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Nvidia, ON Semiconductor shares drop amid AI chip sell-off

Nvidia, ON Semiconductor, and Intel stocks fell in a chip sell-off, but their strong fundamentals may make them bargains. Investors willing to take risks could buy these AI chip stocks at lower prices

3 Beaten-Down AI Chip Stocks to Consider Buying in the Sell-Off
Nasdaq News โ€” 26 June 2026
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**Nvidia, ON Semiconductor and Intel have slumped in a broader chip sell-offโ€”but some investors see bargains.** The downturn in AI chip stocks has de

Read Full Story at Nasdaq News โ†’
โšก Quickyla Analysis Original editorial context โ€” not sourced from the article above

Why This Matters

The recent pullback in AI chip stocks presents a pivotal moment for investors betting on long-term technological dominance. While short-term volatility may deter cautious traders, the fundamental strength of these companiesโ€”rooted in their critical roles in AI infrastructureโ€”suggests the sell-off could be an opportunity rather than a warning. The dip underscores the cyclical nature of semiconductor valuations, where temporary headwinds often obscure the enduring demand for next-generation computing power.

Background Context

The AI chip industry has been a high-flyer since the 2020s, driven by explosive growth in generative AI, cloud computing, and data center expansion. Nvidiaโ€™s near-monopoly in AI accelerators, ON Semiconductorโ€™s niche strength in power management for edge devices, and Intelโ€™s pivot to foundry services and AI chips reflect divergent but equally strategic positions in the ecosystem. Yet, even industry leaders are not immune to broader macroeconomic pressures, including rising interest rates and cautious corporate spending on capital expenditures.

What Happens Next

Expect further consolidation in the AI chip sector as weaker players struggle with R&D costs and competition, while dominant firms like Nvidia double down on their moats through vertical integration. The Federal Reserveโ€™s interest rate trajectory will be a key catalystโ€”lower borrowing costs could reignite M&A activity and accelerate deployment of AI workloads across industries. Meanwhile, watch for earnings guidance from these companies in the next quarter to gauge whether the sell-off was overblown or a harbinger of sustained demand softening.

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