Nvidia sees buying opportunity as AI demand offsets macro fears
Nvidia Corp CEO Jensen Huang stated on June 8 in Seoul that the recent semiconductor selloff represents a buying opportunity, citing strong structural fundamentals and the early stages of the AI infrastructure buildout. The remarks followed a sharp decline on June 5, where Nvidia shares fell 6.2% to $205.10, erasing roughly $13.56 per share, and the Nasdaq composite dropped 4.2%. Huang argued that the move was a repricing of rate expectations rather than a change in AI demand, supported by the company's accelerating revenue and deepening supply chain ties.
*this image is generated using AI for illustrative purposes only.
Nvidia Corp CEO Jensen Huang stated on June 8 in Seoul that the recent semiconductor selloff represents a buying opportunity, citing strong structural fundamentals and the early stages of the AI infrastructure buildout. The remarks followed a sharp decline on June 5, where Nvidia shares fell 6.2% to $205.10, erasing roughly $13.56 per share, and the Nasdaq composite dropped 4.2%. Huang argued that the move was a repricing of rate expectations rather than a change in AI demand, supported by the company's accelerating revenue and deepening supply chain ties.
The June 5 market decline was triggered by a U.S. nonfarm payrolls report showing the economy added 172,000 jobs, significantly exceeding the 85,000 consensus forecast. The strong labor market reduces the likelihood of Federal Reserve rate cuts, which compresses valuations for high-multiple growth stocks. Despite this macro pressure, Huang emphasized that the underlying business fundamentals remain robust and that AI will become global infrastructure "just like the internet was infrastructure for the world."
Nvidia's financial performance provides the basis for this confidence. 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, a 92% increase from the same period a year earlier. Additionally, Nvidia provided guidance for second-quarter revenue of approximately $91 billion, indicating sequential acceleration that has not yet shown signs of slowing.
Strategic Partnerships and Supply Chain
Beyond the financial results, Nvidia is actively securing its supply chain through strategic partnerships. On June 7, Nvidia and SK hynix announced a multiyear technology partnership to co-develop advanced memory for AI factories. SK hynix serves as 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.
Market Impact and Technical Analysis
The June 5 selloff wiped out more than $1 trillion in semiconductor market value, highlighting the concentration of the AI trade. The KOSPI index fell 5.54%, with Samsung Electronics losing 6.4% and SK hynix declining 9.92%. Nvidia is sitting in a tight technical spot: it's about 5.7% below its 20-day SMA ($218.21), but essentially flat versus its 50-day SMA ($205.01). The longer-term trend remains up, with the stock 6% above the 100-day SMA ($194.25) and 9% above the 200-day SMA ($188.91).
Looking ahead, Nvidia confirmed at Computex 2026 on June 1 that the Vera Rubin 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—have been qualified and are shipping, creating a near-term revenue catalyst independent of macroeconomic conditions.
| Metric | Value |
|---|---|
| Q1FY27 Revenue | $81.6 billion |
| YoY Revenue Growth | 85% |
| Data Center Revenue | $75.2 billion |
| Data Center YoY Growth | 92% |
| Q2 Revenue Guidance | ~$91 billion |
| June 5 Share Price Decline | 6.2% |
| Closing Price June 5 | $205.10 |
How will the delay in Federal Reserve rate cuts impact the capital expenditure budgets of Nvidia's major hyperscaler customers over the next fiscal year?
Can Nvidia maintain its current revenue growth trajectory once the initial wave of AI infrastructure buildout transitions to ongoing maintenance and upgrade cycles?
What are the potential risks to Nvidia's supply chain if geopolitical tensions disrupt the critical memory partnerships established with SK hynix and Samsung?





























