Top 3 AI Infra Stocks to BUY NOW in 2026 (Over Nvidia)
AI infrastructure isn’t just about GPUs anymore. In 2026, the real bottleneck may be memory.
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My name's Kuran Francis, and in this video, I break down three AI memory stocks positioned around High-Bandwidth Memory (HBM), hyperscaler capex growth, and rising data center complexity: Micron (MU), Samsung Electronics (SSNLF), and Rambus (RMBS). I also cover a bonus name, Amkor Technologies (AMKR), and where it fits in the AI chip supply chain.
We’ll cover why AI servers require high-speed memory like HBM3E and HBM4, how infrastructure spending from Amazon, Microsoft, Meta, and Alphabet is driving memory demand, and the difference between HBM, DRAM, and DDR5. We’ll also talk about memory market cyclicality versus structural AI demand, how supply constraints create pricing power, and what would actually break the thesis. Especially as hyperscalers like Google, Amazon, Meta, and Microsoft are set to spend hundreds og billions of dollars an AI datacenter buildouts using products from these memory companies as well as GPU companies like Nvidia and AMD or manufacturers like TSMC.
If you’re researching AI memory stocks, top semiconductor stocks in 2026, AI infrastructure stocks, HBM shortage plays, or stock analysis for Micron, Samsung, and Rambus, this video walks through the full framework from start to finish.
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I am not a financial or investment advisor. Everything in this video is for entertainment purposes only. Links above include affiliate commission or referrals, and I receive compensation from partnering websites. The video is accurate as of the posting date but may not be accurate in the future.
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