Nvidia Stock Won't Be Overvalued by 2028: My Case for Buying NVDA Today

Market impact: Mildly bullish for NVDA over the medium to long term, but limited as an immediate catalyst.

The article is an investment thesis rather than a new fundamental disclosure. Its key market implication is that Nvidia’s valuation should be assessed against forward earnings growth, not headline P/E multiples. The cited valuation is in the low-20s on forward earnings, while the thesis assumes substantial revenue expansion through 2028 and continued high margins.

For NVDA, this supports a multiple-decompression thesis: the stock could produce acceptable returns even without further P/E expansion if earnings and free cash flow grow rapidly enough. That is constructive for longer-duration investors and may reinforce bullish positioning across the AI infrastructure trade, including semiconductor equipment, networking, memory, and data-center suppliers.

The central risk is that the valuation argument is highly dependent on forecast execution. The article cites expectations ranging from roughly $550 billion of 2028 revenue to management’s more aggressive scenario near $670 billion. That gap highlights substantial expectation risk: any moderation in hyperscaler capital spending, AI monetization, Nvidia’s market share, or gross margins could cause investors to apply a lower earnings multiple as well as reduce estimates.

Near-term interpretation:

likely neutral to modestly bullish, because the article may help support sentiment after strong earnings and guidance, but it does not itself change estimates, orders, policy, or cash flows. Its bullish effect is therefore more relevant to positioning and investor conviction than to immediate price discovery.

Bullish scenario:

AI accelerator demand remains structurally strong, Nvidia preserves its software and platform advantages, and earnings growth outpaces the market’s current valuation expectations. In that case, today’s multiple could fall mechanically as earnings compound.

Bearish scenario:

hyperscalers shift more spending toward custom silicon, AI inference becomes more cost-sensitive, competition erodes pricing power, or export controls restrict addressable demand. A simultaneous slowdown in growth and margin compression would make the current valuation appear materially less attractive.

Traders should monitor Nvidia’s next guidance revisions, data-center revenue growth, gross-margin trajectory, hyperscaler capital-expenditure plans, competitive share gains by AMD and custom-chip providers, export-policy developments, and evidence that AI customers are generating sufficient returns to sustain spending.