Price Prediction: Will Nvidia Hit $300 This Year?

The market is no longer debating whether AI capex is real; it is debating who captures the economics once customers start optimizing spend. That favors the highest-attach vendor near term, but it also means NVDA’s multiple is increasingly hostage to evidence of sustained share and mix, not just revenue beats. The more important beneficiaries on a 6-18 month view may be AVGO and TSM: custom silicon increases design complexity, while foundry concentration preserves pricing power even if headline GPU growth slows.

The biggest near-term risk is not a demand collapse but a narrative shift at hyperscalers. If GOOGL and META keep leaning into in-house accelerators, the first-order effect is slower incremental NVDA share gains; the second-order effect is broader margin pressure across the AI stack as customers force lower ASPs and better terms. That would also cap TSM upside because volume may stay high, but concentration and geopolitics prevent investors from paying a premium multiple for it.

Contrarianly, the crowd may be over-fixated on whether NVDA can clear a round-number target by year-end. The more durable question is whether EPS can outrun multiple compression: if growth remains >50% and margins stay near guidance, the stock can compound even without a breakout. What would falsify that view is a guide that merely matches the bar, any gross margin slippage, or a hyperscaler capex update that explicitly prioritizes custom ASICs over general-purpose GPUs.