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Oracle’s 2025 stock pullback masks its long-term strength, backed by accelerating AI-driven data center growth and rising RPO.
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With a growing global footprint and leadership in multicloud infrastructure, Oracle is emerging as a key hyperscaler in the AI ecosystem.
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Despite short-term volatility, analysts maintain a bullish long-term outlook, projecting Oracle’s revenue to double by fiscal 2028.
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Interested in Oracle Corporation? Here are five stocks we like better.
Oracle’s (NYSE: ORCL) 2025 stock price action might suggest it is a hard pass for 2026, but that would be misreading the chart.
The 2025 price correction came after a large inflow of capital, fueled by an expanding positive outlook connected to AI, indicating strong gains are expected.
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While uncertainty clouds the near- and mid-term outlooks, the long-term outlook includes Oracle as a well-positioned, critical hub in the global datacenter ecosystem.
Investors who look beyond short-term volatility may find Oracle’s AI infrastructure strategy offers a compelling runway for future growth.
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There will be many winners in the AI ecosystem, but the biggest, most enduring wins will be made by the hyperscalers, of which Oracle is one. The hyperscalers control approximately 44% of the global data center industry and are forecast to increase it to over 60% within the coming years. While Oracle holds a small 3% share of the total, it is also gaining share within the industry. It also has a strong presence in non-hyperscale data center activity, including for businesses, enterprises, private AI developers, and sovereign regions.
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Oracle operates nearly 150 datacenters globally and has 64 under construction. That’s worth a 43% increase in capacity that internal operating metrics, including the 438% increase in Q2 fiscal year 2026 (FY2026) remaining performance obligations (RPO), suggest is already fully booked. Plans also include “gigawatt-scale” data centers to support advanced HPC computing. Regarding cloud regions, there are more than 100, including 51 public in 26 countries, 23 multicloud (a critical component), and 29 for dedicated clients, including OpenAI.
While data centers and data center growth underpin Oracle’s long-term outlook, its strength lies in multicloud operations. Businesses and enterprises, including large language model builders, rely on multiple clouds for training, inference, and core operations. Oracle is embedded throughout all hyperscale networks, enabling a unified cloud experience across the tech stack. Not only are the model builders able to access, manage, and use data across clouds, but businesses and enterprises can access models and GPUs of their choice via Oracle’s offerings. It has entrenched itself as a centralized, go-to source for AI, AI infrastructure, and AI services, all of which are critical to the global tech industry.


