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Tag: NVIDIA

  • This Thanksgiving’s real drama may be Michael Burry versus Nvidia | TechCrunch

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    While you’ve been sweating the details over Thanksgiving, famed investor Michael Burry – the one portrayed by Christian Bale played in “The Big Short” – has been waging an increasingly aggressive war against Nvidia.

    It’s a battle worth watching because Burry might actually win it. What makes this different from every other warning about an AI bubble is that Burry now has the audience and the freedom from regulatory constraints to potentially become the catalyst for the very collapse he’s predicting. He’s betting against the AI boom, but he’s also proactively trying to convince his growing number of followers that the emperor – Nvidia – has no clothes.

    What everyone is now wondering is whether Burry can create enough doubt to truly hobble Nvidia and, by association, the other main characters in this story, including OpenAI.

    Burry has really thrown himself into the effort in recent weeks. He’s been slinging mud at Nvidia; he also traded nasty comments with Palantir CEO Alex Karp after regulatory filings revealed Burry held bearish put options on both companies – a bet worth over $1 billion that they’d crash. (Karp went on CNBC and called Burry’s strategy “batshit crazy,” to which Burry responded by mocking Karp for not understanding how to read an SEC filing.) The spat encapsulates the market’s central divide: is AI going to transform everything and thus worth every billion invested, or are we now in mania territory that’s destined to end badly?

    Burry’s allegations are specific and damning. He says Nvidia’s stock-based compensation has cost shareholders $112.5 billion, essentially “reducing owner’s earnings by 50%.” He has suggested that AI companies are cooking their books by slow-walking depreciation on equipment that’s losing value fast. (Burry believes that Nvidia customers are overstating the useful lives of Nvidia’s GPUs in order to justify runaway capital expenditures.) As for all that customer demand, Burry has basically proposed it’s a mirage because AI customers are “funded by their dealers” in a circular financing scheme.

    Enough people have begun citing Burry that Nvidia, despite all its muscle and might and blowout earnings report last week, felt compelled to respond recently. In a seven-page memo sent to Wall Street analysts last weekend by Nvidia’s investor relations team – a development first reported by Barron’s – the company fired back, saying that Burry’s math is wrong, including because he “incorrectly included RSU taxes” (the real buyback figure is $91 billion, not $112.5 billion, the memo says). Nvidia’s employee compensation is also “consistent with peers.” And Nvidia is definitely, absolutely, not Enron, thank you very much.

    Burry’s response, in a nutshell: I didn’t compare Nvidia to Enron. I’m comparing Nvidia to Cisco circa the late 1990s, when it overbuilt infrastructure that nobody actually needed at the time and its stock cratered 75% when everyone realized as much.

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    This could all look like a tempest in a teapot by Thanksgiving next year. Or not.

    Nvidia’s stock has gone up twelvefold since early 2023. The company’s market cap at this moment is $4.5 trillion. Its ascent to becoming the world’s most valuable company is faster than anything the market has seen previously.

    But Burry has a track record that’s complicated. He called the housing crisis, which brought him great acclaim. But since 2008, he has been predicting various apocalypses pretty much constantly, earning him the label “permabear” from critics, while people who listen to him with a kind of cult-like devotion have missed some of the greatest bull runs in market history. Burry smartly bought GameStop early, for example, but he then sold his shares before the meme stock explosion. He shorted Tesla and lost a fortune. After his smart housing crisis call, frustrated investors actually fled his fund because of extended underperformance.

    Earlier this month, Burry deregistered his investment firm, Scion Asset Management, with the SEC. He said it was because of “regulatory and compliance restrictions that effectively muzzled my ability to communicate,” explaining that he was frustrated, watching people misinterpret his tweets on X.

    Last weekend, he launched a Substack called “Cassandra Unchained” that he’s now using to prosecute his case against the entire AI industrial complex. The descriptor for the newsletter, a yearly subscription to which costs $400, is that it is now Burry’s “sole focus as he gives you a front row seat to his analytical efforts and projections for stocks, markets, and bubbles, often with an eye to history and its remarkably timeless patterns.”

    People are definitely listening. The newsletter launched less than a week ago, and it already has 90,000 subscribers. Which brings us again to the truly unsettling question hanging over all of this: Is Burry the canary in the coal mine, warning of a collapse that’s inevitable, or could his fame, his track record, his now unrestricted voice, and a fast-growing audience trigger the very implosion he’s predicting?

    History suggests this isn’t so crazy. Jim Chanos, the famous short seller, didn’t create Enron’s accounting fraud, but his high-profile criticisms in 2000 and 2001 gave other investors permission to question the company and accelerated its unraveling. Prominent hedge fund manager David Einhorn’s detailed takedown of Lehman Brothers’ accounting tricks at a 2008 conference made other investors more skeptical and may have hastened the loss of confidence that led to collapse. In both cases, the underlying problems were real, but a credible critic with a platform created a crisis of confidence that became self-fulfilling.

    If enough investors believe Burry about AI overbuilding, they will sell. The selling will validate his bearish thesis. More investors will sell. Burry doesn’t need to be right about every detail – he just needs to be persuasive enough to trigger the stampede. Looking at Nvidia’s November performance, it’s easy to conclude Burry’s warnings are taking hold; seeing its shares’ performance over the entire year, it’s less obvious that’s the case.

    Much clearer is that Nvidia has everything to lose, including an almost mind-blowingly massive market cap and its position as the most indispensable company of the AI age. Meanwhile, Burry has nothing to lose but his reputation and a new megaphone that he’ll presumably be using at full volume for the foreseeable future.

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    Connie Loizos

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  • Atria Investments Inc Has $148.86 Million Stock Position in NVIDIA Corporation $NVDA

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    Atria Investments Inc grew its stake in NVIDIA Corporation (NASDAQ:NVDAFree Report) by 3.2% during the 2nd quarter, HoldingsChannel.com reports. The firm owned 942,208 shares of the computer hardware maker’s stock after buying an additional 29,479 shares during the period. NVIDIA accounts for about 1.8% of Atria Investments Inc’s holdings, making the stock its 2nd largest position. Atria Investments Inc’s holdings in NVIDIA were worth $148,859,000 as of its most recent SEC filing.

    Other large investors have also made changes to their positions in the company. Harbor Asset Planning Inc. acquired a new stake in shares of NVIDIA during the 2nd quarter worth approximately $28,000. Legend Financial Advisors Inc. acquired a new position in shares of NVIDIA in the second quarter valued at $55,000. Kathleen S. Wright Associates Inc. lifted its position in NVIDIA by 169.3% in the first quarter. Kathleen S. Wright Associates Inc. now owns 404 shares of the computer hardware maker’s stock worth $44,000 after purchasing an additional 254 shares during the period. Westend Capital Management LLC boosted its stake in NVIDIA by 46.8% during the second quarter. Westend Capital Management LLC now owns 455 shares of the computer hardware maker’s stock worth $72,000 after buying an additional 145 shares in the last quarter. Finally, Copia Wealth Management increased its holdings in NVIDIA by 14.7% in the 2nd quarter. Copia Wealth Management now owns 468 shares of the computer hardware maker’s stock valued at $74,000 after buying an additional 60 shares during the period. Institutional investors and hedge funds own 65.27% of the company’s stock.

    Insider Buying and Selling

    In other news, Director Harvey C. Jones sold 250,000 shares of the company’s stock in a transaction that occurred on Thursday, September 18th. The shares were sold at an average price of $176.21, for a total transaction of $44,052,500.00. Following the transaction, the director directly owned 7,183,280 shares in the company, valued at approximately $1,265,765,768.80. This represents a 3.36% decrease in their ownership of the stock. The sale was disclosed in a document filed with the Securities & Exchange Commission, which is accessible through this link. Also, CEO Jen Hsun Huang sold 75,000 shares of the stock in a transaction that occurred on Wednesday, September 10th. The shares were sold at an average price of $177.57, for a total transaction of $13,317,750.00. Following the sale, the chief executive officer directly owned 72,248,366 shares in the company, valued at $12,829,142,350.62. This trade represents a 0.10% decrease in their ownership of the stock. The SEC filing for this sale provides additional information. Insiders have sold a total of 3,252,203 shares of company stock worth $583,255,504 in the last 90 days. Corporate insiders own 4.17% of the company’s stock.

    NVIDIA Stock Up 1.4%

    Shares of NVDA opened at $180.26 on Thursday. The company has a market capitalization of $4.38 trillion, a P/E ratio of 51.36, a PEG ratio of 1.49 and a beta of 2.11. NVIDIA Corporation has a one year low of $86.62 and a one year high of $212.19. The business’s 50 day simple moving average is $186.82 and its 200-day simple moving average is $169.74. The company has a debt-to-equity ratio of 0.08, a current ratio of 4.21 and a quick ratio of 3.60.

    NVIDIA (NASDAQ:NVDAGet Free Report) last issued its quarterly earnings data on Wednesday, November 19th. The computer hardware maker reported $1.30 earnings per share (EPS) for the quarter, beating the consensus estimate of $1.23 by $0.07. The firm had revenue of $57.01 billion during the quarter, compared to the consensus estimate of $54.66 billion. NVIDIA had a return on equity of 101.74% and a net margin of 52.41%.The business’s revenue for the quarter was up 62.5% compared to the same quarter last year. During the same quarter in the previous year, the company posted $0.81 EPS. NVIDIA has set its Q4 2026 guidance at EPS. As a group, sell-side analysts predict that NVIDIA Corporation will post 2.77 EPS for the current fiscal year.

    NVIDIA Announces Dividend

    The business also recently declared a quarterly dividend, which will be paid on Friday, December 26th. Investors of record on Thursday, December 4th will be given a dividend of $0.01 per share. The ex-dividend date is Thursday, December 4th. This represents a $0.04 annualized dividend and a yield of 0.0%. NVIDIA’s dividend payout ratio is 0.99%.

    Wall Street Analysts Forecast Growth

    A number of research firms have recently commented on NVDA. UBS Group reaffirmed a “buy” rating and set a $235.00 price objective on shares of NVIDIA in a report on Thursday, November 20th. Seaport Global Securities upped their target price on shares of NVIDIA from $100.00 to $140.00 and gave the company a “sell” rating in a research note on Monday, November 17th. Hsbc Global Res upgraded shares of NVIDIA from a “hold” rating to a “strong-buy” rating in a research note on Wednesday, October 15th. Barclays lifted their price objective on NVIDIA from $240.00 to $275.00 and gave the company an “overweight” rating in a report on Thursday, November 20th. Finally, Deutsche Bank Aktiengesellschaft increased their target price on NVIDIA from $180.00 to $215.00 and gave the stock a “hold” rating in a report on Thursday, November 20th. Five analysts have rated the stock with a Strong Buy rating, forty-six have assigned a Buy rating, two have issued a Hold rating and one has issued a Sell rating to the company. Based on data from MarketBeat.com, the company currently has a consensus rating of “Buy” and an average target price of $258.19.

    Get Our Latest Report on NVDA

    NVIDIA Company Profile

    (Free Report)

    NVIDIA Corporation provides graphics and compute and networking solutions in the United States, Taiwan, China, Hong Kong, and internationally. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating metaverse and 3D internet applications.

    Read More

    Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDAFree Report).

    Institutional Ownership by Quarter for NVIDIA (NASDAQ:NVDA)



    Receive News & Ratings for NVIDIA Daily – Enter your email address below to receive a concise daily summary of the latest news and analysts’ ratings for NVIDIA and related companies with MarketBeat.com’s FREE daily email newsletter.

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  • Google Is Coming for Nvidia’s Crown in the AI Race

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    Want more stock market and economic analysis from Phil Rosen directly in your inbox? Subscribe to Opening Bell Daily’s newsletter

    The market is acting like Google is coming for Nvidia.

    Alphabet’s vertical integration with its new Gemini 3 AI model and its custom AI chips has fueled enthusiasm for its standing in the AI race while spooking Nvidia shareholders, creating a widening performance gap between the two stocks. 

    Specifically, worries seem to be rising that the customers who have long relied on Nvidia chips could soon turn to Google. Indeed, The Information reported this week that Meta is in talks to use Google’s Tensor Processing Units (TPUs).

    That, in theory, redirects billions in business from Meta out of Nvidia’s pocket and into Google’s. 

    The report alone was enough to wipe out some hundreds of billion in Nvidia’s market cap on Tuesday while boosting Alphabet’s, shrinking the valuation gap between the two heavyweights to its narrowest since April.

    To be clear, Nvidia’s graphics processing units (GPUs) remain the gold standard for the AI industry. But Google’s TPUs — which power its highly praised Gemini 3 — are cheaper to develop and require less power. 

    Some industry experts estimate that TPUs offer up to four times better performance per dollar than comparable GPUs. 

    So while the technology itself may not be apples-to-apples competitive, the economics of choosing one over the other does seem to be a hit against Nvidia, in the market’s view.

    Nvidia, for its part, seemed to brush off the news entirely.

    “We’re delighted by Google’s success,” Nvidia’s communications team wrote in a statement. “They’ve made great advances in AI and we continue to supply to Google. Nvidia is a generation ahead of the industry — it’s the only platform that runs every AI model and does it everywhere computing is done.”

    Shares of Alphabet have more than doubled the returns of Nvidia so far this year, though only in recent weeks have technologists seemed to concede that Google could be winning the AI race.

    Its outperformance is underscored by its unique “full stack” advantage:

    • Google designs its own chips
    • Google trains its own AI models
    • Google has its own distribution channels

    That’s left companies like Oracle, which bought billions of dollars worth of Nvidia chips to rent out, lagging the market as it reprices to a landscape that includes Google’s more economical alternatives.

    While both companies are sure to compete for years to come, these developments confirm that the AI chip battle is no longer a monopoly.

    The final deadline for the 2026 Inc. Regionals Awards is Friday, December 12, at 11:59 p.m. PT. Apply now.

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    Phil Rosen

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  • WIRED Roundup: Gemini 3 Release, Nvidia Earnings, Epstein Files Fallout

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    Zoë Schiffer: Yeah, I think that one thing that everyone can agree on is that Nvidia is undoubtedly one of the companies that has gone all in during this AI acceleration moment. For better or worse, about 90 percent of Nvidia’s sales, which were once dominated by chips for personal gaming computers now come from its data center business, and it feels like every time one of these partnerships between OpenAI and another company, Nvidia’s in there somewhere, it just feels like it’s attached to everyone else in this industry at this point.

    Max Zeff: Yeah, it’s done a great job of infusing itself with every AI company, but also, I mean, that’s been a major concern. There’s been a lot of talk of these circular deals where Nvidia really depends on a lot of these startups that it’s also funding. It’s a customer, it’s an investor. Nvidia is so wrapped up in this. So I guess in that way, it’s not that surprising that Jensen is defending the AI bubble constantly now.

    Zoë Schiffer: Yeah. It’s also worth saying that one of the fears that people who have the fear of the AI bubble will talk about is the fact that the GPUs are the majority of the cost of building out a data center, and they need to be replaced, what, every three years? Nvidia releases new chips and they’re cutting edge, and companies need to buy them in order to compete. I think the fear is that that renewal cycle isn’t quite factored into the pricing, but as long as people continue to buy chips, what Jensen is saying is, “No, no, we’re insulated right now.”

    Max Zeff: Right. We’ll see if that’s really true though.

    Zoë Schiffer: One more story before we go to break, and to get through this one, we both have to be extra professional. I’m not sure Max, which we always are, but just a little extra. You will see what I mean. WIRED contributor Mattha Busby reported on how two young Mormons created an app to help other men break their porn addiction and gooning habits. I’m going to be real. I had never heard this term before reading this story, and I was shocked. OK, if you’re not familiar with gooning, it’s basically just another word for edging. That is long hours of masturbation without release. This app called Relay was created by 27-year-old Chandler Rogers with the mission of providing his Gen Z peers a way to stop doing this and to generally escape from the clutches of porn. I have some other ideas. I feel like go outside, talk to a human, but I don’t want to be mean, because I do feel like this could be really difficult for people.

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    Zoë Schiffer, Maxwell Zeff

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  • After Shutting His Hedge Fund, Michael Burry Launches a Substack to Speak ‘Freely’ on the A.I. Bubble

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    Michael Burry attends “The Big Short” New York screening at the Ziegfeld Theater on Nov. 23, 2015 in New York City. Astrid Stawiarz/Getty Images

    Michael Burry, the famed “Big Short” investor who predicted the 2008 housing crash, is once again warning of an emerging market bubble. Nearly two decades later, the hedge fund manager is now sounding alarms about the sky-high valuations of A.I. companies and is voicing them on a modern forum: Substack.

    Yesterday (Nov. 23), Burry launched a newsletter on the platform that will focus on his bearish views on the technology, among other topics. “The current market environment is contentious and running hot. Lots to talk about,” he wrote in the description accompanying his new Substack, which has already amassed more than 35,000 subscribers. Access costs $379 annually or $39 per month.

    One of his first posts draws parallels between the lead-up to the dot-com crash of the early 2000s and today’s A.I. boom. Burry compared Nvidia—which recently became the first company to reach $5 trillion in market cap—to Cisco, the tech company whose stock soared and then collapsed during the dot-com era.

    In an X post announcing his Substack, Burry expanded on the idea that the A.I. market may be echoing past bubbles. He cited former Federal Reserve chair Alan Greenspan, who assured investors in 2005 that a housing bubble “does not appear likely.” Burry then pointed out that Jerome Powell, the Fed’s current chair, has described A.I. companies as “profitable” and “different” from previous speculative manias.

    Michael Burry’s mixed track record

    Burry rose to prominence after spotting the warning signs of the subprime mortgage crisis—a bet that made him $100 million personally and earned more than $700 million for his clients. His prescient move was immortalized in Michael LewisThe Big Short and the subsequent film starring Christian Bale. After the global financial crisis, Warren Buffett told Congress that Burry was acting as a “Cassandra,” referring to the Trojan princess cursed to deliver true prophecies no one believed. His new newsletter pays homage to this feat through its name, “Cassandra Unchained.”

    In recent years, Burry has made several market calls that didn’t pan out, but his latest warnings about A.I. have sparked fresh attention online. The buzz began in October, when he returned to X after a two-year hiatus to post: “Sometimes, we see bubbles. Sometimes, there is something to do about it. Sometimes, the only winning move is not to play.”

    Soon after, his hedge fund, Scion Asset Management, disclosed in regulatory filings that it had a short bet worth more than $1 billion against Nvidia and Palantir, another hot A.I. stock. Burry closed his hedge fund a few days later and returned capital to investors.

    In his Substack description, Burry said Scion’s closure was partially motivated by a desire to share investment ideas more freely. “Running money professionally came with regulatory and compliance restrictions that effectively muzzled my ability to communicate,” he wrote. “These constraints meant I could only share cryptic fragments publicly, if at all.”

    Burry told readers to expect one to two posts a week, along with occasional Q&As, videos and guest contributions. Rather than placing bets, he’ll be breaking down markets.

    “I am not retired,” said Burry. “There is still nothing I enjoy more than analyzing companies and markets each and every day.”

    After Shutting His Hedge Fund, Michael Burry Launches a Substack to Speak ‘Freely’ on the A.I. Bubble

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    Alexandra Tremayne-Pengelly

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  • Centerpoint Advisors LLC Has $2.79 Million Stake in NVIDIA Corporation $NVDA

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    Centerpoint Advisors LLC lessened its stake in shares of NVIDIA Corporation (NASDAQ:NVDAFree Report) by 18.4% during the second quarter, Holdings Channel reports. The fund owned 17,670 shares of the computer hardware maker’s stock after selling 3,995 shares during the quarter. NVIDIA comprises 0.9% of Centerpoint Advisors LLC’s investment portfolio, making the stock its 17th largest position. Centerpoint Advisors LLC’s holdings in NVIDIA were worth $2,792,000 at the end of the most recent reporting period.

    Other institutional investors and hedge funds have also bought and sold shares of the company. Morton Brown Family Wealth LLC boosted its position in shares of NVIDIA by 1.5% during the 2nd quarter. Morton Brown Family Wealth LLC now owns 3,928 shares of the computer hardware maker’s stock worth $621,000 after purchasing an additional 58 shares in the last quarter. Roof Eidam Maycock Peralta LLC raised its stake in NVIDIA by 0.3% during the 2nd quarter. Roof Eidam Maycock Peralta LLC now owns 20,903 shares of the computer hardware maker’s stock worth $3,302,000 after buying an additional 58 shares during the period. Alpha Wealth Funds LLC boosted its holdings in NVIDIA by 1.3% in the second quarter. Alpha Wealth Funds LLC now owns 4,634 shares of the computer hardware maker’s stock worth $732,000 after acquiring an additional 59 shares in the last quarter. Copia Wealth Management grew its stake in NVIDIA by 14.7% in the second quarter. Copia Wealth Management now owns 468 shares of the computer hardware maker’s stock valued at $74,000 after acquiring an additional 60 shares during the period. Finally, BKM Wealth Management LLC increased its holdings in shares of NVIDIA by 1.1% during the second quarter. BKM Wealth Management LLC now owns 5,745 shares of the computer hardware maker’s stock valued at $908,000 after acquiring an additional 60 shares in the last quarter. 65.27% of the stock is owned by institutional investors.

    Analyst Ratings Changes

    A number of equities analysts recently issued reports on the company. Hsbc Global Res upgraded NVIDIA from a “hold” rating to a “strong-buy” rating in a report on Wednesday, October 15th. DA Davidson reaffirmed a “buy” rating and issued a $250.00 price objective on shares of NVIDIA in a research note on Thursday. Susquehanna lifted their price objective on shares of NVIDIA from $230.00 to $250.00 and gave the company a “positive” rating in a report on Thursday. Rosenblatt Securities boosted their target price on shares of NVIDIA from $240.00 to $245.00 and gave the stock a “buy” rating in a research report on Thursday. Finally, Barclays raised their price target on shares of NVIDIA from $240.00 to $275.00 and gave the company an “overweight” rating in a research report on Thursday. Four equities research analysts have rated the stock with a Strong Buy rating, forty-six have given a Buy rating, two have assigned a Hold rating and one has issued a Sell rating to the company. Based on data from MarketBeat.com, NVIDIA currently has a consensus rating of “Buy” and a consensus price target of $257.79.

    Get Our Latest Research Report on NVIDIA

    NVIDIA Stock Down 1.0%

    NVIDIA stock opened at $178.88 on Monday. NVIDIA Corporation has a fifty-two week low of $86.62 and a fifty-two week high of $212.19. The company has a debt-to-equity ratio of 0.08, a quick ratio of 3.60 and a current ratio of 4.21. The firm’s 50-day simple moving average is $186.46 and its 200 day simple moving average is $168.77. The stock has a market cap of $4.35 trillion, a PE ratio of 50.96, a price-to-earnings-growth ratio of 1.49 and a beta of 2.11.

    NVIDIA (NASDAQ:NVDAGet Free Report) last posted its quarterly earnings data on Wednesday, November 19th. The computer hardware maker reported $1.30 EPS for the quarter, beating the consensus estimate of $1.23 by $0.07. NVIDIA had a net margin of 52.41% and a return on equity of 101.74%. The firm had revenue of $57.01 billion during the quarter, compared to analyst estimates of $54.66 billion. During the same quarter last year, the business posted $0.81 EPS. The company’s revenue for the quarter was up 62.5% on a year-over-year basis. NVIDIA has set its Q4 2026 guidance at EPS. Research analysts predict that NVIDIA Corporation will post 2.77 EPS for the current fiscal year.

    NVIDIA Dividend Announcement

    The firm also recently declared a quarterly dividend, which will be paid on Friday, December 26th. Investors of record on Thursday, December 4th will be issued a dividend of $0.01 per share. This represents a $0.04 dividend on an annualized basis and a yield of 0.0%. The ex-dividend date is Thursday, December 4th. NVIDIA’s dividend payout ratio (DPR) is 0.99%.

    Insiders Place Their Bets

    In related news, Director Harvey C. Jones sold 250,000 shares of the business’s stock in a transaction dated Thursday, September 18th. The shares were sold at an average price of $176.21, for a total value of $44,052,500.00. Following the transaction, the director directly owned 7,183,280 shares of the company’s stock, valued at approximately $1,265,765,768.80. The trade was a 3.36% decrease in their position. The sale was disclosed in a filing with the Securities & Exchange Commission, which can be accessed through this hyperlink. Also, CEO Jen Hsun Huang sold 75,000 shares of the stock in a transaction dated Wednesday, September 10th. The shares were sold at an average price of $177.57, for a total transaction of $13,317,750.00. Following the transaction, the chief executive officer owned 72,248,366 shares of the company’s stock, valued at approximately $12,829,142,350.62. The trade was a 0.10% decrease in their position. The SEC filing for this sale provides additional information. Over the last quarter, insiders have sold 3,251,577 shares of company stock valued at $583,143,187. Insiders own 4.17% of the company’s stock.

    About NVIDIA

    (Free Report)

    NVIDIA Corporation provides graphics and compute and networking solutions in the United States, Taiwan, China, Hong Kong, and internationally. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating metaverse and 3D internet applications.

    Further Reading

    Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDAFree Report).

    Institutional Ownership by Quarter for NVIDIA (NASDAQ:NVDA)



    Receive News & Ratings for NVIDIA Daily – Enter your email address below to receive a concise daily summary of the latest news and analysts’ ratings for NVIDIA and related companies with MarketBeat.com’s FREE daily email newsletter.

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    ABMN Staff

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  • Black Friday Puts Focus on Consumer Spending for Rocky Markets

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    With U.S. stocks in the midst of a grim month, investors will look in the coming week for signs of strength in the U.S. consumer with Black Friday putting the spotlight on the holiday shopping season.

    The rally in stocks has stalled in November, with the benchmark S&P 500 declining more than 4 percent so far during the month. Strong quarterly results from semiconductor giant Nvidia Corp failed on Thursday to calm markets, which have been rattled by concerns about elevated valuations and questions about returns on massive corporate investments in artificial intelligence infrastructure.

    Consumer spending, which accounts for more than two-thirds of U.S. economic activity, will now come under Wall Street’s microscope.

    The trading week will be interrupted by the Thanksgiving holiday on Thursday, followed by Black Friday, known for ushering in discounts, then Cyber Monday and holiday shopping promotions heading into year end.

    Recent readings have shown a slump in consumer sentiment, while other data has been missing due to the government shutdown. This could make any signals about holiday spending more significant than usual.

    “From a sentiment standpoint, the early reads we get on Black Friday and Cyber Monday, due to the lack of data we have, will be important,” said Chris Fasciano, chief market strategist at Commonwealth Financial Network.

    “The entirety of the holiday shopping period will be an important read for where we are with the consumer and what that means for the economy.”

    While the S&P 500 remains up 11 percent year-to-date, it has declined just over 5 percent from its late October all-time high. The Cboe Volatility index on Thursday posted its highest closing level since April.

    Stock market performance could factor into how consumers spend over the holidays, particularly those with higher incomes who are more invested in equities. Despite the recent wobble, the S&P 500 has soared over 80 percent since its latest bull market began just over three years ago.

    “If you get a pullback there, a lot of the wealth in the upper income is in the stock market … so it will be interesting to see if they spend like they have in the past,” said Doug Beath, global equity strategist at the Wells Fargo Investment Institute.

    This month, the National Retail Federation said it expected U.S. holiday sales to surpass $1 trillion for the first time. Still, that November-December forecast equated to growth of between 3.7 percent and 4.2 percent from the year-earlier period, slower than the 4.3 percent growth in 2024.

    Household balance sheets are “in a very strong place,” yet slowing employment growth could pressure holiday spending, said Michael Pearce, deputy chief U.S. economist at Oxford Economics.

    “The most important factor for consumer spending is the health of the labor market,” Pearce said.

    Data from the delayed monthly employment report released on Thursday showed U.S. job growth accelerated in September. But the unemployment rate increased to a four-year high of 4.4 percent.

    Persistently firm inflation, with import tariffs contributing to higher prices, also could weigh on spending, Pearce said.

    Holiday shopping is critical for retailers. Walmart on Thursday raised its annual forecasts in a signal of confidence heading into year end. Reports from other retailers during the week were mixed.

    Another read on the consumer will come with Tuesday’s release of U.S. retail sales for September. That report has been delayed along with other government releases because of the 43-day federal shutdown that ended earlier this month.

    The influx of pent-up data in the coming weeks could further ramp up volatility for investors as they assess the economy’s health and prospects that the Federal Reserve will cut interest rates at its December 9-10 meeting.

    Following the September jobs report, which will be the last monthly employment release before the next Fed meeting, Fed funds futures late on Thursday reflected a 67 percent chance the central bank would hold rates steady in December after quarter-point cuts in each of the prior two meetings.

    Morgan Stanley economists said on Thursday they no longer expected the Fed to ease in December but they project three cuts in 2026.

    “The policy rate path remains highly data-dependent,” the Morgan Stanley economists said in a note. “In our view, a mixed report means the committee will want to see more data before taking another step.”

    Reporting by Lewis Krauskopf; Editing by Alden Bentley and David Gregorio

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  • Nvidia CEO says the company is in a no-win situation amid AI-bubble chatter, leaked meeting reveals | Fortune

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    Nvidia CEO Jensen Huang told employees this week that the company has been pushed into a no-win situation by mounting fears of an AI bubble, even as it continues to post blockbuster results, according to audio of an internal all-hands meeting reviewed by Business Insider.

    “The market did not appreciate our incredible quarter,” Huang said on Thursday, less than 24 hours after Nvidia reported another set of record earnings and said it had “visibility” into half a trillion dollars of revenue lined up for the rest of 2025 and 2026.

    Instead of rewarding the beat, investors delivered a shocking reversal that saw shares briefly rising Thursday before turning lower, dragging down the broader AI trade by the end of the session.

    Huang said expectations around Nvidia have become so extreme that Wall Street now sees danger in both directions.

    “If we delivered a bad quarter, it is evidence there’s an AI bubble. If we delivered a great quarter, we are fueling the AI bubble,” he told employees. “If we were off by just a hair, if it looked even a little bit creaky, the whole world would’ve fallen apart.”

    The comments offer a rare glimpse into how the face of the AI boom views the growing backlash to it, and how closely he is watching the market’s whiplash response.

    A blowout quarter that spooked investors

    On paper, Nvidia gave investors about everything they had asked for. The chipmaker reported another surge in sales of its data-center processors, the workhorses that power large AI models (and Nvidia’s revenues), and raised its guidance for the current quarter. It was the kind of performance expected to kick off another six-month rally, investors were saying

    Instead, the stock’s initial jump gave way to a broad selloff. Nvidia climbed as much as 5% early in Thursday’s session before closing down roughly 3%, as traders rotated out of the Big Tech names most closely associated with the AI boom. 

    The reversal extended what has become a bruising stretch for the so-called AI trade. After months of a breathless rally, investors are increasingly anxious that tech giants are spending too aggressively on data centers, GPUs, and networking gear, with no guarantee they can earn enough revenue to get those investments back. Some are also focusing on the complex, debt-heavy financing structures behind the AI infrastructure build-out, with credit markets starting to flash early warning signs.

    Layered on top of that are fresh macro jitters. A shutdown-delayed U.S. jobs report, released the same morning, showed stronger-than-expected hiring in September, but a higher unemployment rate; this conflicting data did little to clarify whether the Federal Reserve will cut interest rates in December.

    Some investors are closely watching different statements from Fed presidents to try to read the tea leaves, but with the earnings season winding down and no obvious catalyst between now and the Fed’s next decision, it appears that many other investors are using the volatility to lock in profits from the year’s earlier rally—and get out of the market.

    “The broader narrative hasn’t broken; it’s simply being tested right now,” Mark Hackett at Nationwide told Bloomberg. “Periods like this often act as a release valve rather than signaling a true trend reversal.” 

    ‘We’re basically holding the planet together

    Inside Nvidia, Huang suggested no one should be surprised that investors are jumpy when so much of the AI story is being projected onto a single company.

    He referenced online memes that jokingly describe Nvidia as the linchpin of the global economy and the only thing standing between the U.S. and recession.

    “Have you guys seen some of them?” he asked employees. “We’re basically holding the planet together—and it’s not untrue.”

    That level of mythos has helped propel Nvidia’s market value into the stratosphere, making it the world’s most valuable public company. But Huang made clear that it has also turned every earnings day into a high-wire act.

    “The expectations are so high that if we miss by just a little bit, people think the whole story is broken,” he said.

    Still, Huang pushed back on the idea that Nvidia is responsible for the frothier parts of the AI trade. The company’s job, he emphasized, is to build the compute infrastructure others need, not to police how the market prices demand.

    Joking about losing $500 billion

    Amid the pressure, Huang kept the meeting light with whistling-past-the-graveyard-esque humor about Nvidia’s wild swings.

    He joked about the “good old days” when the company had a $5 trillion market capitalization, a playful exaggeration of its actual peak valuation—before noting just how much value has evaporated in recent weeks.

    “Nobody in history has ever lost $500 billion in a few weeks,” he said. “You’ve got to be worth a lot to lose $500 billion in a few weeks.”

    Huang told employees he was “delighted” by the quarter and proud of their work, stressing the company’s underlying business remains strong even if markets are punishing them for it.

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  • Inside the AI Bubble

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    Photo: Intelligencer; Photo: Getty Images

    On Wednesday evening, Nvidia, the chip firm at the center of the world, reported its quarterly earnings. It was by any measure a blowout for the world’s largest company: the company made 65 percent more profits than in the same quarter last year, sales were even higher than analysts expected, and leadership is forecasting at least $500 billion in AI chip sales by the end of 2026. Permanently pumped CEO Jensen Huang bragged that the company was “sold out” before going oracular: “We’ve entered the virtuous cycle of AI. The AI ecosystem is scaling fast — with more new foundation model makers, more AI startups, across more industries, and in more countries. AI is going everywhere, doing everything, all at once.”

    Things couldn’t be going much better for Nvidia, which is one of the few large companies making serious profits that are primarily and unambiguously attributable to AI. The response from investors, though, was strange. The next morning, the stock popped a few percent but remained below recent highs, and ended the day slightly down. For many analysts and industry watchers, this wasn’t a story about the greatest quarter for the greatest company of all time. It was merely a relief. The “AI trade” was still alive, and the party could continue; more broadly, the anomalous sector propping up economic indicators would, for at least another quarter, and maybe even a bunch of quarters, continue to do so. It was, above all, an assurance and occasion to talk about it. You know. The bubble.

    In late 2025, AI bubble talk isn’t just for outsiders, skeptics, and short-sellers. Increasingly, it’s the frame through which the industry’s most important figures, and biggest boosters, talk about their technology, their companies, and the industry around them. “When bubbles happen, smart people get overexcited about a kernel of truth,” OpenAI’s Sam Altman told a group of reporters in August. “Are we in a phase where investors as a whole are overexcited about AI? My opinion is yes.” Mark Zuckerberg, while suggesting there were “compelling arguments” that AI could be an “outlier,” drew parallels to bubbles past. “I do think there’s definitely a possibility, at least empirically, based on past large infrastructure buildouts and how they led to bubbles, that something like that would happen here,” he said on the ACCESS podcast in September.

    There’s some transparent positioning here, of course — both Altman and Zuckerberg were implying that their companies were unique and would be fine either way — but inside-the-bubble bubble talk has since morphed into an odd strain of conventional wisdom, a premise from which high-level conversations about AI now proceed, or at least a possibility that has to be acknowledged. Google CEO Sundar Pichai invoked the dotcom crash. “I expect AI to be the same. So I think it’s both rational and there are elements of irrationality through a moment like this,” he said this month. In the event of a major correction, he said, “I think no company is going to be immune, including us.” The CEO of Google DeepMind, Demis Hassabis, emphasized Google’s particular strength but conceded on Hard Fork that there are “some parts of the AI industry that are probably in a bubble.” Jeff Bezos has said that while AI is “real,” and “is going to change every industry,” it’s also showing signs of an “industrial bubble.”

    Against the backdrop of all this hedging and narrower speculation about markets, the remaining practitioners of wide-open AI CEO futurism — that is, tech leaders still speaking the way most of them did as recently as last year – suddenly sound like outliers. At the Saudi Investment Forum, onstage with Huang, Elon Musk confidently stated that AI, with humanoid robots, will “eliminate poverty” and “make everyone wealthy.” In the future, he added on X, the “most likely outcome is that AI and robots make everyone wealthy. In fact, far wealthier than the richest person on Earth.” For the last few years, the public has been left to interpret competitively extreme visions of the future floated by strangely cavalier tech executives, who agreed on little but the inevitability of total change: mass unemployment; luxurious post-scarcity; human obsolescence; hyper-accelerated scientific progress; and, perhaps, total annihilation. Now, markets are concerned with narrower questions, with more specific answers, and more immediate consequences: How many GPUs has Nvidia sold? How many can it make? (Or, rather, how many can Taiwan Semiconductor Manufacturing Company manufacture for it?) There are plenty of theories about how generative AI might diffuse into the economy and change the world, and as more people use it, and companies start to deploy it, a few of them are snapping into focus (buy a drink for any young programmers in your life). But after years of boosterish warnings about the extraordinary and esoteric risks posed by mysterious and profound technology — we’re creating software so powerful even we can’t control it — tech executives are instead trying to get out in front of a profound non-technological risk that may be manifesting much sooner: that if they lose even a little bit of momentum, they might end up tanking the American economy.

    If Huang’s everything, everywhere, “all at once” line was a reference to the 2022 absurdist multiverse movie, it’s a funny one: the film opens with its protagonist shuffling through a pile of papers, anxiously preparing for a financial audit (and features a villain who “got bored one day” and decided to collapse the entirety of creation into a bagel-shaped singularity). As the AI boom has sprawled into a larger and more complicated financial story, scrutiny of the businesses behind the models has become as intense as scrutiny of the models themselves. To raise money and finance data center deals, OpenAI, which is both the leading consumer AI company and one of the industry’s most aggressive and, let’s say, inventive dealmakers, has manifested some truly dizzying arrangements, many of which involve Nvidia, a circular deal innovator in its own right. Take CoreWeave, a crypto-mining company that pivoted to AI data centers in 2022. CoreWeave rents access to Nvidia chips to firms that need them for AI inference and training. OpenAI is a CoreWeave customer, but also a Coreweave investor. Nvidia is a CoreWeave vendor — it supplies the GPUs – but also an investor and, somehow, a customer. Coreweave also loses a lot of money, and its stock price has, after peaking in July, collapsed.

    Lately, the deals are getting more brazen and less convoluted. In September, Nvidia announced it would invest $100 billion in OpenAI, which OpenAI said it would use to build data centers full of Nvidia hardware. This month, alongside Microsoft — OpenAI’s biggest early investor and primary partner — Nvidia announced the companies would invest up to $15 billion in OpenAI competitor Anthropic in exchange for a $30 billion commitment from the company to buy computing capacity from Microsoft, powered, naturally, by Nvidia hardware. Altman’s moments of candor about a possible bubble have been scattered between more defensive messaging from the company, which may be losing as much as $12 billion per quarter. In a recent podcast interview, investor Brad Gerstner asked Altman, “How can a company with $13 billion in revenues make $1.4 trillion of spend commitments?” Altman shot back: “If you want to sell your shares, I’ll find you a buyer. Enough.”

    That insiders seem to agree that we could be in a massive bubble is, counterintuitively, not very useful: whether or not they mean it, and whether or not they’re right, their incentives as leaders of mega-scale startups and public tech companies are such that raising, spending, and committing as much money as possible for as long as possible is probably the rational, self-interested choice either way. Anxious, skeptical, or merely satisfied investors looking for excuses to pull back or harvest gains don’t have to look hard, and there’s evidence some are; before its earnings report, Peter Thiel’s investment firm unloaded its position in Nvidia, and Softbank cashed out of the chipmaker at around the same time. Similarly, OpenAI’s ability to send public companies’ stocks soaring by announcing massive “commitments” seems to be fading — Oracle’s recent $300 billion valuation bump, based on some shockingly optimistic guidance it offered investors in September, has since gone negative.

    But focusing on the flagrant circularity of AI financing can feed the impression that the risks are contained within Silicon Valley. The bigger problem is the ways in which they’re already not. If it exists, you might call it a load-bearing bubble. In the first half of 2025, “investment in information processing equipment and software” — a sort of informal, private stimulus package — accounted for 92 percent of GDP growth for the United States, while AI-related tech stocks account for nearly all recent growth in the S&P 500. Early funding for companies like OpenAI came from venture capitalists and incumbent tech giants, while Google and Meta pushed into AI with their own massive revenue and cash, but multi-hundred-billion-dollar commitments mean they’re getting more creative, both in how they raise money and how they distribute risk. Companies like Meta are funding data centers with “special purpose vehicles,” which may sound familiar if you were reading the financial news in 2008, and with massive corporate bond sales. As the investor Paul Kedrosky has argued, the AI boom has traits, at least, of every major financial bubble in modern history: a narrative-driven tech bubble, a credit bubble, a real estate bubble, and an infrastructure bubble. To tie it all together, you’ve got OpenAI’s CFO floating, then frantically backtracking on, the idea of a government backstop for financing AI expansion, almost instantly elevating the prospect of an AI bailout into fodder for conservative and progressive lawmakers.

    Huang has two typical responses to all this. One speaks for itself: look at all those GPUs we’re selling. The other is more direct. “There’s been a lot of talk about an AI bubble. From our vantage point,” he said after earnings, “we see something very different.” In other words: No it’s not. The “virtuous cycle” is just beginning, and the accelerating potential of the most versatile technology the world has ever seen will one day expose complaints about incremental model updates and hand-wringing about data center deals as short-sighted and insignificant. Huang is still able to speak with authority and tell a story that, for investors, still has juice.

    For everyone else, though, neither side of this wildly polarized, high-stakes bet sounds ideal. If this really is a bubble, and it deflates even a little, it could send the American economy into a serious slump, with consequences for almost everyone, getting rid of plenty of jobs the old-fashioned way. If it doesn’t — and Huang’s sanitized visions of mass automation rapidly start to spread across the economy, justifying all that CapEx, and all those strange deals, and then some — well, aren’t we getting laid off anyway?

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    John Herrman

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  • Nvidia by the numbers: $5 trillion market cap and soaring stock – MoneySense

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    Nvidia carved out an early lead in tailoring its chipsets known as graphics processing units, or GPUs, from use in powering video games to helping to train powerful AI systems, like the technology behind ChatGPT and image generators. Demand skyrocketed as more people began using AI chatbots. Tech companies scrambled for more chips to build and run them.

    Nvidia’s journey to be one of the world’s most prominent companies has produced some extraordinary numbers. Here’s a look.

    $31.9 billion
    Nvidia’s net income for the third quarter, up from $19.3 billion a year ago.

    38.9%
    Nvidia stock’s gain for the year, as of the close of trading Wednesday. That follows gains of 171% in 2024 and 239% in 2023.

    $4.53 trillion
    Nvidia’s total market capitalization as of the close of trading Wednesday, tops in the S&P 500. Apple at $3.98 trillion and Microsoft at $3.62 trillion were next among the most valuable companies in the S&P 500. In all, nine companies in the index have market cap’s above $1 trillion.

    $4.28 trillion
    The gross domestic product of Japan, the world’s fourth largest economy, according to the International Monetary Fund.

    79
    The number of trading days it took for Nvidia’s market cap to grow from $4 trillion to $5 trillion earlier this year. The market cap had jumped from $3 trillion on May 13, to $4 trillion on July 9 (41 trading days), although Nvidia had crossed and fallen back below the $3 trillion threshold a number of times between June 2024 and May 2025 before making the run to $4 trillion.

    19.8%
    The company’s contribution to the gain in the S&:P 500 this year as of Oct. 31, according to S&P Dow Jones Indices.

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    $162 billion
    The net worth of Nvidia CEO Jensen Huang, according to Forbes, putting him eighth on its Real-Time Billionaires List. Elon Musk is No. 1 at $467.7 billion.

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  • Is the AI boom a ‘bubble’? Tech leaders don’t think so – MoneySense

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    “There was a lag,” said Deierling, speaking in Toronto on Wednesday alongside other tech sector executives on the sidelines of the Cisco Connect conference. “All of a sudden I have all this bandwidth for the internet and the dot-com era, but now I actually need Amazon and Uber and Netflix and all of these other businesses.”

    AI tech is ready, no wait required

    While those use cases did develop over time, Deierling said AI doesn’t have to wait decades. He said applications for software built on AI technology “already exist” and companies can take advantage of them right away.

    “In the dot-com era, by the late 1990s, early 2000s, you started to see inventory build up … and people were shipping things that actually weren’t selling through. We don’t see that at all,” he said in an interview. “This stuff gets used as soon as it gets built.”

    The hopeful outlook came just hours before the company reported its latest quarterly earnings Wednesday, potentially easing some analysts’ recent jitters. The company posted net income of US$31.9 billion for the third quarter, up from US$19.3 billion a year ago, while revenue rose 62%. Nvidia’s sales of the computing chipsets known as graphics processing units—which are used to help train powerful AI systems like the technology behind ChatGPT and image generators—surged beyond analysts’ expectations.

    Nvidia, Wall Street’s largest stock which briefly topped US$5 trillion in value, has struggled this month, losing more than 10% on the S&P 500 as of Tuesday. As of late-morning Thursday, the stock was trading roughly 6% higher. Analysts have been closely watching the stock for potential indications of how the AI sector might continue to perform because other companies rely on Nvidia’s chips to ramp up their own AI efforts.

    The best online brokers, ranked and compared

    AI demand strong despite profit concerns

    While stocks linked to AI have been surging for years, there have been mounting concerns that the outsized level of spending in the industry may not lead to as much profit as hoped. Other leaders in the sector also downplayed those worries at Wednesday’s conference. Francois Chadwick, chief financial officer for Toronto tech firm Cohere, likened demand for AI to a “constant drumbeat.”

    “There is a real need,” said Chadwick in an interview, adding that in the early days of the internet, some tech companies were “building things that no one really even needed or wanted. Right now, there’s the demand, there is the need. Companies, enterprises, governments—everyone’s asking for this.”

    That doesn’t mean all investment in AI is going to bear fruit, cautioned Tom Gillis, senior vice-president and general manager of infrastructure and security at Cisco. He said that with disruption of this scale, there “has to be winners and losers. Someone is going to be making a bet and doing something that turns out to be wrong,” said Gillis.

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    “But do I think there’s going to be some sort of retraction and like, ‘Oh, it turns out AI isn’t that useful?’ Just hop on to your chat interface and then you tell me … It’s really, really, really valuable and so I think it justifies a significant amount of capital to drive that change.”

    Canada strong in research, slow in deployment

    A study released last month found just 8% of Canadian organizations qualify as “AI-ready.” The CiscoAI Readiness Index said nearly three-quarters of those surveyed in Canada plan to deploy AI agents and 34% expect them to work alongside employees within a year, but few have the secure infrastructure to sustain it. Those that are fully prepared are 50% more likely to see measurable value.

    Deierling described Canada as “ahead on research and behind on deployment” when it comes to AI usage. “And I don’t understand why,” he said. “I mean, you have the core capacity, the people that understand this. You have all kinds of businesses that should benefit from this, and so I think it’s just a matter of will.”

    But Deierling acknowledged that many companies remain fearful of AI. He said the key is to start out small, often focusing on internal use cases, rather than “risk your entire business on some AI that you may not understand how to implement.”

    “Every company is ready to use AI, they just don’t know it,” he said. “The risk isn’t that high. Deploy something and start using it and what you’ll find is that there’s so much productivity gains that the demand will just completely drive the next generation.”

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    The Canadian Press is Canada’s trusted news source and leader in providing real-time stories. We give Canadians an authentic, unbiased source, driven by truth, accuracy and timeliness.

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  • Nvidia: Multi-agentic AI workflows will be in focus for financial services in 2026

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    Nvidia is seeing continued adoption of agentic AI and expects multi-agentic AI workflows to be deployed at a vast scale in 2026.  “For 2026, we are seeing a real migration from the use of agentic AI, from kind of single agent tasks to orchestrated multi-agent activities,” Kevin Levitt, global business development lead for financial services […]

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  • Four Indicted In Alleged Conspiracy to Smuggle Supercomputers and Nvidia Chips to China

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    Stern said text messages obtained by authorities show Li boasting about how his father “had engaged in similar business on behalf of the Chinese Communist Party.” Stern alleged the messages also show Li, who works at a hardware distribution company, was aware through news articles he shared that the Nvidia chips were subject to export controls. “He explained that his father had ways to import them,” Stern said, again citing Li’s text messages.

    Stern told the court that Li “did admit to various facts” during questioning by federal agents on Wednesday that implicated him.

    The defendants face various charges related to violating export control laws and up to 20 years in prison.

    Ho and Raymond did not immediately respond to requests for comment sent to LinkedIn accounts purportedly belonging to them. Public defenders for Chen and Li declined to comment.

    Nvidia spokesperson John Rizzo said in a statement that “even small sales of older generation products on the secondary market are subject to strict scrutiny and review” and that “trying to cobble together datacenters from smuggled products is a nonstarter, both technically and economically.”

    Corvex, an AI cloud computing business Raymond consulted for, said in a statement that it had rescinded a job offer for him to join the company full-time and that it had no connection to the alleged wrongdoing.

    Earlier this year, the US Department of Commerce was reportedly considering restricting the sale of advanced chips to Malaysia and Thailand in an effort to curb chip smuggling, but the regulations have yet to be finalized. The Commerce Department did not immediately respond to a request for comment.

    Magistrate Judge Westmore ordered Li to hire an attorney because she said he had significant equity in a San Leandro, California, home and other assets, making him ineligible for a public defender. The magistrate also set a hearing for Tuesday to decide whether Li is a significant flight risk and should continue to be detained. He holds a US green card and Hong Kong citizenship.

    Li, wearing glasses, flipflops, and a black windbreaker, nodded in response to some of Westmore’s statements but did not speak. Kaitlyn Fryzek, his temporary public defender, said Li is planning to marry a US citizen. “His incentive is to stay and get married to his fiancée,” Fryzek said.

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  • Nvidia Just Revived the AI Trade

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    Nvidia is single-handedly keeping the AI trade alive with another quarter of absurd strength.

    The chipmaker once again beat Wall Street’s earnings estimates, reporting earnings per share of $1.30 on record revenue of $57 billion. 

    The stock surged in overnight trading as did other technology names, as if the results gave the rest of the market permission to move on from the recent sell off. 

    “Blackwell sales are off the charts, and cloud GPUs are sold out,” CEO Jensen Huang said in a statement. 

    “Compute demand keeps accelerating and compounding across training and inference — each growing exponentially. We’ve entered the virtuous cycle of AI. The AI ecosystem is scaling fast — with more new foundation model makers, more AI startups, across more industries, and in more countries. AI is going everywhere, doing everything, all at once.”

    Data center sales hit $51.2 billion in the quarter, surpassing analysts’ forecasts for $49.09 billion and marking a 66 percent increase compared to a year ago.  

    Meanwhile, the company announced it paid out $243 million in dividends in the quarter.

    “There has been a lot of talk about an AI bubble,” Huang said on the earnings call. “We see something different.”

    “Fears of an AI Bubble are way overstated in our view,” said Wedbush’s Dan Ives. “This is another validation point for the AI Revolution…this will be a foundational bullish data point for hyperscale names Microsoft, Google, Amazon, Oracle and software plays such as Palantir and Oracle.”

    Now, while Nvidia’s total revenue was record-breaking, its revenue growth from a year ago slowed once again. 

    Understandably, the trajectories of both have diverged for several quarters given the sheer size of the company. Including the latest earnings release and guidance, Nvidia expects to pull in roughly $208 billion for the full fiscal year. 

    That would mark a 59 percent increase from a year ago — still impressive but a sharp decline from the previous growth rate of 114 percent. 

    While those figures satisfy Wall Street today, a slowing growth rate — no matter the total revenue amount — could eventually turn investors against the stock, regardless of how strong the demand story remains.

    “All Nvidia has done is crush,” Douglas Boneparth, president of Bone Fide Wealth, told me on my show Full Signal ahead of the earnings results. “What if it gets to a point where they just don’t crush as much?”

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    Phil Rosen

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  • Nvidia CEO Dismisses Concerns of an AI Bubble. Investors Remain Skeptical

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    Nvidia CEO Jensen Huang didn’t need any prompting on Wednesday to address the elephant in the room. “There’s been a lot of talk about an AI bubble,” he said on an earnings call before quickly getting to his main point: “From our vantage point, we see something very different.”

    Huang went on to spend about five minutes trying to explain how the chipmaker, which has soared to become the world’s most valuable publicly traded company over the past three years, would be able to sustain unprecedented customer demand. His thesis is that AI is taking over the world, and Nvidia chips will be sorely needed to power that technological revolution underway. “All industries, across every phase of AI, across all of the diverse computing needs in a cloud, and also from cloud to enterprise to robots,” will need Nvidia’s products, Huang said.

    The CEO’s pep talk ultimately drew mixed reactions from Wall Street. Nvidia shares have fallen about 10 percent in recent weeks after hitting an all-time high in late October. Shares budged up about 5 percent in after hours trading on Wednesday after Nvidia reported record quarterly sales and Huang made his anti-bubble comments. But the increase was not enough to fully make up for the recent selloff.

    Nvidia has enjoyed three years of booming success since OpenAI debuted ChatGPT and caused a massive surge in demand for the company’s GPUs, which are used to train and operate generative AI systems. Nvidia dominates the global market for GPUs, and its latest releases have become highly sought after with demand far exceeding supply. On Wednesday, Nvidia executives reiterated that it has about $500 billion in unfilled orders.

    The company has used its newfound wealth to buy back its own shares and invest billions of dollars in AI companies, including top users and customers of its chips such as ChatGPT developer OpenAI, data center operator CoreWeave, and Elon Musk’s xAI, which develops the chatbot Grok.

    Nvidia’s deals have fueled concerns among some investors that the company is unsustainably propping up sales. AI industry executives contend that partnering closely with Nvidia is crucial for getting access to chips and technical support, and that their revenues will eventually increase enough to fund their GPU purchases.

    On Wednesday’s call, Huang addressed a financial analyst’s question about the rationale for investing in companies such as OpenAI. “The partnership that we have with them is one so that we could work even deeper from a technical perspective, so that we could support their accelerated growth,” Huang said. “I fully expect that investment to translate to extraordinary returns.”

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    Paresh Dave

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  • Does Jensen Huang See a Bubble? No. He Sees ‘Something Very Different’

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    Investors losing sleep over Nvidia’s earnings can resume breathing normally. All the news from CEO Jensen Huang was reassuring for stakeholders in the world’s largest publicly traded company.

    “There’s been a lot of talk about an AI bubble. From our vantage point, we see something very different,” Huang said on the company’s investor call.

    That “something very different” seems to be tons and tons of money pouring in. The company posted a record $57.01 billion in revenue during its fiscal third quarter. That was well above market expectations of $54.92 billion, as reported by CNBC. Earnings per share also beat expectations at $1.30 versus $1.25.

    Nvidia’s bread and butter, the data center business, also brought in record revenue at $51.2 billion, which was up 66% from this time last year.

    The tech giant is expecting that record demand to continue, as Huang said in the earnings press release that “Blackwell sales are off the charts, and cloud GPUs are sold out.” Revenue expectations for the upcoming quarter were $65 billion, above market expectations of $61.66 billion.

    “We currently have visibility to a half a trillion dollars in Blackwell and Rubin [chips] revenue from the start of this year through the end of calendar year 2026,” Nvidia CFO Colette Kress said in the company’s investor call on Wednesday.

    The AI industry had been biting its nails in anticipation of this specific report for some time now.

    As Nvidia was busy hitting records over the quarter as the first company to ever hit $5 trillion market cap, worries over an AI bubble ballooned steadily. At the heart of every concern was Nvidia, which is considered central to the AI trade as the biggest global supplier of chips.

    A growing chorus of experts, from famous investors to economists, central banks and even top tech CEOs themselves, have raised concerns about an overvaluation of AI stocks in recent months.

    Then, on top of all that, two major investors, Japan’s SoftBank and Peter Thiel’s hedge fund Thiel Macro, offloaded their entire stake in the company back-to-back over the past two weeks.

    Investors were looking to Wednesday’s report to see if Nvidia could back up its meteoric valuations and quell those worries of an impending bubble burst. The shares rose more than 5% in response to the report, so it seems they might be satisfied so far with what they have seen.

    Nvidia has had a whirlwind quarter. The tech giant announced a flurry of high profile partnerships, including its first ever with OpenAI competitor Anthropic.

    The partnerships added fuel to the AI bubble fire, as experts opined that this infinitely expanding and tangled web of multibillion dollar investments made amongst a handful of giant tech companies with overlapping interests was “circular dealmaking.”

    The SEC filing had potentially interesting revelations about one of these partnerships. Though the company characterizes its commitment to invest up to $10 billion in Anthropic as a clear “agreement,” the tech giant’s whopping $100 billion investment into OpenAI is characterized as “a letter of intent with an opportunity to invest.” The first to point that out was journalist Ed Zitron on X. Nvidia hasn’t yet responded to a Gizmodo request for comment.

    Also this past quarter, the company hosted its first GPU Technology Conference in Washington D.C. as CEO Jensen Huang continued cozying up to the Trump administration in hopes of a desirable resolution to the on-again-off-again China chips sales ban saga.

    “Sizable purchase orders never materialized” this past quarter due to that political uncertainty, Kress said.

    “While we were disappointed in the current state that prevents us from shipping more competitive data center compute products to China, we are committed to continued engagement with the U.S. and China governments,” she added.

    But Huang’s efforts may be bearing some fruit. Axios reported earlier on Wednesday that White House officials were asking lawmakers to dump the GAIN AI Act that would heavily restrict Nvidia’s ability to sell chips to China if it passes as part of the upcoming annual defense bill.

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    Ece Yildirim

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  • Nvidia reports strong quarterly earnings, topping analyst expectations

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    Nvidia’s third-quarter financial results on Wednesday surpassed analyst expectations, signaling that demand for its artificial intelligence chips remains robust amid investor concerns about an AI bubble

    The chipmaker reported earnings of $31.9 billion on record revenue of $57 billion for the third quarter. Revenue for the period surged 22% from the previous quarter and 62% from a year ago. Its earnings per share were $1.30. The Santa Clara, Calif., company had been expected to earn $1.26 per share on revenue of $54.9 billion for the quarter, according to analysts polled by FactSet. 

    “Blackwell sales are off the charts, and cloud GPUs are sold out,” Nvidia CEO Jensen Huang said in a statement on Wednesday, referring to the company’s proprietary superchips that power large language models. 

    “Compute demand keeps accelerating and compounding across training and inference — each growing exponentially. We’ve entered the virtuous cycle of AI. The AI ecosystem is scaling fast — with more new foundation model makers, more AI startups, across more industries, and in more countries. AI is going everywhere, doing everything, all at once,” Huang added.

    Nvidia forecast revenue of $65 billion for the fourth quarter.  The company’s shares, which have jumped 39% this year, rose nearly 4% in after-hours trading to $193.80.

    In October, the chipmaker became the first publicly listed company worth $5 trillion, with its shares buoyed by Wall Street expectations of surging demand. 

    But in recent weeks, some investors have expressed caution about the hype surrounding AI and whether the soaring market value of companies linked to the technology is warranted. Despite the promise of AI, most companies that are implementing AI have yet to see a measurable increase in productivity or profits, according to Wall Street analysts. 

    The company’s results were driven by demand for Nvidia’s Blackwell graphics processing unit chips, which could help convince investors “that this AI spending trend is an unparalleled moment in modern tech history and is not a bubble moment,” Wedbush Securities analyst Dan Ives said. 

    The construction of data centers across the U.S. has boosted demand for Nvidia’s chips. Data center investment, which includes spending on AI research and development, has become the largest contributor to U.S. growth this year, according to S&P Global

    The S&P 500’s 15% gain this year has been driven largely by big tech companies with AI investments. The combined market capitalization of the so-called “Magnificent 7” — Google-owner Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla — accounts for 37% of the index’s total value, according to Morningstar. 

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  • Elon Musk Claims Money Won’t Exist in the Future (and Jensen Huang Would Like a Heads Up)

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    Elon Musk made some wild claims at the US-Saudi Investment Forum at the Kennedy Center in Washington, D.C. on Wednesday, insisting that his Optimus robot would fix poverty, people wouldn’t have to work in the future, and money would eventually become irrelevant. Jensen Huang, the CEO of Nvidia, was also on stage and joked that he’d like Musk to give him a heads up just before currency no longer becomes a thing.

    “AI and humanoid robots will actually eliminate poverty,” Musk claimed on Wednesday. “And Tesla won’t be the only one that makes them. I think Tesla will pioneer this, but there will be many other companies that make humanoid robots. But there is only basically one way to make everyone wealthy, and that is AI and robotics.”

    The Tesla CEO has frequently insisted in recent months that his robots will deliver a kind of post-scarcity future where nobody has to work. The billionaire said it explicitly on Wednesday when asked about what he thinks the future holds for those who are concerned about AI and robots replacing jobs.

    “My prediction is that work will be optional,” Musk said, noting that he was talking about 10-20 years from now.

    The billionaire went on to take his now-common prediction even further, claiming that in such a world where robots are doing all the labor, money won’t exist anymore.

    “I’d always recommend people read Iain Banks’ Culture books to get a sense for what a probable positive AI future is like. And interestingly, in those books, money is no longer… doesn’t exist. It’s kind of interesting,” Musk said.

    “My guess is, if you go out long enough, assuming there’s a continued improvement in AI and robotics, which seems likely, the money will stop being relevant at some point in the future,” Musk continued.

    The moderator of the discussion asked, “Jensen, any thoughts?” as the crowd laughed. “By the way, the Nvidia earnings call is later today,” Musk said, joining the laughter.

    Huang shifted uncomfortably in his seat and laughed to himself with a kind of bewildered look. “And by the way, since currency is irrelevant…” Huang joked, trailing off. “Elon just wants to share with you breaking news.”

    After a good laugh, Huang got serious again and sort of hedged on what Musk was saying. Huang has previously taken the opposite view of the crowd that insists there won’t be any work in the future. Back in August, Huang said that AI and automation will actually make everyone busier. Huang acknowledged that things would be different, including things like how students learn and how people do their work. But he stuck to his guns in predicting that people will actually just be busier because they can accomplish more of their goals.

    “It is my guess that Elon will be busier as a result of AI. I’m gonna be busier as a result of AI,” said Huang. “And the reason for that is because we have so many ideas we wanna pursue, so many things that we still have in our backlog inside our company that we can go pursue. If we were more productive, we can get to those things faster, and so in the near term, I would say that there’s every evidence that we will be more productive and yet still be busier because we have so many ideas.”

    Huang then joked that since he texts with Musk often, he hopes the Tesla CEO will give him a heads up before currency is no longer relevant. Musk said, “You’ll see it coming.”

    Musk is constantly talking about how the robots he’s developing at Tesla, known as Optimus, are the key to eliminating poverty. But, as we’ve written before, this is probably his most ridiculous lie. Improving efficiency doesn’t redistribute wealth. Musk never addresses who will be paying Americans to just sit around and do nothing while billions of robots actually perform the labor. Is it the government? Because that would require a massive change in political and economic structures.

    And why should we believe Musk, of all people, wants to pay people for sitting around? This is the man who stormed into the federal government earlier this year with his so-called Department of Government Efficiency (DOGE) and decided that too many people were taking advantage of government benefits. He’s also the guy who has called the word homeless a “propaganda word” for “violent drug addicts.”

    Musk frequently tries to suggest that people experiencing homelessness don’t have jobs, even though somewhere between 40 and 60% of people who don’t have housing are employed, according to government estimates. He does not give a fuck about poverty. He cares about making more money and is on track to become the world’s first trillionaire. And he never talks about the mechanism by which his utopian idea for a leisure society would actually work.

    The ideas Musk promotes were extremely common in 20th-century futurism. And it’s clear that’s where he’s drawing his inspiration, even citing Iain Banks and his utopian Culture series of books on Wednesday. But none of it makes sense unless you establish some kind of radical socialist or communist entity at the heart of this vision to distribute the necessities to live.

    Musk wants to sell you his robots, and that makes sense in our current economic system. But after he sells you a robot, it doesn’t follow that the person who owns that robot would no longer have to work. It’s a bit like imagining that all of the appliances in your home right now are somehow paying for themselves. They’re not. They may improve your life, but they don’t institute a political or economic system whereby people no longer have to work. If all wealth is derived from robots in this imaginary system Musk creates, he would have to be the one redistributing his wealth to pay for everyone else not working.

    The end of the discussion with Musk and Huang was a good reminder of where we’re actually situated here in 2025. The Saudi moderator said “my boss and your bosses is going to talk next,” referring to Saudi Arabia’s Crown Prince Mohammed bin Salman (MBS) and President Donald Trump. The two tech executives didn’t vocally object to Donald Trump being called their “boss.” But it stripped away the fantasy Musk seemed to be engaged in about robotics and AI delivering utopia anytime soon.

    Trump and MBS have no plans to let people sit around and get paid for doing nothing. And they’re building a future where that could never conceivably happen.

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    Matt Novak

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  • The 4 Things You Need for a Tech Bubble

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    Chatter about an AI bubble has been everywhere lately, and top tech companies like Google, Meta, and Microsoft have doubled down on their AI investments for 2026. But how have analysts in the past accurately identified forming tech bubbles? Hosts Michael Calore and Lauren Goode sit down with Brian Merchant, WIRED contributor and author of the newsletter Blood in the Machine, to break down the four criteria some researchers have used in the past to understand and brace for the worst.

    Articles mentioned in the episode:

    Please help us improve Uncanny Valley by filling out our listener survey.

    You can follow Michael Calore on Bluesky at @snackfight and Lauren Goode on Bluesky at @laurengoode. Write to us at uncannyvalley@wired.com.

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    Transcript

    Note: This is an automated transcript, which may contain errors.

    Michael Calore: Hey Lauren, how are you doing?

    Lauren Goode: I’m OK, Mike. It’s earnings season, so a lot of us on the business desk here at WIRED have been tuning into tech companies earnings reports and their earnings calls. And I guess that basically means it’s CapEx season.

    Michael Calore: CapEx?

    Lauren Goode: Capital expenditures.

    Michael Calore: You say CapEx?

    Lauren Goode: Yeah. Now that I’m a business desk reporter, I say CapEx.

    Michael Calore: You’re one of those.

    Lauren Goode: I throw it around at parties. No, I really don’t. But we are seeing a trend in how tech companies are sleeping on piles of money, but they aren’t just sleeping on it. They’re sharing big plans to spend on it, and especially to spend on AI infrastructure.

    Michael Calore: Right. Data centers.

    Lauren Goode: Yeah, more data centers. Not just data centers, but yes, that’s a big part of it.

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    Lauren Goode, Michael Calore

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  • SoftBank Just Sold Its Entire Nvidia Stake to Bet Big on OpenAI

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    On Tuesday, SoftBank, the Japanese multinational investment conglomerate, announced they had unloaded the entirety of its Nvidia stock and invested it into OpenAI. According to the company’s latest financial statements published on November 11, SoftBank sold $5.8 billion in Nvidia shares in October. 

    “OpenAI is one of our key growth drivers. The fair value of our OpenAI investment rose sharply, reflecting the latest transaction valuation,” said SoftBank’s CFO Yoshimitsu Goto in a video to investors. SoftBank invested $10 billion in OpenAI earlier this year, as a part of a $40 billion commitment. Out of that, $7.5 billion was invested through SoftBank’s Vision Fund 2 and $2.5 billion through co-investors.  

    Goto said that after OpenAI addressed its “long term structure,” by the end of 2025 SoftBank will invest an additional $22.5 billion in the company. Goto is referring to OpenAI’s long-awaited restructuring, which was approved at the end of October. The restructuring splits OpenAI into two separate organizations, the OpenAI Foundation, which is the nonprofit entity, and OpenAI Group, the company’s for-profit entity which has been restructured as a public benefit corporation. OpenAI’s previous for-profit corporate structure capped investors’ potential returns at 100 times their investment, with any additional revenue owned by the nonprofit. This is no longer the case, though the nonprofit currently owns a controlling share in OpenAI Group. 

    OpenAI’s nonprofit and for-profit entities have long had tensions. The company was initially founded as a nonprofit with the mission of producing artificial intelligence that will benefit all of humanity. But in order to attract outside investors, it spun out a for-profit arm in 2019. That tension came to a head in 2023 when the nonprofit board ousted Sam Altman with the explanation that he was no longer accountable to the board. But after investor pressure, Altman was reinstated and the process of restructuring OpenAI as a for-profit entity ensued. The new restructuring gave the OpenAI Foundation a 26 percent equity stake in OpenAI. 

    Goto cited OpenAI’s skyrocketing growth when compared to its competitors as a reason for SoftBank’s bullishness. Thus far, OpenAI has seen more than 870 million users download its app. That’s compared to 282 million users for Google’s Gemini, its closest competitor, and 50 times more downloads than Claude, which also ranked behind Elon Musk’s Grok. 

    The recent selloff has raised concerns about an impending AI bubble popping. Financial analysts have suggested that, according to Nvidia’s Price to Earnings ratio, a metric investors use to determine how much they are paying for $1 worth of a company’s profits, Nvidia’s shares are overpriced. The P/E ratio for Nvidia shares are currently hovering around 50 versus the industry average of 41, indicating that Nvidia shares may be overpriced. 

    SoftBank also made about $2 billion from its Deutsche Telkom shares and around $9 billion by selling its T-Mobile shares.

    The early-rate deadline for the 2026 Inc. Regionals Awards is Friday, November 14, at 11:59 p.m. PT. Apply now.

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    Tekendra Parmar

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