6 Milliarden von OpenAI ab 2026

by priyanka.patel tech editor

Microsoft is moving from the role of a silent benefactor to a primary beneficiary in its high-stakes gamble on generative AI. In a significant pivot to the commercial terms of its partnership with OpenAI, the software giant is now expected to receive payments of approximately $6 billion from OpenAI starting in 2026, a notable increase from previous projections of $4 billion.

This shift transforms the perception of the deal from a massive upfront investment into a visible revenue stream. For a company that has poured billions into the infrastructure required to run Large Language Models (LLMs), the revised agreement signals that the “AI megatrend” is beginning to produce tangible financial returns beyond mere cloud consumption.

The updated terms provide Microsoft with access to OpenAI’s intellectual property and models through 2032. While OpenAI has gained more flexibility to utilize cloud capacities from competitors like Amazon Web Services (AWS) or Google Cloud, Microsoft retains a critical strategic edge: OpenAI products must remain available on Azure first, ensuring Microsoft continues to hold the first-mover advantage in the enterprise AI market.

The Investor Pivot: Why Bill Ackman is Betting on Azure

The revised OpenAI deal arrives as Microsoft faces renewed confidence from institutional investors. Bill Ackman, the founder of Pershing Square, has recently established Microsoft as a core position in his portfolio. Ackman cited a highly attractive valuation following a recent dip in share price, noting an entry point at approximately 21 times expected earnings—a figure he views as significantly below the company’s historical average.

From Instagram — related to Bill Ackman, Pershing Square

Ackman’s thesis relies on more than just a lower stock price. He has highlighted the inherent stability of Microsoft 365 and the surging demand for AI inference on the Azure platform. The central question for the market remains whether Microsoft can translate its aggressive spending on data centers and H100 chips into sustained, long-term growth.

Despite this optimism, the stock has experienced volatility. While recently showing a bounce—closing at 362.95 Euro with a 3.42 percent gain—the value remains down roughly 10 percent since the start of the year. This gap reflects a broader market nervousness regarding the sheer scale of AI capital expenditures and the intensifying competition from other hyperscalers.

Balancing Infrastructure with Internal Efficiency

As Microsoft doubles down on AI infrastructure, it is simultaneously streamlining its legacy and peripheral operations. LinkedIn is currently implementing a workforce reduction of approximately 5 percent, affecting roughly 875 employees across its technical, product, and marketing divisions. This move is part of a broader corporate realignment, shifting capital away from general headcount and toward AI automation and hardware.

Balancing Infrastructure with Internal Efficiency
Internal Efficiency As Microsoft

This internal restructuring mirrors a wider industry trend where “AI efficiency” is used to justify layoffs in non-core areas. By reducing spending on human capital in established segments, Microsoft is freeing up the liquidity necessary to maintain its lead in the AI arms race.

AI-Driven Security: The MDASH Initiative

Microsoft is also demonstrating how it intends to use AI to secure its own ecosystem. The company recently deployed an internal AI system known as “MDASH,” which successfully identified 16 previously unknown vulnerabilities within Windows. Four of these were classified as critical gaps that could have allowed remote code execution.

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These vulnerabilities were addressed in the most recent Patch Tuesday update. Microsoft plans to launch a private testing phase for the MDASH system for corporate customers in June, signaling a shift toward AI-managed cybersecurity where models are used to hunt for bugs faster than human researchers can.

The Road to 2026: Financial Outlook and Risks

Wall Street remains generally bullish, though analysts are closely monitoring Azure’s capacity constraints. Dan Ives of Wedbush maintains an “Outperform” rating with a price target of $575, viewing the new OpenAI terms as a net positive. Similarly, TD Cowen maintains a target of $540, though they caution that Azure’s growth may be temporarily throttled by limited server capacity.

The Road to 2026: Financial Outlook and Risks
Azure
Metric/Event Detail Timeline/Status
OpenAI Payments ~$6 Billion Starting 2026
IP Access OpenAI Models Until 2032
LinkedIn Cuts ~875 Employees Ongoing
Azure Target Growth Acceleration H2 2024

From a technical standpoint, the stock is showing signs of stabilization. It is currently trading above its short-term average of 342.82 Euro, though it remains below the long-term trend line of 396.86 Euro. A Relative Strength Index (RSI) of 66.4 suggests a strengthening position, though not yet a definitive trend reversal.

The critical litmus test will arrive in the second half of the year. If Azure can overcome its current capacity bottlenecks and accelerate growth, it will validate both Bill Ackman’s valuation argument and the long-term viability of the 6 billion from OpenAI by 2026. If capacity remains a ceiling, the pressure regarding the company’s massive investment spend will likely return to the forefront of investor concerns.

Disclaimer: This article is for informational purposes only and does not constitute financial or investment advice.

The next major checkpoint for investors will be the upcoming quarterly earnings report, which will provide the first concrete evidence of whether Azure’s AI-driven growth is accelerating as predicted by analysts. We invite you to share your thoughts on Microsoft’s AI strategy in the comments below.

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