Wall Street's AI-driven selloff is facing its first test as chip stocks attempt to recover from Monday's sharp decline. Nvidia, AMD, and SanDisk are all trading higher, with investors reassessing the assumption that slower frontier-model development will automatically translate into weaker demand for AI infrastructure.
Rebound amid AI slowdown fears
Monday's selloff was triggered by calls from industry leaders to slow the pace of frontier-model development, sparking a rush out of AI-linked hardware. Nvidia fell 3.4%, and semiconductor shares broadly declined as investors quickly priced in weaker data-center demand. However, that bearish thesis is now being challenged by company commentary and analyst views.
AMD, for instance, says demand still exceeds supply across its CPU and GPU product lines. Piper Sandler analyst David O'Connor reiterated an Overweight rating and $600 price target after speaking with AMD, describing business momentum as "full-steam ahead." The firm noted that demand remains well ahead of available supply, with CPU and GPU ramps on track.
Slower frontier AI doesn't necessarily mean fewer chips
Nvidia remains the clearest proxy for the AI infrastructure trade. The bearish logic was straightforward: if OpenAI, Anthropic, and other frontier developers slow model development, hyperscalers may need fewer accelerators and less data-center capacity. But Hendi Susanto, portfolio manager at Gabelli Funds, challenged that assumption in comments reported by MarketWatch. He argued that if leading developers slow down, "second and third tier players will seize the opening to catch up."
Susanto also pointed to inference, enterprise AI, and physical AI as demand engines that do not depend solely on ever-larger frontier models. That matters for Nvidia because its opportunity is no longer limited to training the next generation of foundation models. Inference, robotics, and enterprise deployment can continue consuming compute even if the frontier race becomes more cautious.
Slower model progress and slower infrastructure consumption are not necessarily the same trade. As spending plans remain intact, the market may be overreacting to headline risks.
AMD shows little evidence of a demand slowdown
AMD provides the clearest company-level reality check. The company's commentary offers little support for the fear that AI customers will delay infrastructure spending. Even if overall AI capital expenditure rises more slowly, customers are still trying to diversify accelerator suppliers and reduce dependence on one vendor. That gives AMD room to gain market share without requiring the entire infrastructure market to grow at the breakneck pace investors previously assumed.
SanDisk highlights where the rebound thesis could break
SanDisk is the useful counterweight because not every semiconductor subsector depends on the same demand drivers. AI has lifted enterprise SSD demand as data centers require more flash storage for training datasets, inference workloads, and model updates. However, GF Securities analyst Jeff Pu said that the firm maintains a "high-teen QoQ NAND price expectation for 3Q26," but expects growth to soften to low single digits in the fourth quarter as weaker mobile demand and elevated PC and handset inventories weigh on pricing.
That makes SanDisk a reminder that the AI panic trade can be overdone while the memory cycle still cools independently. AI storage demand can remain healthy without NAND prices rising at peak rates indefinitely. As memory stocks tumble on AI safety debates, the sector's dynamics remain complex.
What to watch next
A two-day rebound cannot settle the spending debate. The real evidence will come from hyperscaler capex guidance, accelerator order books, and memory pricing over the next few quarters. Investors should monitor these indicators for clearer signals on whether the AI infrastructure boom is truly slowing or merely experiencing a temporary hiccup.
This article is for informational purposes only and does not constitute financial advice.
