Ellison Briefly Becomes World’s Richest as Oracle Bets on AI Cloud Demand

Larry Ellison briefly reclaimed the title of the world’s richest person this week after Oracle Corp. said it expects hundreds of billions of dollars in inbound revenue from AI companies using its cloud infrastructure.

Oracle shares jumped about 38% on the announcement, producing an almost $100 billion single-day increase in Ellison’s net worth and lifting it to nearly $400 billion—surpassing Elon Musk for a day before sliding back the following session as markets digested the company’s mixed fundamentals.

Company executives framed the surge as validation of Oracle’s competitive positioning in a phase of the AI boom when model builders, not end users, are the primary spenders on compute and data-center services. Oracle, which owns and operates large-scale data centers and touts lower costs than some rivals, said it has signed multi-year contracts with major AI developers, including OpenAI and xAI, that could translate into vast future revenue.

Those contract disclosures, however, came against a backdrop of weaker near-term metrics. Oracle reported results that missed revenue expectations and projected three more years of negative free cash flow. At least one industry publication reported recent layoffs. Analysts and investors have noted that while demand for raw compute and hosting has surged, Oracle’s position “low in the stack” means its fortunes depend on the success and capital spending of AI companies building the models and services.

The extreme market response also reflected Ellison’s outsized ownership stake. Ellison controls roughly 41% of Oracle, a proportion that has grown in part because of one of the largest buyback programs in corporate history. Over the past decade Oracle repurchased shares aggressively, at times borrowing to finance repurchases, which reduced the number of outstanding shares and amplified gains—and losses—for major shareholders.

Because Ellison holds a concentrated stake, swings in Oracle’s share price translate directly into large swings in his reported net worth. Critics say buybacks prioritize short-term stock appreciation over long-term investment in research, infrastructure and employees. Senate Majority Leader Chuck Schumer has previously called buybacks “one of the most self-serving things that corporate America does.” Supporters argue buybacks return capital to shareholders and can be an efficient use of cash when companies lack higher-return investment opportunities.

Ellison’s relationships with other powerful technology and political figures have drawn additional attention amid the wealth volatility. He has been publicly aligned with former President Donald Trump, hosting a 2020 fundraiser and more recently partnering on a plan dubbed “Stargate” intended to accelerate U.S. AI infrastructure. Ellison has also had private business ties with Elon Musk, whom he offered support to in Musk’s 2022 pursuit of Twitter.

The flurry around Oracle comes as lawmakers and regulators debate how to oversee rapidly advancing AI capabilities. Republican Sen. Ted Cruz on Wednesday introduced legislation proposing an experimental regulatory “sandbox” that would allow qualified AI companies to request temporary waivers from certain regulations for two-year periods, renewable for up to a decade. The Office of Science and Technology Policy director Michael Kratsios spoke in favor of shielding innovation from what he called burdensome rules at a hearing where Cruz outlined the proposal.

The sandbox idea drew immediate pushback from consumer advocates and some lawmakers. Public Citizen said the proposal would enable companies to “skirt accountability” and treat the public as test subjects. Other senators, including some Republicans, have urged stronger guardrails to address possible harms from AI, indicating that Cruz’s bill faces substantial opposition and a long legislative path.

Policy and political debates intensified this week after the killing of conservative commentator Charlie Kirk in Utah and subsequent disputes over the authenticity of a video of former President Trump posted from the White House. Within minutes of the posting, social media users and some commentators alleged the clip was AI-generated, citing brief visual anomalies. Cybersecurity experts, including Hany Farid of GetReal Security, said their review turned up no evidence that the audio or video were produced by AI and suggested localized video manipulation could explain the visual issue.

The episode underscored both the capabilities of synthetic media and the challenges of rapid verification. Companies such as Google have begun deploying watermarking systems intended to differentiate AI-generated content from authentic recordings, but experts say viral circulation often outpaces verification and that public reaction tends to reinforce existing beliefs about authenticity.

Separately, reporting in The Atlantic highlighted another dimension of AI’s commercial sweep: the training data used to build generative systems. The piece documented how AI developers have scraped millions of YouTube videos, including instructional and how-to content, to teach models tasks previously performed by human creators. The reporting argued that these practices may threaten the livelihoods of the very creators who supplied much of the raw material for AI training.

For Oracle and its investors, the current episode illustrates how fast-moving narratives about AI demand can reshape company valuations and individual fortunes even as underlying business metrics remain mixed. For policymakers, technologists and creators, the events reinforce the wider questions surrounding accountability, data use and the pace of commercial deployment of powerful AI systems—debates that are likely to intensify as companies announce more large-scale infrastructure deals and lawmakers consider how to respond.

Analysts caution that Oracle’s forecasted inbound revenue depends on long-term commitments from AI firms and effective execution on capacity and service delivery. In the short term, market reactions will likely continue to reflect both enthusiasm for AI-driven cloud demand and concerns about corporate governance, capital allocation and the broader implications of concentrated wealth tied to technology cycles.