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NVIDIA (NVDA) Shares Higher After Jim Cramer Criticized Sellers

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NVIDIA (NVDA) Shares Higher After Jim Cramer Criticized Sellers

Shares of NVIDIA are up 56% over the past year and 45.5% since Jim Cramer discussed the stock in March 2025; the company briefly became the first to reach a $5.0 trillion market cap on Oct. 29. CEO Jensen Huang announced $500 billion in AI chip orders and his developer comments drove intraday moves (+4.9% on Oct. 28, +2.9% on Oct. 29), but the stock fell ~4% on Mar. 26 after a federal judge certified a class-action suit alleging misrepresentation of 2017-2018 crypto revenues. Cramer remains bullish (saying the stock trades near ~19x earnings and citing $1T TAMs for cloud, AVs, robots), while the article flags alternative AI picks as potentially less risky/undervalued.

Analysis

NVIDIA’s architectural lead produces asymmetric second-order winners: premium logic and packaging suppliers (leading-node foundries and substrate specialists) and regional specialty fabs that can capture backbook orders from customers seeking tariff-resistant capacity. That bifurcation favors vendors that earn steady, higher-margin revenue from long-cycle capital equipment and wafer agreements rather than spot GPU ASP swings; Tower Semiconductor (TSEM) is an idiosyncratic beneficiary of onshoring because its addressable demand is less elastic to spot GPU pricing and more sensitive to tariff-driven reshoring incentives. The primary near-term reversal vectors are demand pacing and policy fragmentation. Over days-to-months, guidance misses or a visible slowdown in hyperscaler data-center order cadence will compress sentiment quickly; over 6–18 months, competitor ASIC traction and inventory digestion can re-rate growth multiples even if secular AI demand remains positive. Tail risks (trade controls, coordinated antitrust actions, adverse legal rulings) are low-probability but high-impact events that would structurally reroute supply chains and force revaluation of TAM assumptions. From a positioning standpoint the consensus is long-duration, convex exposure to a single vendor; the smarter exposure is convexity with optionality across the supply chain. Buying long-dated, capped upside on the leader while simultaneously owning regional-foundry exposure and compact hedges monetizes both the continuing AI upcycle and the non-linear risks of supply-chain, policy, and competitive shocks.