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10 AI Stocks I'd Buy Right Now
The Motley Fool· 2025-11-27 14:00
Core Insights - AI stocks have experienced a significant sell-off over the past 30 days, leading to potential bargains for long-term investors [1][2] - The infrastructure buildout for AI is accelerating, creating opportunities for investors willing to buy during market corrections [2][16] Company Summaries - **Alphabet (GOOGL)**: Competes with Nvidia through its Tensor Processing Unit (TPU) chips, holding a market cap of nearly $4 trillion and strong positions in AI software and hardware [3][4] - **SoundHound AI (SOUN)**: Develops conversational AI software for various applications, presenting an attractive entry point as a pure-play voice AI stock [5] - **Navitas Semiconductor (NVTS)**: Designs power semiconductors that support Nvidia's next-gen data centers, offering exposure to AI infrastructure at lower valuations [6] - **Applied Digital (APLD)**: Transitioned from Bitcoin mining to AI data centers, providing long-term revenue visibility through contracts with AI cloud providers [7] - **Nvidia (NVDA)**: Dominates the AI workload market with its GPUs, maintaining a reasonable valuation despite past performance [8] - **IREN**: Operates renewable-powered data centers for GPU cloud services, securing a significant contract with Microsoft [9] - **Nebius Group (NBIS)**: Offers AI infrastructure solutions and has secured approximately $20 billion in contracts with major tech companies [10][12] - **CoreWeave**: Operates a cloud platform tailored for AI, with substantial revenue commitments from leading firms [12] - **ASML Holding (ASML)**: Manufactures essential lithography machines for semiconductor production, holding a monopoly position in the AI chip market [13] - **Advanced Micro Devices (AMD)**: Designs CPUs and GPUs for various applications, providing a more reasonably valued alternative to Nvidia [14][16] Market Context - The recent sell-off in AI stocks reflects market skepticism rather than a decline in demand, with hyperscaler capital expenditures increasing and backlogs expanding [16][17]