The AI infrastructure trade is wobbling, but its chief architect is not blinking. When Nvidia Corporation (NASDAQ:NVDA) CEO Jensen Huang told reporters in Seoul on June 8 that the semiconductor selloff should be viewed as a buying opportunity, he was not simply defending his stock. He was offering a structural argument. For investors, the more important question is whether the data behind that argument still holds.

The Selloff Was Real, and So Was Its Trigger

The June 5 session was brutal for AI-linked stocks. Nvidia shares fell 6.2% to $205.10, erasing roughly $13.56 per share in a single day, according to Reuters. The Nasdaq composite dropped 4.2%, its worst single-day decline in more than a year. The catalyst was a May nonfarm payrolls report that showed the U.S. economy added 172,000 jobs. That figure was more than double the 85,000 consensus forecast. A labor market that strong gives the Federal Reserve little reason to cut rates. For high-multiple growth stocks like Nvidia, higher rates compress valuations by reducing the present value of future earnings. The selloff was rational in that narrow sense. The question is whether it reflected a change in fundamentals or simply a change in the discount rate applied to unchanged fundamentals.

Huang's Argument Rests on Verifiable Fundamentals

Nvidia's most recent earnings give that argument a firm foundation. The company reported first-quarter fiscal 2027 revenue of $81.6 billion on May 20, 2026, up 85% year over year. Data center revenue alone reached $75.2 billion for the quarter, up 92% from the same period a year earlier. Those figures are drawn directly from Nvidia's SEC filing. Meanwhile, the company guided for second-quarter revenue of approximately $91 billion. Huang's claim that AI infrastructure remains in its early stages is therefore not simply promotional language. It is consistent with a sequential revenue acceleration that has not yet shown signs of slowing.

Seoul Reveals the Strategic Depth of the AI Trade

Huang's visit to South Korea this week also carries signal for investors tracking the broader AI supply chain. Beyond the buying-opportunity comment, Nvidia used the trip to deepen ties across a critical ecosystem. On June 7, Nvidia and SK hynix announced a multiyear technology partnership to co-develop advanced memory for AI factories, according to a Nvidia press release. SK hynix is Nvidia's primary supplier of high-bandwidth memory for its next-generation Vera Rubin AI accelerators. Separately, Nvidia and LG Group announced plans to build an AI factory supporting LG's robotics, autonomous driving, and cloud services, also confirmed by Nvidia. These are not courtesy visits. They reflect an effort to lock in supply chain relationships across the full stack of AI hardware, from chip memory to physical AI infrastructure.

Why It Matters

The June 5 selloff wiped out more than $1 trillion in semiconductor market value in a single session. That scale of move raises a practical question for retail investors. The KOSPI index fell 5.54% on June 5, with Samsung Electronics losing 6.4% and SK hynix declining 9.92% in that session alone. The interconnected nature of that selloff shows how tightly the AI trade has become concentrated. When a single macro datapoint reshuffles rate expectations, global chip stocks move in lockstep. That concentration is a risk, but it also means that investors willing to hold through volatility can access a broad swath of the AI supply chain through semiconductor ETFs such as the VanEck Semiconductor ETF (NASDAQ:SMH) or the iShares Semiconductor ETF (NASDAQ:SOXX).

Vera Rubin Ramp Adds Near-Term Catalyst

One factor Huang did not need to mention is already priced into the timeline. At Computex 2026 on June 1, Nvidia confirmed that Vera Rubin, the successor to its Blackwell GPU architecture, is in full production, with deliveries beginning in the third quarter of 2026. All three major HBM4 memory suppliers, Samsung, SK hynix, and Micron Technology (NASDAQ:MU), have been qualified and are shipping, Huang confirmed at the event. A product ramp of that scale creates a near-term revenue catalyst that does not depend on rate cuts or macro tailwinds.

Bottom Line

Huang's buying-opportunity call is not a forecast. It is a structural argument grounded in revenue acceleration, supply chain deepening, and a product cycle that is only beginning to ramp. The macro risk is real. Stronger jobs data and a hawkish Fed are not trivial headwinds for a stock trading at elevated multiples. However, investors separating noise from signal will note that Nvidia's fundamentals have not deteriorated.

The selloff reflected a repricing of rate expectations, not a change in AI demand. Still, valuation remains a legitimate concern. Nvidia continues to trade at a premium that prices in years of elevated AI spending, and any slowdown in data center demand would hit the stock hard. The debate for investors is not whether Nvidia is growing, but whether growth can sustain a pace that justifies the multiple. For investors with a multi-quarter horizon, the June 5 pullback may yet be remembered as the entry point Huang described.

Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.