Nvidia (NVDA) is set to release its fiscal Q3 2026 earnings on Nov. 19 after the close of markets. The world’s most valuable company's earnings are always an event worth watching, but even more so this time around, as the artificial intelligence (AI) rally is getting tested. While “AI bubble” chatter has been an intermittent theme, many, including Michael Burry of “Big Short” fame, have made some serious allegations and accused the Big Tech giants of accounting fraud by understating their depreciation by ...

What is your takeaway as to the circular financing and whether this is a concern. I think that there's clearly a lot happening, right. And the integration that we're having between the private markets as well as the public markets is clearly something to be watching.And it's a space that we follow very, very closely. We think that actually what we've been seeing with open eyes relationships is the fact that they're broadening them. They're creating structures that are allowing them to potentially IPO long t ...

Artificial intelligence skepticism was growing even before legendary hedge fund manager Michael Burry, a contrarian, decided to kick a hornet's nest. First, many experts have admitted that AI is a bubble, but as a consolation, we get the opinion that it is different from the dot-com bubble, or, in the case of a former Intel CEO Pat Gelsinger, that it will take years to burst. Bank of America analysts usually point out that there will be no overbuilding of AI data centers, due to practical limitations suc ...

Core Insights - Michael Burry disclosed a $1.1 billion short position against Nvidia and Palantir Technologies, leading to a sell-off in tech markets [1] Company Performance - Palantir's stock dropped as much as 16% before closing down approximately 8%, despite beating third-quarter earnings estimates and raising full-year guidance [2] - Nvidia's stock fell between 2% and 4% during the same trading session, but it did not drop below its 50-day benchmark, indicating stronger fundamentals [2][5] - Palantir trades at a price-to-earnings ratio of approximately 254 and a price-to-sales ratio of around 115, making it vulnerable to bearish pressure [3] Market Reaction - The sell-off triggered by Burry's position affected global markets, with significant declines in Asian and European indices, particularly in Japan and South Korea [3] - The Nasdaq Composite recorded its largest one-day percentage drop in nearly a month at roughly 2%, with all members of the "Magnificent Seven" AI-related stocks closing lower [2] Valuation Concerns - The current trading prices for both stocks are below the average of the last 50 days, raising concerns for technical analysts [4] - Burry's disclosure has injected volatility into the AI sector, making investors cautious about buying at high valuations [6] Broader Market Sentiment - Major Wall Street executives, including CEOs from Morgan Stanley and Goldman Sachs, warned investors to prepare for potential market corrections of 10% to 20% in equity markets over the next couple of years [7] - Deutsche Bank is reportedly exploring strategies to hedge its exposure to AI-driven investments in data centers [7] - Burry highlighted "circular financing" in tech, questioning the sustainability of reported growth in the sector [7]

Group 1 - India has backed 59 different AI startups through October of this year, surpassing the total from the previous year and representing a growth of more than triple or quadruple compared to a couple of years ago [1] - The support for the wider ecosystem is seen as a strategy that will ultimately benefit India, indicating a desire to enhance the industry [2] - The circular financing nature of the ecosystem suggests that investments in startups will lead to returns that can benefit the Indian market [4] Group 2 - There is no obligation for companies receiving funding to purchase chips, but India remains the market leader for AI chips, indicating a strategic advantage [3] - The influx of capital into startups is expected to diversify revenue streams and support the development of future market leaders in India [4] - Access to technical know-how and networks, in addition to financial resources, is crucial for startups, enhancing their branding as companies backed by significant investors [5]

Market Sentiment - Retail investors are showing increased confidence and enthusiasm, actively buying dips and being rewarded for their investments [1][2] - There is a notable rise in new retail accounts being opened, indicating a desire for participation in markets such as stocks and cryptocurrencies [1] Company Insights - Tesla continues to face skepticism from Wall Street regarding its valuation, particularly in light of competition from Chinese EVs and the removal of EV subsidies [1] - Nvidia is highlighted as a strong buy due to its significant market share and advancements in chip technology, with expectations for continued growth in the AI sector [3][4] Economic Environment - The market is expected to experience choppy conditions as it digests recent gains, with volatility remaining elevated [2] - Concerns about credit conditions are present, but the current situation is not viewed as severe as the financial crisis of 2008 [7] AI and Technology Trends - The AI sector is anticipated to see substantial revenue growth driven by ancillary spending and efficiency improvements across various industries [4][6] - Companies are adapting to the evolving landscape of AI, with significant investments being made to secure their future in the market [5][6] Investor Education - There is a strong emphasis on the importance of educating investors about market dynamics and emerging technologies, as they seek to make informed decisions [8]

Core Insights - Morgan Stanley expresses concern over the circular financing in hyperscale AI projects, highlighting the need for better disclosure to understand the relationships within the AI ecosystem [1][3] - AI infrastructure stocks, particularly Nvidia and AMD, are experiencing significant market performance, with Nvidia recently investing in Elon Musk's AI startup xAI [1][2][5] Group 1: Circular Financing and Relationships - The AI ecosystem is becoming increasingly circular, with suppliers funding customers and sharing revenue, leading to cross-ownership and rising concentration [1] - Analyst Todd Castagno emphasizes the complexity of transactions in the AI sector, which complicates the evaluation of AI demand and increases associated risks [3] Group 2: Need for Transparency - There is a call for more transparency regarding customer concentration, vendor financing, revenue-sharing agreements, and related-party transactions among AI companies [4] - Companies like Microsoft and Oracle are also noted for needing improved disclosure regarding their AI data center deals [4] Group 3: Market Performance - AI infrastructure stocks are performing well, with chipmakers AMD and Nvidia reaching record-high trading levels, and server makers like Dell Technologies and Super Micro Computer also seeing positive trends [5]

Core Insights - The article highlights concerns regarding Oracle Corp's (NYSE: ORCL) ability to meet gross margin expectations from AI infrastructure rentals, indicating potential overvaluation in the sector [14]. Group 1: Oracle Corp Analysis - Oracle generated $125 million in gross margins from $900 million in rentals over the last three months, resulting in a gross margin of 14%, which is below the expected 25% from credible analysts [14]. - The article suggests that if a well-established company like Oracle struggles to achieve expected margins, projections for smaller players in the AI space may be overly optimistic [14]. Group 2: Circular Financing Concerns - The article raises red flags about circular financing, where the same dollars are counted multiple times among different companies, potentially leading to inflated valuations [14]. - Examples of circular financing include Nvidia's $2 billion investment in Elon Musk's xAI, which subsequently purchases Nvidia chips, creating a loop of financial transactions that may distort actual revenue figures [14]. Group 3: Market Context - The article notes that the FOMC minutes are scheduled for release, which could impact market movements, particularly in the context of AI investments [14]. - It emphasizes the importance of maintaining sufficient cash reserves to capitalize on new opportunities while adjusting hedge levels for stock positions [15].

Core Insights - The article discusses the significant investments and deals between Nvidia and OpenAI, highlighting the potential for a circular financing model that may inflate valuations without creating actual value [9][4][5] - There are concerns about the sustainability of these investments, with analysts drawing parallels to the dotcom bubble, suggesting that a downturn in demand could have widespread implications for the capital markets and economy [9][8][5] Investment Activities - Nvidia has committed to investing $100 billion in OpenAI for 10 gigawatts of data center capacity over the next decade, which will utilize millions of Nvidia GPUs [3] - OpenAI has signed a $300 billion deal with Oracle to establish five data centers in the US, which will also incorporate Nvidia chips [3] - Nvidia's recent $2 billion equity investment in Elon Musk's xAI is part of a larger $20 billion funding round structured through a special purpose vehicle [3][9] Market Dynamics - Both Nvidia and OpenAI are leveraging the current demand for AI technology to enhance their valuations, with Nvidia signing 50 deals by September 2023 [6][10] - OpenAI, valued at $500 billion, is yet to turn a profit while planning substantial investments in AI infrastructure, relying on a mix of venture capital, debt, and partnerships [10][5] - The investments in AI infrastructure are characterized as the new normal to meet increasing user demand, according to industry leaders [10][7] Concerns and Criticism - Analysts express worries about the circular nature of the financing arrangements, which may not lead to genuine growth and could result in inflated valuations [5][9] - Historical comparisons are made to the late 1990s, where similar circular deals were prevalent, raising concerns about the current AI landscape [5][9] - There is a fear that a decline in demand or competition from cheaper alternatives could trigger a collapse in the AI market [8][10]

Core Insights - AMD's shares surged nearly 36% following a significant deal with OpenAI, which could lead to tens of billions in revenue for AMD [1] - The agreement involves a multiyear commitment of six gigawatts of capacity, equating to the peak energy demand of a sizable city [2] - OpenAI's financing strategy for this deal remains uncertain, particularly regarding the issuance of warrants for AMD shares contingent on milestone completions [3][4] AMD and OpenAI Deal Structure - The first tranche of AMD shares will be delivered upon the completion of the first gigawatt of capacity, raising questions about OpenAI's financing mechanisms [4] - AMD's deal structure differs from Nvidia's previous agreement with OpenAI, which was valued at $100 billion and involved a stake in OpenAI [6][7] - OpenAI's total commitments to various partners range between 26 and 30 gigawatts, with AMD's six gigawatts being a significant portion [5] Market Implications - The deal positions AMD to compete more effectively against Nvidia in the high-performance GPU market, particularly in inference tasks [9] - Following the announcement, Intel's shares fell, while Nvidia's shares experienced fluctuations, indicating competitive pressures in the market [8] - AMD's technology may be perceived as superior for inference compared to Nvidia, although this remains speculative until the data centers are operational [10]