Technology companies are making sizeable investments to integrate artificial intelligence (AI) into their operations and expand data center capacity, but some investors are beginning to question the financial viability of such spending amid recent stock market declines.

Four major tech firms—Alphabet, Amazon, Meta Platforms, and Microsoft—plan to allocate up to $720 billion toward AI-related investments this year, with much of that sum directed toward AI data centers. Despite AI’s widely viewed potential as a transformative economic force, investors are increasingly wary about whether these expenditures will translate into meaningful profits and enhanced productivity.

The skepticism surfaced visibly this week, with shares of Amazon and Alphabet each declining approximately 5% on Monday. The downward trend continued on Tuesday as chipmakers integral to AI infrastructure—such as Nvidia, Micron Technology, Broadcom, and Lam Research—experienced notable losses. These companies have benefited from surging demand for memory chips and processing power deployed in data centers but now face pressure from a possible market revaluation.

Initially, major tech companies funded their AI initiatives using cash reserves but are increasingly turning to capital markets for financing. Alphabet recently announced plans to raise $80 billion through stock sales to support its investments. The company aims to spend as much as $190 billion this year and expects investment levels to rise significantly in 2027. Similarly, Amazon raised approximately $54 billion through bond issuances in the U.S. and Europe to fund its roughly $200 billion AI spending plan.

SpaceX, owned by Elon Musk, also acknowledged significant forthcoming expenses to support its goal of deploying AI data centers in space. The company’s shares were under pressure during a recent trading slump but regained some ground, with part of its planned bond offering earmarked to finance its AI ambitions.

Some chip and data storage companies have seen substantial stock gains amid the AI enthusiasm. Marvell Technologies, which turned profitable last year after five years of losses, has seen its shares more than triple in 2026, with its price-to-earnings (P/E) ratio rising from about 30 to nearly 100. SanDisk’s shares have surged over 700% year-to-date, with forecasts projecting earnings per share that, if met, would reduce its P/E ratio to approximately 11, compared to the S&P 500’s average P/E of around 25.

Despite strong expectations, Tuesday’s market activity saw significant sell-offs. SanDisk shares declined 13.6%, Marvell fell 9.4%, and ETFs heavily weighted toward tech stocks, such as the Invesco QQQ Trust Series ETF and the iShares Semiconductor ETF, dropped 3.3% and 7.9%, respectively. Analysts suggest some of this activity may represent profit-taking after months of record-setting gains rather than a definitive shift in sentiment.

The technology sector has driven much of the market’s advance in 2026, with gains of nearly 27% over three months and about 17% year-to-date in the S&P 500. Regionally, South Korea’s Kospi index nearly doubled during the same period, although it experienced a trading halt amid heavy selling, which analysts identified as a precursor to declines in U.S. tech stocks.

While some experts remain bullish on AI’s long-term prospects and enterprise demand in Asia, others caution that the current surge in capital investment could lead to oversupply and diminished returns. Philip Straehl, chief investment officer at Morningstar Wealth, noted that historically, periods of high capital spending have not always benefited investors and that expanding AI computing capacity may ultimately depress prices and profitability, particularly among semiconductor manufacturers.

The ongoing debate highlights the challenges investors face in balancing AI’s transformative potential against the risks inherent in substantial upfront investment and market uncertainty.