Jensen Huang's recommendation to buy Nvidia stock during a June market pullback has delivered modest returns so far, with the company's shares up just 4% over three months, compared to an 8% gain for a diversified artificial intelligence (AI) basket of major tech stocks. While the CEO's call wasn't a clear winner in the short term, the underlying logic behind his optimism remains grounded in strong business fundamentals and long-term growth potential.

On June 8, Huang told investors to "buy at a discount" as AI stocks experienced a broader pullback. At the time, his advice seemed reasonable for a CEO looking to instill confidence in his company. However, the three-month performance tells a more nuanced story. Nvidia's 4% gain matched the return of the S&P 500 index over the same period, making it difficult to characterize the call as either a clear success or failure.

Why Did Diversified AI Portfolios Outperform Nvidia?

The real surprise came when comparing Nvidia's performance to a balanced approach. An investor who split money equally among Nvidia, Microsoft, Amazon, and Alphabet would have seen an 8% return, according to analysis from The Motley Fool. This outperformance reveals an important lesson about concentration risk in technology investing.

Microsoft was the clear winner in this diversified basket, surging 24% over the three-month period. Alphabet actually declined 5%, while Amazon gained 8%, demonstrating that even within the AI sector, performance varies significantly across companies. The takeaway is straightforward: three months is simply too short a timeframe to evaluate whether any single investment recommendation was wise, especially for long-term investors.

What Do Nvidia's Recent Earnings Reveal About Huang's Optimism?

Despite the modest short-term stock performance, Huang's underlying confidence in AI's growth trajectory appears well-founded. Nvidia's fiscal second quarter 2027 earnings results showed that demand for AI chips remains exceptionally strong. The company reported revenues that rose 18% sequentially from the previous quarter and an impressive 106% year-over-year increase. These numbers suggest that global investment in AI infrastructure continues to accelerate, validating Huang's long-term outlook.

The company's financial metrics also support the case for buying at current valuations. Nvidia trades at a 17.5x price-to-earnings (P/E) ratio, which is below its five-year average of 23x and significantly lower than the S&P 500's 25x P/E ratio. For investors with a multi-year time horizon, this valuation gap suggests potential upside, even if the stock hasn't delivered dramatic gains in recent months.

How to Evaluate Long-Term Investment Calls in Volatile Markets

• Time Horizon Matters: Short-term stock price movements often obscure the validity of long-term investment theses. Huang's recommendation was built on the premise that AI infrastructure buildout would continue for years, not months, making quarterly performance less relevant to the original thesis.
• Valuation Context: Comparing a stock's current P/E ratio to its historical average and to broader market benchmarks helps distinguish between genuine bargains and temporary price dips. Nvidia's current valuation suggests it may still offer value for patient investors.
• Fundamental Growth Trends: Revenue growth of 106% year-over-year indicates that Huang's optimism about AI demand is backed by actual business performance, not just speculation or marketing. This provides credibility to his "buy" recommendation, even if short-term stock performance has been modest.
• Diversification Strategy: While Huang naturally advocates for his own company, a diversified portfolio across multiple AI-focused companies may reduce concentration risk and capture gains from different segments of the AI ecosystem.

Huang's June call to buy Nvidia at a discount was not wrong, but it also wasn't a slam-dunk winner over three months. The real question for investors is whether they believe in the long-term thesis that AI will drive significant economic value across computing platforms. If they do, Nvidia's current valuation and strong revenue growth suggest that Huang's advice could still prove prescient over a longer investment horizon.

The broader lesson here extends beyond Nvidia. In a rapidly evolving technology landscape, CEO recommendations often reflect genuine conviction about market trends, even if they carry an inherent bias toward their own companies. For investors evaluating such calls, focusing on fundamental business metrics, valuation, and long-term industry trends provides a more reliable framework than short-term stock price movements.

What's Next for Nvidia and the AI Chip Market?

Beyond the stock performance debate, Nvidia continues to expand its influence across the AI ecosystem. The company recently announced a $3.5 billion investment in convertible bonds issued by MediaTek, a major semiconductor manufacturer, signaling Nvidia's strategy to extend its technology platform beyond its own chips. This partnership includes collaboration on custom AI accelerators, AI-enabled personal computers, and automotive AI systems, demonstrating that Huang's vision extends far beyond traditional data center chips.

"AI is transforming every computing platform, from the world's largest AI factories to the PC and the car. MediaTek is one of the world's great semiconductor companies, with exceptional expertise in system-on-chip design, connectivity, leading performance and power efficiency," said Jensen Huang, founder and CEO of Nvidia.

Jensen Huang, Founder and CEO of Nvidia

This expansion strategy suggests that Huang's confidence in AI's growth trajectory is not limited to near-term stock performance. Instead, it reflects a conviction that AI infrastructure will become pervasive across consumer devices, enterprise systems, and vehicles over the coming years. For investors considering his June recommendation, this broader strategic context may matter more than whether Nvidia's stock outperformed the S&P 500 in a single quarter.