It's earnings day for NVIDIA (NVDA), and the chip giant is once again at the center of a debate that's becoming a recurring theme on Wall Street: Is the AI boom enough to overcome supply constraints and rising competition?
NVIDIA is scheduled to report quarterly results today, May 20, 2026. Wall Street expects revenue of $78.67 billion and earnings of $1.76 per share. But the real question is whether the company can deliver enough upside to justify its massive valuation.
Let's break down what analysts are saying ahead of the print.
The Bear Case: Supply Constraints Are a Real Problem
Seaport Research Partners analyst Jay Goldberg isn't buying the hype — at least not for the near term. He told CNBC on Tuesday that NVIDIA could underperform the broader semiconductor sector, even with AI demand still roaring.
Goldberg's main concern is supply. NVIDIA is effectively sold out, and its manufacturing partner, Taiwan Semiconductor Manufacturing Co. Ltd. (TSM), has limited capacity. That means NVIDIA can't just crank up production to meet demand, which caps its ability to deliver earnings surprises beyond already elevated expectations.
And here's the kicker: Those supply constraints are creating openings for rivals. Goldberg pointed to Intel Corp. (INTC) and Advanced Micro Devices (AMD) as companies that could gain share in AI accelerators and data center chips. He also flagged Alphabet Inc. (GOOGL) as a growing threat, as adoption of Google's TPUs expands across the AI infrastructure market.
Goldberg expects NVIDIA to beat estimates and modestly raise guidance, but he doesn't think the results will materially change the company's long-term valuation narrative. In other words, the stock might already be priced for perfection.
The Bull Case: NVIDIA Is Still the Engine of AI
On the other side of the coin, Goldman Sachs chief U.S. equity strategist Ben Snider sees NVIDIA as the single most important indicator of AI infrastructure spending trends. He told CNBC on Wednesday that NVIDIA has contributed about 20% of the S&P 500's gains and of this year's projected earnings growth.
Snider argues that the current AI-driven rally is different from past speculative market periods because strong earnings growth — not just momentum — is supporting valuations. Investors across asset classes still treat NVIDIA as a barometer for the durability of AI-related capital spending and accelerated computing demand.
That said, even the bulls are cautious about concentration risk. Snider noted that Goldman Sachs is encouraging investors to diversify into sectors like utilities and energy to reduce exposure tied to AI momentum.
The Long View: Free Cash Flow and AI Infrastructure
John Belton of Gabelli Funds takes a longer-term perspective. He told CNBC on Tuesday that NVIDIA's earnings will likely reinforce the strength of AI infrastructure spending, even if the quarterly results themselves appear relatively routine.
Belton said NVIDIA has repeatedly exceeded expectations in recent quarters and continues benefiting from sustained AI capital expenditure trends. Rather than focusing on quarterly numbers, he's watching to see whether NVIDIA expands its position across cloud infrastructure, networking, and enterprise AI deployments.
One number that caught his attention: NVIDIA's growing free cash flow generation. Belton said the company could produce more than a trillion dollars in cumulative free cash flow over the next several years, giving it significant flexibility for future investments and shareholder returns.
He also noted that most AI infrastructure spending still comes from highly profitable companies that fund projects internally rather than through external financing — a sign that the spending spree might have more staying power than some fear.
What to Watch Today
NVIDIA shares were up 1.70% at $224.36 during premarket trading on Wednesday, suggesting investors are cautiously optimistic. But the real action will come after the close, when the numbers hit the tape.
Key things to watch: revenue guidance, commentary on supply constraints, and any updates on competition from custom chips like Google's TPUs or AMD's MI-series accelerators. If NVIDIA can show it's navigating the supply chain better than expected, the bulls might have the last word. If not, the bears will have their day.
