Key Takeaways
\nThe AI rally has stumbled in recent weeks as investors have questioned whether big tech’s massive AI investments are inflating an AI bubble.Some investors argue tech giants are spending too much, too fast on a technology that is unlikely to generate a healthy return on investment anytime soon. AI bulls argue bubble concerns are overblown.<\/p>\n
Nvidia is slated to report quarterly results next Wednesday. It could be a make-or-break moment for the bull market.\u00a0\n<\/p>\n
Anxiety about AI is running high on Wall Street heading into Nvidia’s (NVDA<\/a>) print. AI stocks weighed on the broader market last week, when the Nasdaq notched its worst weekly performance<\/a> since early April\u2019s \u201cLiberation Day\u201d tariff announcement roiled markets.\n<\/p>\n The mood improved to start the week amid signs that the government was moving closer to reopening. But AI jitters returned after Japanese investment firm SoftBank on Tuesday said it had sold its entire stake in Nvidia<\/a>: Shares of both companies slumped despite SoftBank executives clarifying that the sale was made to fund other AI investments, not a sign that the company had soured on the chipmaker.\u00a0\n<\/p>\n Why This Is Important<\/p>\n Nvidia’s quarterly earnings report is one of the most closely followed events on Wall Street. Investors parse Nvidia’s results and guidance for confirmation that the AI infrastructure buildout, which made the chipmaker the world’s most valuable company and has help power partners’ and competitors’ shares higher, is continuing.<\/p>\n Some investors are increasingly concerned that an AI bubble is forming, fueled by a series of circular business deals<\/a>, massive AI investments, and optimism about the technology\u2019s near-term commercial utility.\u00a0Michael Burry, known for predicting the 2007 subprime mortgage crisis, recently revealed his hedge fund had shorted $1.2 billion<\/a> of Nvidia and Palantir (PLTR<\/a>) stock as of the end of September.\n<\/p>\n The major hyperscalers\u2014tech giants like Microsoft (MSFT<\/a>), Alphabet (GOOG<\/a>), Amazon (AMZN<\/a>), Meta (META<\/a>), and Oracle (ORCL<\/a>)\u2014plan to spend hundreds of billions of dollars this year and next<\/a> as they construct data centers and outfit them with the advanced chips and support equipment required the train and run artificial intelligence. That spending has been a boon to companies like Nvidia, whose sales and earnings have soared over the past three years.\u00a0\n<\/p>\n But some investors question whether the hyperscalers would recoup their investments. BCA Research analysts last week suggested shorting hyperscaler stocks<\/a>, citing their belief that the speed and scale of AI investments will weigh the companies’ returns on equity<\/a>, and thus their stock valuations, regardless of profit growth in their core businesses.\u00a0\n<\/p>\n \u201cOur biggest fear would be a repeat of the telecom and fiber buildout experiences, where the revenue curve failed to materialize at a pace that justified continued investment,\u201d wrote JPMorgan analysts on Wednesday.\n<\/p>\n JPMorgan estimated that it would require about $650 billion of annual revenue indefinitely for tech companies to reap a 10% return on their AI investments through 2030. For scale, they likened that figure to nearly six basis points of global gross domestic product or nearly $35 a month from every current iPhone user.\n<\/p>\n The growing importance of OpenAI to the rally has also raised eyebrows. According to CEO Sam Altman, the start-up recently reached an annualized revenue run rate of $20 billion. But JPMorgan estimates the ChatGPT maker has agreed to pay just three companies\u2014Nvidia, Advanced Micro Devices (AMD<\/a>), and Broadcom (AVGO<\/a>)\u2014between $1.2 trillion and $1.5 trillion for data center capacity over the next 5 years.\n<\/p>\n Are Big AI Projections ‘More Sizzle Than Steak?’ <\/p>\n To be sure, many investors see ample reason to remain bullish<\/a> on AI stocks\u2014or, at least, that it’s too hard to call the top to bet against them.\n<\/p>\n They note that comparisons of today to the Dotcom Bubble ignore that tech valuations are below their Dotcom peaks<\/a>, and that, unlike during the 1990s internet craze, the companies making the biggest investments in AI infrastructure are among the world’s largest most profitable companies.\n<\/p>\n Others point to the likelihood that the Federal Reserve is in the middle of a rate-cutting cycle, which should stimulate data center construction<\/a> by making borrowing more affordable. Rate cuts are also expected to increase liquidity in financial markets, likely boosting stock prices.\n<\/p>\n