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Despite a surge in rival semiconductor stocks like Marvell (MRVL) at 95%, Micron (MU) at 69%, and Advanced Micro Devices (AMD) at 43%, NVIDIA’s (NVDA) stock has seen only a modest 7% year-to-date increase. This trend suggests investors are broadening their AI investments to include memory, custom silicon, and networking, moving away from a sole focus on NVIDIA.
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NVIDIA faces several challenges: its enormous $4.9 trillion market capitalization makes substantial future growth mathematically difficult, export restrictions in China have led to $4.5 billion in H20 inventory being held back, and the overall investment focus in AI is now diversifying across the entire semiconductor industry instead of being solely centered on NVIDIA.
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By Thursday’s close, NVIDIA (NASDAQ:NVDA) shares were priced at $199.64, marking a mere 7% gain for the year. As of Friday morning, the AI chip giant’s stock hovered just above $200. This performance stands in stark contrast to other semiconductor companies, which are experiencing significant rallies, driven by the very AI innovation NVIDIA initially championed.
The central inquiry holds considerable weight. For NVIDIA’s share price to reach $300, it would need to increase by approximately 50% from its current level, significantly surpassing Wall Street’s average target of $268.61. Given NVIDIA’s 52-week peak was $212.17, a $300 price point does not appear to be an imminent prospect.
This year, all other companies within the sector are driving market momentum. While NVDA stock remains largely stagnant, its semiconductor counterparts are reporting year-to-date (YTD) gains that are either double or triple-digit percentages.
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Figures compiled up to April 23 vividly illustrate this disparity. Year-to-date, Marvell Technology (NASDAQ:MRVL) has climbed 95%, Micron Technology (NASDAQ:MU) 69%, Advanced Micro Devices (NASDAQ:AMD) 43%, Taiwan Semiconductor (NYSE:TSM) 26%, and Broadcom (NASDAQ:AVGO) 22%, contrasting sharply with NVDA’s mere 7% increase.
While the foundational investment argument remains sound, this scenario appears to be a long-term play, potentially unfolding by 2026. Despite NVDA shares showing a 94% increase over the past year and Q4 FY26 revenues hitting $68.13 billion (a 73% year-over-year surge), the stock paradoxically dropped 5% after this announcement, continuing a trend of subdued responses to strong earnings.
Instead of solely focusing on NVIDIA, investors are now spreading their AI-related investments across various segments. This includes allocations to memory, custom silicon, networking solutions, and foundry services, thereby capturing AI capital expenditures without over-reliance on one company.
In Q3 FY26, Marvell reported a 38% year-over-year increase in data center revenue, fueled by more than 50 custom AI design projects with over 10 major cloud providers. Concurrently, Micron’s cloud memory segment almost doubled, reaching $5.28 billion, and Broadcom’s CEO, Hock Tan, has set an ambitious goal of $100 billion in AI sales by 2027.