Tag: Michael Burry

  • Nvidia-OpenAI $250 Billion Deal Raises Concerns Over Circular Financing and Debt Risks

    Nvidia-OpenAI $250 Billion Deal Raises Concerns Over Circular Financing and Debt Risks

    According to reports, OpenAI is in discussions with semiconductor giant Nvidia about a 10 GW AI data center campus in Pike County, Ohio, that will include up to $250 billion in lease and construction financing. The guarantee would cover funding for the facility and not Nvidia’s AI chips.

    SB Energy, a subsidiary of SoftBank, would help OpenAI build the facility in Ohio. The project could eventually cost more than $500 billion, including the AI chips used inside the data center, and is expected to deliver 800 megawatts of power by 2028.

    Why the Deal is Drawing Attention

    OpenAI, which is valued by private investors at around $1 trillion, continues to operate with no profit; given this, the proposed arrangement has raised questions. According to reports, Nvidia has already invested $30 billion in OpenAI and is also in talks to provide hundreds of billions of dollars’ worth of AI chips for future infrastructure.

    Critics argue that financing mechanisms of this scale blur the line between genuine customer demand and vendor-supported expansion. They warned that if infrastructure spending outpaces revenue growth from AI, then every company in the AI ecosystem may become more dependent on projects that rely on debt and credit.

    Michael Burry Raises Concerns

    Recently, Burry published a software-sector research report and made it freely available on June 21, outlining which companies he believes are best positioned for the AI era and which face greater disruption risks. Burry pushed back against claims that software companies are ‘dead’, arguing that large language models (LLMs) cannot replace human creativity. “LLMs, no matter how advanced they get at being LLMs, will never beat that creative instinct of a talented human being,” he wrote.

    Boston College Associate Dean Aleksandar Tomic added concerns about the financing model of industry, adding that “What is happening right now with OpenAI and others is that they need computing, but apparently they don’t really have the revenue or the financial capability to engage in the capital expenditures necessary to support their activities.” He also said, “They’re paying themselves Nvidia’s money to get Nvidia chips.”

    However, not everyone has the same opinion. Michael Monaghan, founder of Founder’s ETF, defended the broader investment cycle, stating, “That’s not necessarily circular financing. That’s just an economy.”

    AI Infrastructure Race Continues

    Despite these concerns, the reported agreement reflects the unprecedented scale of investment in global AI infrastructure. Leading tech giants like Microsoft, Amazon, Google, and Meta continue investing hundreds of billions of dollars to build AI data centers and computing power for next-generation foundation models.

    AI software, infrastructure, and related services are expected to exceed $631 billion globally by 2028, making businesses compete for their long-term computing resources, according to IDC.

    Regardless of whether Nvidia’s proposed backstop ever gets traction, it raises a larger issue in the AI industry: can AI infrastructure investments keep growing at the current pace, or are increasingly complex financing models just going to pose challenges for the industry?

  • Wall Street Tightens Scrutiny on Big Tech AI Spending as Investors Demand Clearer Returns

    Wall Street Tightens Scrutiny on Big Tech AI Spending as Investors Demand Clearer Returns

    Wall Street is changing how it judges artificial intelligence spending. Investors once rewarded major technology companies for expanding data centers, buying chips, and building new AI services. Strong revenue growth often eased concerns about the cost.

    That pattern changed after Alphabet and Tesla reported second-quarter results. Both companies posted sharp share losses after announcing higher spending plans. The reaction showed that investors now want clearer proof that AI investment can support cash flow, margins, and earnings.

    This shift comes before earnings from Microsoft and Meta on Wednesday, followed by Apple and Amazon on Thursday. Their capex forecasts, cloud growth, and free cash flow will give investors new data on the cost of the AI buildout.

    Alphabet Selloff Shifts the AI Capex Debate

    Alphabet raised its 2026 capital expenditure forecast to between $195 billion and $205 billion. The range increased from an earlier estimate of $180 billion to $190 billion. Most of the spending will support servers, data centers, networking equipment, and AI computing capacity.

    Google Cloud revenue rose 82% to $24.8 billion during the quarter. Total revenue reached $119.8 billion, above market estimates. However, Alphabet recorded negative free cash flow of $5.9 billion. Its shares then fell 7.13% on July 23, cutting about $294 billion from its market value.

    Investors focused on the gap between rising revenue and heavier cash use. Alphabet said demand still exceeded its available capacity. Still, the higher spending forecast raised questions about how quickly new infrastructure can produce steady returns.

    Tesla Spending Adds to Wall Street Concerns

    Tesla also increased pressure on the AI spending trade. The company spent a record $5.79 billion on capital projects during the second quarter. That spending helped push free cash flow to negative $1.09 billion.

    Management expects 2026 capital expenditure to exceed $25 billion. Tesla plans to fund robotaxis, Optimus production, AI compute, factories, solar manufacturing, and other projects. Elon Musk called 2026 a “massive capex year,” while finance chief Vaibhav Taneja said spending could rise for another two or three years.

    Tesla shares dropped about 14% after the report. Investors also reviewed weaker earnings and lower cash generation. The market response added to concern that large AI plans can pressure stocks when spending rises faster than near-term profit.

    Michael Burry Points to a New Market Test

    Michael Burry said, “the market has voted and the results are clear.” He referred to data showing that Alphabet, Microsoft, Amazon, Meta, Oracle, Micron, and Tesla had weighed on the S&P 500 since early June.

    Apple stood apart from that group. The company has avoided the largest AI infrastructure budgets and has relied more on partnerships with model developers. Apple shares gained strongly in July as investors favored its lower spending approach.

    AI demand continues to support cloud growth, chip sales, and enterprise adoption. Big Tech companies still plan to spend more than $700 billion this year, mainly on computing infrastructure. Analysts expect Microsoft, Meta, Amazon, and Alphabet to face closer review as they publish new results.

    Wall Street is not rejecting AI investment. Instead, investors are applying a stricter test. Companies must now show that higher capital spending can produce revenue growth without weakening cash flow for long periods.

  • Michael Burry Criticizes NVIDIA’s $250 Billion OpenAI Guarantee, Highlights Circular Financing Risks

    Michael Burry Criticizes NVIDIA’s $250 Billion OpenAI Guarantee, Highlights Circular Financing Risks

    Veteran investor Michael Burry, famous for predicting the 2008 financial crisis, has publicly challenged reports that NVIDIA is planning to back a $250 billion financing guarantee for OpenAI. The deal, reported by the Wall Street Journal, would involve NVIDIA guaranteeing financing for a massive 10-gigawatt AI data center campus being developed by SoftBank’s SB Energy in Ohio.

    According to the report, the guarantee would help OpenAI lease the facility despite lacking an investment-grade credit rating. The total project cost, including AI chips and supporting infrastructure, could eventually exceed $500 billion. Burry warned that such arrangements represent what he calls ‘circular financing’—where companies fund the infrastructure needed to purchase their own products, creating layers of financial dependence rather than demand driven by sustainable profits.

    Burry’s concerns echo growing skepticism among analysts who argue that mega AI projects rely on complex financing structures while many AI firms, including OpenAI, continue to operate without consistent profitability. Critics say the model could become vulnerable if AI demand cools or capital becomes more expensive.

    NVIDIA’s potential role extends beyond chip sales. The company has already invested around $30 billion in OpenAI and is reportedly considering providing up to $350 billion in financing for chip purchases. This guarantee would enable SoftBank to borrow on more favorable terms while ensuring ongoing demand for NVIDIA’s hardware. However, discussions remain ongoing, and no final agreement has been reached.

    As capital spending on AI infrastructure surges, Burry’s remarks highlight the tension between optimism about AI’s future and concerns about the sustainability of financing models. While supporters argue that demand for AI computing will continue to grow, skeptics warn that the industry’s reliance on massive investment commitments could pose dangers to both companies and investors.