SoftBank sells Nvidia stake; Burry criticizes AI accounting

SoftBank sells Nvidia stake; Burry criticizes AI accounting

author
Kelly Chan
date
November 11, 2025
date
6 min read

SoftBank’s full exit from Nvidia—31.2 million shares sold for $5.83 billion—collided with Michael Burry’s high-profile critique of AI accounting practices, setting a sober tone for NVDA on November 11. Shares dipped intraday as investors weighed capital rotation toward OpenAI against questions around reported earnings quality across tech hyperscalers.

SoftBank Offloads Entire Nvidia Stake to Fund OpenAI Bet

SoftBank said Tuesday it sold its entire Nvidia position for $5.83 billion, disclosing the divestment of 32.1 million shares in October as part of a broader asset monetization plan to fund a $22.5 billion investment in OpenAI and other projects. The firm also booked proceeds from a partial T-Mobile stake sale ($9.17 billion) and tapped a margin loan on Arm to strengthen liquidity. “We want to provide a lot of investment opportunities for investors, while we can still maintain financial strength,” SoftBank CFO Yoshimitsu Goto told investors, adding the moves were designed to ensure “funding in a very safe manner” (source: CNBC).

Nvidia shares slipped about 2% on Tuesday as markets processed the headline and the firm’s capital rotation. Importantly, analysts framed the sale as strategic rather than a bearish call on NVDA specifically. “This should not be seen, in our view, as a cautious or negative stance on Nvidia,” said Rolf Bulk of New Street Research, noting SoftBank’s need for sizable capital in the quarter to fund OpenAI and other investments. Morningstar’s Dan Baker echoed the view: “At the end of the day, they are using the money to invest in other AI related companies,” reinforcing continuity in SoftBank’s AI strategy (source: CNBC).

SoftBank’s Vision Fund also reported a blowout gain, helping double profit in its fiscal Q2, underscoring that the firm’s pivot is part of an expansive AI play spanning chips, robotics, and large language models. The company’s ongoing involvement in AI projects that rely on Nvidia’s technology—like the large-scale “Stargate” data center effort—suggests commercial ties persist, even if equity exposure does not.

AI Insight on this Event:

  • Sentiment: Neutral
  • Confidence Score: The AI model assesses the immediate impact of this event with a confidence of 0.76.
  • Impact Analysis: SoftBank’s sale introduces headline pressure but is framed as a financing choice for AI investments rather than a fundamental negative read on Nvidia. The near-term effect is modestly negative for sentiment, mitigated by analyst commentary and continued ecosystem interdependence.

Michael Burry Accuses Hyperscalers of Inflating AI Earnings

Michael Burry, famed for his “Big Short,” accused major AI hyperscalers of understating depreciation by extending the useful life of compute assets, thereby “artificially” boosting reported earnings. In a post on X, he argued that “massively ramping capex through purchase of Nvidia chips/servers on a 2-3 yr product cycle should not result in the extension of useful lives,” and estimated that depreciation understatements could total about $176 billion from 2026 through 2028. He singled out Oracle and Meta, suggesting potential earnings overstatements of roughly 27% and 21% by 2028. CNBC could not independently verify the practice; Nvidia declined to comment (source: CNBC).

Burry also recently disclosed large put positions against Nvidia and Palantir—about $187 million notional against NVDA and $912 million against PLTR as of Sept. 30—fueling debate over whether his stance is a hedge or a directional bet. He teased “more detail” coming November 25. Nvidia rebounded nearly 6% Monday after a 7% slide last week, but was lower again Tuesday, reflecting the market’s sensitivity to narratives around AI spending and accounting quality.

The crux of Burry’s argument centers on GAAP flexibility around depreciation. Companies can estimate asset lifespans; extending them reduces annual depreciation expense, lifting reported earnings. If widespread, aggressive assumptions could compound earnings quality concerns at a time of unprecedented AI infrastructure investment—a dynamic that indirectly touches Nvidia via its role at the heart of AI compute cycles.

AI Insight on this Event:

  • Sentiment: Bearish
  • Confidence Score: The AI model assesses the immediate impact of this event with a confidence of 0.68.
  • Impact Analysis: While unverified, Burry’s critique raises earnings-quality questions across the AI stack. Because Nvidia sits at the center of hyperscaler capex, the narrative can weigh on sentiment, especially if it catalyzes scrutiny of AI ROI and depreciation assumptions.

Supply Chain Signals: TSMC October Growth Slows Even as AI Capex Surges

A data point from the supply chain added nuance: Taiwan Semiconductor Manufacturing Co., a key Nvidia supplier, posted 16.9% revenue growth for October—its slowest pace since February 2024—amid a backdrop of sustained, large-scale AI capex plans at hyperscalers. Markets are debating whether near-term normalization in the component supply chain reflects healthy digestion or the onset of a more measured growth phase in AI infrastructure rollout (source: Decrypt).

For Nvidia, any cooling in supplier growth might imply steadier cadence rather than a reversal, particularly if unit volumes remain resilient and next-generation product cycles proceed on schedule. However, investors may interpret mixed supply signals as justification to reassess near-term expectations.

AI Insight on this Event:

  • Sentiment: Neutral
  • Confidence Score: The AI model assesses the immediate impact of this event with a confidence of 0.60.
  • Impact Analysis: Slower supplier growth is not inherently negative; it may indicate normalization after rapid expansion. The signal warrants monitoring but doesn’t materially change Nvidia’s demand narrative by itself.

Market Reaction: NVDA Rebounds Monday, Slips Tuesday

NVDA closed Monday at $199.05, up 5.79% on the day, before slipping roughly 2% on Tuesday as SoftBank’s sale and Burry’s commentary cascaded through headlines. Intraday pressure aligns with typical volatility around large shareholder exits and high-profile critiques, especially when they intersect with broader debates about AI spending sustainability and accounting practices. The price pattern—sharp rebound after a prior week’s sell-off, followed by a modest retreat—suggests a market still digesting AI-linked narratives while awaiting hard catalysts like product cycles, bookings data, and earnings.

AI Insight on this Event:

  • Sentiment: Neutral
  • Confidence Score: The AI model assesses the immediate impact of this event with a confidence of 0.72.
  • Impact Analysis: The short-term price action reflects news-driven volatility rather than a decisive trend break. It underscores how headline sensitivity remains elevated for AI bellwethers like Nvidia.

Overall AI Insight & Synthesis

Synthesizing the day’s developments, the signals are mixed but manageable for Nvidia. SoftBank’s divestiture appears driven by funding needs for OpenAI and related projects, rather than a direct negative view on NVDA. Burry’s accounting critique amplifies scrutiny across the AI value chain, potentially dampening enthusiasm in the near term. Supply chain growth moderation adds a neutral, watchful note.

  • Aggregate Sentiment: Synthesizing all of today’s events, the overall short-term sentiment for the company is assessed as Neutral.
  • Overall Confidence Score: The AI model’s aggregate confidence in this outlook is 0.77.
  • Key Drivers Summary:
    1. Positive Driver: Analyst framing of SoftBank’s sale as strategic financing, not a bearish call on Nvidia; ongoing interdependence between SoftBank’s AI initiatives and Nvidia’s technology.
    2. Negative/Neutral Driver: Elevated scrutiny from Burry’s depreciation critique and supply chain growth normalization, which may temper near-term risk appetite.
  • Forward Outlook: Near-term trading may remain headline-sensitive, with dips on accounting-quality concerns and balance-sheet maneuvers by large holders. Over the next few weeks, investors will watch for hard data—orders, backlog, and product cadence—to validate AI demand sustainability and offset narrative risk. If Nvidia demonstrates continued execution and demand visibility, the stock’s fundamental story remains intact despite episodic volatility.

Disclaimer: This article is for informational purposes only and is based on publicly available information. It does not constitute financial or investment advice. Readers should conduct their own research before making any investment decisions.

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