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3 Artificial Intelligence Stocks to Buy and Hold Through 2035
Yahoo Finance· 2025-10-27 09:45
Group 1: Nvidia - Nvidia holds a remarkable 94% market share in the GPU market, which is essential for AI infrastructure [3] - The company's competitive advantage stems from its CUDA software platform, which facilitates programming for its chips beyond their original graphics rendering purpose [4] - Nvidia strategically introduced CUDA in universities and research labs, leading to foundational AI code being developed on its platform, creating a strong dependency among developers [5] - The company developed NVLink, a proprietary interconnect system that enhances chip performance by allowing them to function as a single unit, and its acquisition of Mellanox has expanded its networking capabilities [6] - With increasing AI infrastructure spending anticipated over the next decade, Nvidia is well-positioned for significant growth [7] Group 2: ASML - ASML possesses a monopoly on extreme ultraviolet lithography (EUV), a critical technology for manufacturing advanced chips, which are vital for AI and smartphone applications [8] - The semiconductor equipment manufacturing sector can experience volatility, but ASML is expected to see robust growth over the next decade due to the rising demand for advanced chips and the introduction of high numerical aperture (high-NA) EUV technology [9] - ASML's unique position in the market underscores its importance to the semiconductor industry and its role in supporting companies like Nvidia [10]
ASML Stock Rally Justified by AI-Driven Chip Expansion, Says Bernstein
Yahoo Finance· 2025-10-14 20:41
ASML Holding N.V. (NASDAQ:ASML) is one of the Trending AI Stocks on Wall Street. On October 9, Bernstein raised the firm’s price target on the stock to $935 from $743 and kept a Market Perform rating on the shares. The firm cited an improved 2026 outlook behind the rating affirmation. ASML rallied over 50% in the past two months, driven by several positive industry developments. From Samsung restarting its Taylor fab, to TSMC accelerating U.S. capacity buildout, and expectations of an HBM and DRAM upcycle ...