

BlackRock strategist Wei Li remains optimistic about the AI trade ahead of Nvidia’s quarterly earnings, noting Nvidia as a “scarcity seller” with evidence of “earnings pricing power” from recent price increases. The commentary suggests investors are leaning toward continued earnings momentum for AI-related equities while awaiting the Nvidia print.
The incremental signal is not that AI demand is healthy; it is that the pricing pool is still tight enough for the platform owner to extract value without visible demand destruction. That matters because the next leg of earnings upside in semis is likely to come from gross-margin durability and mix, not just unit growth, which is why NVDA still screens as the cleanest expression of AI scarcity over the next 1-3 months.
Second-order, this is a relative-value story across the AI stack. If the leader can keep repricing, the economics shift away from assemblers and system integrators with lower margin pass-through and toward the IP owner and, later, the equipment vendors that help expand capacity. The risk is that sustained scarcity pricing accelerates internal build efforts at hyperscalers and custom silicon programs, which is how the moat erodes over 6-18 months even if the next print looks strong.
The market is probably most vulnerable to a "good but not better" outcome: strong demand, but a guide that implies supply is catching up or that margin leverage has peaked. In that case, the stock can de-rate even on a beat because positioning is already leaning into AI as a crowded consensus trade. BLK's commentary is useful mainly as a flow signal; it can reinforce allocators' willingness to buy the basket, but it does not change the fundamental question of whether current pricing power is sustainable past this earnings cycle.
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