Applied Materials Slides as AI Spending Doubts Hit Chip Equipment

Applied Materials shares were headed for their steepest decline in weeks on September 14, falling 5.8% in premarket trading to about $430 as investors marked down semiconductor stocks across the board.

The selling was not triggered by a new warning from Applied Materials. It reflected a broader rethink of the spending assumptions behind the artificial-intelligence buildout, after Anthropic Chief Executive Dario Amodei called for a slower pace of frontier-model development over the weekend. OpenAI CEO Sam Altman and Elon Musk also voiced support for greater caution, adding fuel to a debate that had largely been confined to technology policy and AI safety.

Markets translated that debate into a capital-expenditure question. If AI labs and cloud companies moderate the race to deploy increasingly powerful models, investors may eventually expect slower orders for servers, networking gear and the semiconductor-manufacturing equipment needed to produce them. The link is indirect, but Applied Materials sits close to the transmission point: Its tools are used in wafer fabrication, advanced memory and the logic chips that underpin data-center expansion.

The reaction looked especially severe because the company had just delivered a record quarter. Applied reported fiscal third-quarter revenue of $9.12 billion on August 13, up 25% from a year earlier, while non-GAAP earnings per share reached $3.50. Management forecast fourth-quarter revenue of $10.25 billion, plus or minus $500 million.

Those numbers did little to arrest the stock’s slide. Investors had already priced in a powerful AI-led cycle, and the shares had been under pressure since the earnings release as traders questioned how much of the growth was reflected in the valuation. Monday’s move extended that pullback rather than opening a fresh company-specific problem.

The weakness spread through the equipment complex. Lam Research fell about 6%, while ASML declined roughly 5%, according to market data cited during the session. The SPDR S&P Semiconductor ETF dropped about 5%, and Nvidia also retreated as investors reduced exposure to the most crowded AI trades.

For Applied Materials, the next test is whether chipmakers continue funding advanced-node, high-bandwidth-memory and packaging capacity at the pace assumed in current forecasts. Strong orders would reinforce the company’s earnings story. A pause would make Monday’s selloff look less like profit-taking and more like a reset of the sector’s growth premium.