Oracle denies OpenAI data center delays as Wall Street questions AI infrastructure buildout

Reviewed byNidhi Govil

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Oracle pushed back against reports of delayed data centers for OpenAI, insisting all contractual commitments remain on track. Bloomberg cited labor and material shortages pushing completion to 2028, triggering a stock decline and broader concerns about the pace of AI infrastructure expansion. The controversy highlights growing investor scrutiny over Oracle's aggressive $300 billion bet on AI capacity.

Oracle Denies Data Center Delays Amid Market Turbulence

Oracle found itself at the center of market turbulence after Bloomberg reported the company had pushed back completion dates for several OpenAI data centers from 2027 to 2028, citing labor and material shortages

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. The report sent Oracle stock sliding as much as 6.5% before the company issued a firm rebuttal

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. Oracle spokesperson Michael Egbert told Reuters that "there have been no delays to any sites required to meet our contractual commitments, and all milestones remain on track"

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. The controversy exposes the tension between Oracle's ambitious AI infrastructure plans and Wall Street's growing nervousness about whether these massive investments will deliver returns.

Source: BNN

Source: BNN

Labor and Material Shortages Challenge AI Infrastructure Expansion

The reported delays stem from fundamental bottlenecks in the AI infrastructure buildout that extends beyond chip availability. Bloomberg's sources familiar with the projects blamed shortages of skilled labor and materials for the setback, though the exact nature of the material shortages—whether building materials, data center equipment, or surrounding infrastructure components— remains unclear

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. The data center rush has created a shortage of capable construction workers and driven up wages for those available, according to recent Wall Street Journal reporting

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. Trump's tariffs have further complicated matters, contributing as much as $6 billion in additional costs to the AI buildout and making construction materials harder to source

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. Bob O'Donnell, chief analyst at TECHnalysis Research, noted that "concerns about the ability to build data centers due to construction delays, power availability and other practical factors are becoming a much bigger factor than the expected demands for AI capabilities"

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Source: Gizmodo

Source: Gizmodo

Stargate AI Program and Oracle's $300 Billion Commitment

The delayed facilities are part of Oracle's commitments under the Stargate AI infrastructure program jointly announced in January by Oracle, OpenAI, and SoftBank

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. Under a contract inked in July, the two parties plan to increase Stargate AI data center capacity to two million AI accelerators and 5 GW of power

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. In September, OpenAI confirmed a partnership with Oracle worth more than $300 billion over the next five years

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. The U.S.-based AI campuses are planned on an unusually aggressive scale, with some designed to rank among the largest data centers globally once completed

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. Oracle CEO Clay Magouyurk emphasized the company's confidence in its expansion plans, pointing to 147 active regions, 64 more in development, and roughly 400 MW of data center capacity delivered in one quarter

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Source: ET

Source: ET

Oracle Stock Decline Reflects Broader Investor Concerns

The Oracle stock decline reflects mounting investor concerns about the company's debt-fueled cloud capacity buildout and its heavy reliance on OpenAI. Shares fell 3.6% following the Bloomberg report before paring losses to 2.8%. The selloff extended to other AI-related shares, with Nvidia, Advanced Micro Devices, Micron, and Arm Holdings down between 2% and 4.5%. Broadcom dropped more than 11% after warning that rising sales of lower-margin custom AI processors were squeezing profitability. The cost of insuring Oracle's debt against default surged to its highest in at least five years. Oracle shares are up just 13% for the year, having erased all gains from a 36% jump in September when it reported a massive backlog of over $450 billion—mostly tied to OpenAI.

AI Capacity Delivery and the Abilene SuperCluster

Oracle continues to demonstrate its ability to deliver AI capacity at scale, with Clay Magouyurk citing the SuperCluster in Abilene, Texas as a key example. The facility houses nearly 200,000 Nvidia GPUs and was built in several months

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. Magouyurk told analysts that the Abilene SuperCluster "is on track with more than 96,000 Nvidia Grace Blackwell GB200 delivered," adding that Oracle "also began delivering AMD MI355 capacity to customers this quarter"

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. The company stressed it only accepts orders when confident it can fulfill them, following "a very rigorous process before accepting customer contracts" to ensure "all the necessary ingredients to deliver to customer success at margins that make sense for our business"

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. Long a smaller cloud computing player compared to hyperscaler competitors Amazon, Microsoft, and Google, Oracle has leaped into the AI infrastructure race this year, though the buildout has forced the company to borrow aggressively.

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