Is Nvidia Still a Millionaire-Maker?

Nvidia’s latest full-year results reportedly surpassed $215B in revenue, with Q/period revenue up 85% to $81B and net income up more than 200% to $58B, reinforcing its AI chip leadership. Despite the stock being up over 800% in five years and recent AI-stocks valuation worries, the article argues NVDA still has room to run and notes it trades at ~21x forward earnings, calling it “dirt cheap.” The piece also flags that Nvidia wasn’t selected among the Motley Fool Stock Advisor’s 10 best stocks, implying a more selective/tempered near-term view.

Analysis

This piece is mostly a sentiment check, not a new fundamental catalyst. For NVDA, the market issue is no longer whether the company wins AI spend; it is whether growth can keep outrunning the scrutiny that comes with a very large market cap. At this size, the stock behaves less like a narrative compounder and more like a long-duration asset: every print has to defend the growth multiple, and even a small slowdown can matter more than another good quarter.

The second-order winners are the monetizers and infrastructure toll-takers rather than the pure chip story. MSFT and AMZN have the cleaner path to turning AI demand into recurring revenue, while broader semiconductor exposure via SMH or SOXX captures the capex cycle without single-name disappointment risk. If the market starts demanding ROI instead of spend growth, custom silicon efforts and lower-quality AI-adjacent names should outperform on relative valuation, while NVDA becomes more vulnerable to any pause in hyperscaler budgets.

Contrarian take: the consensus still treats NVDA as if the upside must come from another explosive re-rating, but the more realistic path is steady compounding. That means the stock’s upside is likely smaller and slower than the AI bull case implies, while downside from a guide miss, margin normalization, or higher real yields can show up quickly. The key falsifier is not an abstract AI thesis break, but evidence that forward estimates stop moving up or that cloud capex growth decelerates for more than one quarter.

Key Decisions for Investors

• Do not initiate a fresh outright NVDA long here; wait for a post-earnings or sector-wide pullback and require forward estimate revisions to stay positive before adding.
• Pair trade for 1-3 months: long MSFT / AMZN versus short NVDA if the market keeps rotating toward AI monetization over AI infrastructure. Thesis breaks if NVDA guide re-accelerates or hyperscaler capex comes in above trend.
• Use SMH or SOXX instead of single-name NVDA for core AI exposure over 6-12 months to reduce idiosyncratic earnings risk while keeping beta to the buildout cycle.
• For existing NVDA longs, consider covering with calls into the next earnings window; that monetizes volatility while protecting against a sharp multiple reset on any guidance miss.