Oracle Named Top 2026 AI Pick by Deutsche Bank, Data Center Drives 14% Growth

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Deutsche Bank named Oracle a top 2026 stock pick, citing its massive AI infrastructure footprint and overlooked revenue streams. Its AI data center push generated 14% revenue growth and a record backlog but entails a $50 billion capex plan that has driven negative cash flow.

1. Deutsche Bank Names Oracle a Top 2026 AI Pick

In its annual technology outlook, Deutsche Bank identified Oracle as one of its two highest-conviction stock picks for 2026, citing the company’s extensive AI infrastructure footprint and underappreciated software revenue streams. The bank highlighted Oracle’s cloud data centers—now deployed in more than 40 regions globally—and estimated that Oracle’s AI-related businesses could generate an incremental $5 billion in annual revenue by 2027. Deutsche Bank analysts point to Oracle’s differentiated model of selling CPU, GPU and networking hardware alongside its Fusion Cloud applications, arguing this end-to-end approach positions the company to capture enterprise AI budgets more effectively than pure-play software vendors.

2. Stock Down 4.6% Since Last Earnings Report

Since reporting its fiscal Q3 results one month ago, Oracle’s shares have declined 4.6%, reflecting investor concerns over near-term margin pressure and elevated operating expenses. The company delivered revenue growth of 13% year-over-year for the quarter, driven by both cloud infrastructure services and software licenses, but non-GAAP operating margins contracted by 220 basis points. Management attributed the margin compression to ramping headcount in AI research and higher data center build-out costs. Analysts now forecast mid-teens revenue growth for fiscal 2026, down from prior estimates of 18%, while maintaining a positive thesis based on long-term AI demand.

3. AI Data Center Investment Spurs 14% Growth but Tests Cash Flow

Oracle’s aggressive push into AI data centers has fueled 14% year-over-year growth in its IaaS segment for the last four quarters and led to a record backlog of $12.7 billion in committed cloud contracts. However, this expansion has come at the cost of $50 billion in capital expenditures over the past 12 months, resulting in negative free cash flow of $3.1 billion for the most recent fiscal year. Management defends the investment as foundational for securing large enterprise and government AI workloads, projecting that once utilization rates cross 60%, cash generation will turn positive and margins will recover toward historical levels.

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