, representing a 48.4% upside potential from Friday’s closing price.
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At the time of this publication, Oleksandr Pylypenko held a position at: MSFT. All information and data in this article are for informational purposes only. This article was originally published on Barchart.com
