Investor anxiety over the durability of the AI-driven rally intensified this week after prominent industry figures urged a slower pace of artificial intelligence development. The comments, including from Anthropic CEO Dario Amodei, have raised fresh questions about whether the massive capital spending boom behind AI infrastructure can continue at its current trajectory.
While the calls do not necessarily signal an immediate pullback in investment, they have injected a new layer of uncertainty into markets that have become heavily reliant on continued AI spending. The S&P 500 has more than doubled since the bull market began in October 2022, fueled in large part by technology companies' aggressive investments in AI data centers, which have benefited chipmakers, equipment suppliers, construction firms, and a wide range of other businesses.
Semiconductor stocks bear the brunt
The first clear market reaction came in semiconductor stocks, which have become a primary vehicle for investors seeking exposure to the AI boom. The iShares Semiconductor ETF dropped nearly 6% on Monday, while major chipmakers including Nvidia, Micron, and AMD fell between 3% and 5%. The stocks were largely flat in premarket trading on Tuesday, with the ETF down more than 0.2%.
Despite the selloff, the Philadelphia SE Semiconductor Index remains up more than 55% in 2026, underscoring how far the sector has run during the AI boom. The sharp reaction may partly reflect the crowded nature of the trade, as investors question whether they still want to hold positions in a heavily trafficked space with a new overhang.
“Markets are punishing the picks-and-shovels layer harder than the hyperscalers because it's the layer most exposed to a slowdown in the rate of capability improvement,” said Erik Kratz, chief investment officer at Arena Private Wealth, in a Reuters report. Jake Behan, head of capital markets at Direxion, noted that heavily traded areas can experience particularly sharp moves when sentiment shifts. “It's not surprising to see some air come out of them in a quick way,” he said.
Spending plans remain largely intact
For now, there is little evidence that major technology companies are preparing to abandon their AI investment plans. AllianceBernstein fixed-income specialists said calls to slow AI development were unlikely to derail fundraising and capital spending by technology companies and data-center operators. “These are long-term fundraising plans,” said Thierry Taglione, a senior investment strategist at the firm, referring to financing moves by hyperscalers and data-center operators. “It's a fair concern, but we're talking 10-year tenors and beyond. That's not going to be derailed by news over the weekend.”
AllianceBernstein still expects leading AI hyperscalers to increase nominal capital expenditure in the near term, forecasting spending of more than $1 trillion next year. The firm does, however, expect spending to slow in subsequent years and eventually fade, potentially becoming a drag on overall US economic growth.
Bernstein semiconductor analyst Stacy Rasgon echoed that view, arguing that a slower pace of AI development would not necessarily translate into an immediate reduction in infrastructure spending. “Recent AI revenue targets from our companies should already be representative of spending plans, and we would be very surprised to see those plans changing materially,” he said in a MarketWatch report. Rasgon also noted that even if companies reduce the pace of AI training and advancement, that does not automatically mean spending will decline.
Regulation adds another layer of risk
The debate is also expanding beyond corporate spending to the possibility of increased government regulation. Investors are now weighing whether attempts to impose safeguards on AI development could affect the companies that have benefited most from the infrastructure boom. The regulatory debate comes despite President Donald Trump's comments on Monday dismissing AI safety threats as a “hoax” and downplaying the need for regulation.
For investors, the uncertainty lies in how any future rules might affect the pace of AI development, chip demand, and the economics of building increasingly expensive data centers. Semiconductor and memory companies could be among the first areas to feel the impact if regulation ultimately slows the development or deployment of advanced AI systems.
Related coverage: AI chip stocks tumble and memory stocks slide on similar concerns. For a broader view, see how AI stocks dragged the Dow and Bernstein's take on Nvidia.
This article is for informational purposes only and does not constitute financial advice.
