Technology companies are ramping up investments in artificial intelligence, with major players like Alphabet, Amazon, Meta Platforms, and Microsoft projected to spend up to $720 billion this year, primarily on AI data centers. However, this significant financial commitment is leading to a growing skepticism among investors regarding the potential for AI to generate sufficient profits and productivity to justify such massive investments.
This skepticism has resulted in notable volatility in the stock market. On a recent Monday, shares in both Amazon and Alphabet fell approximately 5%. The following day, the decline continued as chip manufacturers like Nvidia, Micron Technology, Broadcom, and Lam Research also saw their stock prices drop. Initially, tech giants funded their AI expansions through cash reserves, but now they are increasingly looking to the financial markets for additional capital.
To bolster its investment plans, Alphabet announced an $80 billion stock sale earlier this month. This figure is part of a broader strategy where the company intends to invest up to $190 billion in 2023 alone—amounting to more than the market value of The Walt Disney Company—and plans an even larger budget for investments next year. Similarly, Amazon has issued $54 billion in bonds in the U.S. and Europe, allocating this capital toward estimated $200 billion in AI investments.
SpaceX, led by Elon Musk, has also faced challenges, experiencing a dip in stock prices in the days leading up to a recent Tuesday. Though it has regained some ground, it remains only marginally above its trading debut price. Musk has stated that SpaceX will require substantial spending to facilitate its plans for AI data centers in space, with upcoming bond offering proceeds set to support this initiative.
Chip manufacturers have enjoyed a bullish market due to increased demand for memory and processing power essential for AI data centers, which has led to an uptick in stock prices for many companies in this sector. However, rising stock prices can inflate the price-to-earnings (P/E) ratio significantly, leading to potential overvaluation. For example, Marvell Technologies, which had no profit for five consecutive years, reported a profit of $2.7 billion last fiscal year, leading to its stock price tripling this year with a P/E ratio soaring to near 100. Concurrently, Sandisk shares have skyrocketed more than 700% year-to-date, positioning its P/E ratio at 68; yet, the average P/E ratio for the S&P 500 sits around 25.
Notably, Tuesday saw a sell-off across tech stocks, pushing down companies like Sandisk, which fell by 12.2%, and Marvell, which dropped by 8.1%. This sell-off also impacted exchange-traded funds (ETFs) heavily investing in technology stocks, with the Invesco QQQ Trust Series ETF and iShares Semiconductor ETF decreasing by 2.6% and 7.1%, respectively.
While some investors express concern over the sustainability of companies’ aggressive AI infrastructure spending, others may simply be taking profits after a robust stock market rally. Brock Weimer, an investment strategy analyst at Edward Jones, stated that the recent decline likely reflects profit-taking rather than any specific market catalyst.
The tech sector has contributed significantly to stock index gains, with the S&P 500 tech sector rising nearly 27% within three months and approximately 18% year-to-date. In Asia, South Korea’s Kospi index has almost doubled in value this year. Heavy selling within the Kospi triggered a temporary halt in trading, impacting subsequent tech stock performance once U.S. markets opened.
Despite the current stock market turmoil, some analysts remain optimistic about AI demand in Asia, asserting that the underlying demand is strong. Nonetheless, experts caution that the push toward expanding AI infrastructure might set up future oversupply issues. Philip Straehl, Chief Investment Officer at Morningstar Wealth, noted that, historically, elevated capital investments do not always result in profitable outcomes for investors. He warned that rapid expansions, particularly in semiconductor companies, could pressure pricing and negatively impact returns, ultimately leading to reduced investments.
As supply chain issues and rising prices for computer memory have previously driven up stocks like Sandisk, these dynamics could motivate other firms like Nvidia to seek significant market shares. Straehl suggests that as AI-focused companies take up a growing share of major stock indices, diversifying into sectors less reliant on AI expectations, such as healthcare, may become a prudent strategy for investors.
