Oracle's AI Cloud Ambition: Goldmine or Valuation Minefield?

Can a company once considered a "dependable, boring stock" by investors, and long-forgotten in the cloud era, successfully transform into an artificial intelligence powerhouse? Oracle's recent trajectory suggests it is certainly trying. The company, which once struggled with growth, now seeks to lead in AI-driven cloud expansion, positioning itself against giants like Microsoft, Amazon, and Alphabet.

Today, Oracle stands at a critical juncture, highlighted by a staggering $664 billion cloud backlog. This figure, often referred to as Remaining Performance Obligations (RPO), represents signed contracts for future cloud services that are yet to be recognized as revenue. It's a testament to the immense demand for AI infrastructure, but also presents a complex valuation challenge for investors.

The New Oracle: From Legacy Software to AI Infrastructure

For decades, Oracle was valued on traditional metrics like price-to-earnings and dividend yield, reflecting its status as a steady, cash-generative legacy software provider. However, this "old valuation playbook no longer works," as noted by TIKR. The business is fundamentally shifting. With current capital expenditures reaching $50.6 billion in fiscal 2026 alone, driving free cash flow deeply negative, Oracle is investing heavily in building out the infrastructure required to fulfill its massive cloud contracts. This scale of investment through depreciation suppresses near-term earnings, making traditional software P/E ratios less relevant. Instead, metrics like Next Twelve Months (NTM) EV/EBITDA, which reflects consensus expectations for margin recovery as the buildout matures, offer a more useful lens.

This transformation is not without its risks. Oracle shares have seen significant volatility, including a 13% drop in December 2025 due to gloomy forecasts and soaring spending. Its value was cut in half, falling more than 50% from its September 2025 peak of $345.72 to a February 2026 trough of $134.57, as investors intensified their caution around AI plays, according to Bloomberg. The stock has since partially recovered, yet the market continues to discount for both the free cash flow gap and the execution risk associated with converting its vast backlog.

The Scale of AI Ambition and Investment

Oracle's ambition in the AI space is underscored by monumental deals. In early July 2025, OpenAI reportedly signed one of the largest single data center leasing agreements in history with Oracle, securing 4.5 GW of data center capacity in the US. This capacity alone is estimated to be approximately 25% of the current operational data center capacity in the US. Analysts from BNP Paribas estimate this could generate between $30 billion and $60 billion in annual revenue for Oracle, though the buildout cost could be substantial, ranging from $180 billion to $225 billion.

Further demonstrating its commitment, Oracle reportedly purchased around 400,000 Blackwell GPUs, valued at $40 billion, in late May 2025 to expand its Abilene data center, which supports OpenAI. Beyond this, Oracle announced in late June 2025 other significant cloud service agreements, including a major contract expected to contribute over $30 billion in annual revenue starting in FY28. This deal alone is nearly 25% larger than Oracle's entire cloud business in FY25.

To meet this burgeoning demand, Oracle is aggressively expanding its footprint. The company plans to triple its MultiCloud data centers by building 47 more in the 12 months following July 2025, adding to its existing 23. It also aims to double its Oracle Cloud@Customer data center footprint, with 30 more being built in FY26, in addition to the 29 already live. As CTO and chairman Larry Ellison implied, every $1 billion in database support revenue could be worth $5 billion in the cloud, due to associated compute, networking, storage, and other fees. Co-CEO Clay Magouyrk stated that demand for AI infrastructure continues to exceed supply, directly visible in its RPO.

The Conversion Test: Backlog to Revenue

The $664 billion backlog is Oracle's order book, but the crucial question for investors is how quickly and efficiently this backlog converts into recognized revenue. Oracle expects half of this backlog to convert to revenue in the next 36 months. Recent figures are encouraging: Oracle Cloud Infrastructure (OCI) revenue surged 121% to $7.4 billion, reflecting a significant increase in backlog conversion.

In Q3 fiscal 2026, OCI revenue reached $4.9 billion, marking an 84% year-over-year increase, accelerating from 68% in Q2 and 49% a year prior. This sequential acceleration indicates that contracted demand is converting into live revenue at an increasing rate. Furthermore, the multicloud database segment saw revenue growth of 531% year-over-year in Q3, while AI infrastructure revenue grew 243%. Co-CEO Clay Magouyrk confirmed that 90% of committed capacity was delivered on or ahead of schedule, suggesting strong execution in deployment.

Oracle's competitive edge in the cloud, in our view, comes from its ability to deliver low-latency, high-performance AI at scale, leveraging its deep database roots and strong vector capabilities. The company expects cloud database to become its third major revenue driver in FY26, alongside IaaS and strategic SaaS.

The Path Ahead: Scrutiny on Free Cash Flow and Execution

The valuation case for Oracle, in our analysis, hinges entirely on whether the forecast free cash flow recovery materializes as scheduled by fiscal 2029. With customer prepayments of $11.4 billion and a $5.4 billion free cash flow deficit reported alongside the $664 billion backlog, funding these massive buildouts remains a key concern. While Oracle trades at a premium to many software peers, this premium is only justifiable if Oracle's cloud revenue growth rate can be sustained into fiscal 2027 and beyond, and if it meets the consensus total revenue CAGR of 21% from fiscal 2025 through fiscal 2030.

Oracle's transformation into an AI-driven cloud provider is an ambitious and capital-intensive endeavor. The record backlog and accelerating OCI revenue demonstrate strong demand and early execution. However, investors should remain diligent, carefully monitoring the conversion of RPO into actual revenue and the trajectory of free cash flow. The company’s ability to manage its enormous capital expenditures and deliver on its contracted obligations will be the ultimate determinant of whether its AI ambitions lead to an investor goldmine or a valuation minefield.