At the center was Alphabet, the latest of the so-called “Magnificent Seven” to report earnings. While revenue held up, management projected 2026 capital expenditures as high as $185 billion, largely tied to artificial intelligence infrastructure. That number landed with force. Alphabet shares fell about 3%, reigniting investor anxiety that AI spending may be outrunning near-term cash returns.
The pressure did not stop with tech earnings. Fresh labor market data showed January layoffs at 108,435, the highest January figure since the global financial crisis. Initial jobless claims also jumped more than expected. At the same time, bitcoin broke below $70,000, silver collapsed by double digits, and oil prices slid more than 2%. Together, these data points painted a picture of tightening financial conditions, shifting risk appetite, and a market rapidly reassessing growth assumptions for 2025 and beyond.
Why the Dow, S&P 500, and Nasdaq fell today
The sell-off was broad but uneven, with technology stocks once again acting as the fulcrum. The Nasdaq’s 326-point decline reflected heavy pressure in software, semiconductors, and AI-linked names that have led the market for three straight years. Investors rotated away from high-multiple growth stocks as concerns mounted that elevated capital spending will compress margins before revenue fully materializes.
The S&P 500 recorded its second consecutive daily loss, driven by weakness in large-cap tech and communication services. Meanwhile, the Dow’s decline was less severe in percentage terms, helped by relative stability in industrials and some value-oriented names. Still, the index closed firmly in the red, signaling that risk aversion was not confined to one corner of the market.
Market participants pointed to a subtle but important shift in investor psychology. For much of the AI rally, capital expenditure itself was treated as a bullish signal. Today, that logic flipped. Spending is no longer enough. Investors want proof of monetization, margin expansion, and free cash flow discipline. Without that, even strong earnings reports are being sold.
Alphabet’s AI spending outlook rattles investors
Alphabet’s earnings release became the session’s defining catalyst. The company’s projection of up to $185 billion in capital expenditures for 2026 underscored just how expensive the AI race has become. Data centers, custom chips, and energy infrastructure are consuming capital at a pace rarely seen outside wartime mobilizations or major industrial buildouts. Shares of Alphabet fell more than 3%, dragging sentiment across the broader technology sector. The concern was not that AI demand is weak. Instead, it was that returns may take longer to arrive than investors had priced in. When capex growth outpaces revenue growth, valuation multiples come under pressure.
The reaction was not uniform across AI-linked stocks. Broadcom surged 5%, and NVIDIA climbed nearly 1%. For some investors, Alphabet’s spending plans were seen as confirmation that demand for high-end chips and networking hardware remains strong. The market is now drawing sharper lines between AI “spenders” and AI “enablers,” rewarding the latter while scrutinizing the former.
Tech stocks slide as forecasts disappoint
Earnings pressure spread beyond Alphabet. Qualcomm shares plunged 9% after the company issued a weaker-than-expected forecast. Management cited a global memory shortage that is constraining device production and delaying demand recovery. The sharp drop reinforced fears that parts of the semiconductor cycle remain fragile, even as AI-related segments boom.
The divergence within tech was striking. Intel gained more than 3%, benefiting from bargain hunting and expectations of improved foundry execution. Snap fell over 7%, reflecting ongoing advertising uncertainty. Peloton sank more than 21%, one of the day’s steepest declines, as concerns about demand and profitability resurfaced.
This dispersion highlights a market that is no longer lifting all tech stocks together. Balance sheets, pricing power, and visibility into earnings matter more than themes alone.
Jobless claims and layoffs revive labor market fears
Macroeconomic data added weight to the sell-off. Outplacement firm Challenger, Gray & Christmas reported that U.S. employers announced 108,435 layoffs in January, the highest January total since the global financial crisis. The figure shocked investors who had grown accustomed to a resilient labor market.
At the same time, the Labor Department reported that initial jobless claims rose to 231,000 for the week ended January 31. That was 22,000 higher than the prior week and well above the Dow Jones consensus estimate of 212,000. Continuing claims also increased to 1.84 million, though the four-week moving average remained near its lowest level since October 2024.
The data sent a mixed but cautionary signal. While the labor market is not collapsing, cracks are forming. Investors worry that rising layoffs could translate into weaker consumer spending, just as higher interest rates and tighter credit conditions already weigh on demand.
Commodities and crypto deepen the risk-off mood
The risk-off tone spilled decisively into commodities and digital assets. WTI crude oil fell 2.32% to $63.63, while Brent crude dropped 2.05% to $66.75, reflecting concerns about global growth and demand softness. Natural gas was a rare bright spot, edging 1.44% higher to $3.52.
Precious metals were hit hard. Gold declined 1.61% to $4,871.20, but the real shock came from silver. Prices collapsed more than 10% in a single session, snapping a brief rebound and extending losses after a nearly 30% plunge last Friday. The move underscored how quickly leveraged trades can unwind when sentiment turns.
Cryptocurrencies mirrored the turmoil. Bitcoin slid 6.55% to $68,485, breaking below the psychologically important $70,000 support level. Ether fell a similar 6.54%, while XRP dropped nearly 12%. The Nasdaq Crypto Index sank almost 6%, signaling broad-based liquidation rather than coin-specific weakness.
Wall Street is now grappling with a more complex reality. After years of being rewarded for aggressive AI investment, companies are being judged on discipline and returns. As Mark Haefele of UBS Global Wealth Management noted, investors are rewarding AI spending only when it comes with strong revenue growth.