"AI Slowdown" Debate Sweeps Silicon Valley; Analysts Offer Reassurance as Infrastructure Demand Set to Remain Robust
As the "AI slowdown" narrative swept through Silicon Valley, artificial intelligence equities suffered a sharp selloff on Monday amid investor anxiety that leading model developers would adopt more cautious research cadences and capital expenditure strategies.
However, sentiment stabilized on Tuesday, halting the slide across AI-linked names. Semiconductor equities mounted a clear rebound, led by Qualcomm, AMD, Marvell Technology, and Arm. Nvidia and Micron Technology posted modest gains, while Intel bucked the trend to finish lower.
Concurrently, server and component manufacturers advanced, with Dell Technologies, Ciena, and Hewlett Packard Enterprise notching solid gains.
"Even if Anthropic, OpenAI, and other labs building frontier models decelerate their pace, tier-two and tier-three players will seize the opportunity to close the gap—meaning demand for AI infrastructure will remain elevated regardless," said Hendi Susanto, Portfolio Manager at Gabelli Funds.
Susanto noted that growth catalysts such as inference, enterprise AI, and physical AI have yet to fully materialize, while leading AI infrastructure providers have signaled that demand is likely to outstrip supply through at least next year.
In an email commentary, Susanto acknowledged that semiconductor and semiconductor equipment equities are historically cyclical—rendering them vulnerable to broader industry downturns—but emphasized that "building and scaling out new capacity takes years, not quarters," which will continue to underpin the broader AI trade.
Memory chip makers like Micron, which previously hesitated to expand output amid oversupply fears and price-collapse risks, have now announced plans to scale capacity over the coming years to meet surging demand.
Susanto added that customers are actively locking in multi-year supply agreements for chips, networking gear, and other hardware, observing that "this does not look like the onset of a downcycle."
From Susanto's perspective, the recent semiconductor pullback offers an attractive entry point.
He noted that within higher-risk, higher-reward segments of the AI trade—such as next-generation optical networking—returns hinge on achieving technical milestones, which explains why "volatility and speculative sentiment run so high in these areas."
Industry Leaders Clash Over Pacing and Regulation
The recent market jitters follow weekend remarks from prominent tech executives, including Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman, and xAI CEO Elon Musk, who collectively called for a deceleration in frontier AI model development to mitigate mounting safety risks.
Weighing in on Tuesday, Nvidia CEO Jensen Huang pushed back against apocalyptic claims that artificial intelligence could wipe out humanity within the decade, asserting that humans will not perish by 2030.
Huang also argued that AI does not require novel statutory regulation, asserting that companies failing to guarantee product functionality and safety simply should not ship, leaving market forces to naturally police the balance between innovation and safety.
Meta CEO Mark Zuckerberg also took to X on Tuesday, arguing that a blanket industry-wide slowdown is unnecessary.
Zuckerberg suggested that individual AI firms can independently dial back product timelines when safety concerns arise, adding that "bringing in independent evaluators and advisors is best practice for the industry."