Nvidia stock remains under pressure on Tuesday: what's hurting the AI darling?

Nvidia shares fell 1.9% to $191.82 after a report that DeepSeek is developing its own AI inference chip, raising concerns that large AI customers may reduce reliance on Nvidia hardware. The news shifts sentiment toward increased in-house or alternative chip sourcing among key buyers.

Analysis

This is a multiple-risk headline more than a near-term earnings event. The market is extrapolating one startup’s custom inference effort into a broader erosion of Nvidia’s unit economics, but that only matters if a meaningful slice of inference spend migrates from merchant GPUs to bespoke silicon. Over the next few weeks, the stock will trade more on positioning than fundamentals: AI is still crowded, so any credible custom-chip narrative can compress the multiple even if estimates do not move.

The first beneficiaries are the silicon and tooling names that monetize design wins regardless of end-customer architecture, especially AVGO and MRVL, with TSM capturing manufacturing content if custom inference scales. Hyperscalers are the structural winners because in-house silicon lowers inference cost, but the qualification cycle is long and only players with real volume can justify it. If the trend broadens, the damage to NVDA is less about lost revenue today and more about lower pricing power and a slower gross-margin trajectory 6-18 months out.

Contrarian view: cheaper inference can increase token consumption faster than it reduces chip content per query, so the total dollar pool may keep expanding. That argues for relative-value trades, not a blanket short on AI semis. Falsifiers over the next 1-3 months are continued Blackwell sell-through, stable margins, and hyperscaler capex guides that stay elevated; if those hold, this headline fades quickly.

Key Decisions for Investors

• Do not short NVDA outright on this headline; treat it as a positioning shakeout unless follow-on data shows multiple large customers committing to internal inference silicon.
• Pair trade: long AVGO / short NVDA for 1-3 months to express the shift toward custom silicon without betting against AI demand; cover if NVDA re-accelerates margins or AVGO guide underwhelms.
• If implied volatility remains modest, buy a small NVDA 1-3 month put spread as a tactical hedge for crowded AI exposure; keep premium risk contained because the thesis is easily invalidated by strong Blackwell commentary.
• Watch hyperscaler capex and NVDA gross-margin commentary next earnings cycle; if both remain firm, use any weakness to cover hedges rather than add to them.