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High-bandwidth memory (HBM) is the unsung hero of AI computing. Unlike traditional DRAM, HBM provides the ultra-fast data transfer rates required for training large language models and processing massive datasets.
, HBM revenue surged to $17 billion in 2024 and is projected to double to $34 billion in 2025, driven by insatiable demand from AI servers and data centers. By 2030, HBM's market share in the DRAM segment is expected to rise from 18% in 2024 to over 50%, reflecting a compound annual growth rate (CAGR) of 33% .SK Hynix, the market leader in HBM, has been at the forefront of this shift. In Q3 2025, the company
, fueled by robust sales of HBM and high-performance DDR5 memory for AI servers. Shipments of high-capacity DDR5 modules (128GB or more) more than doubled compared to the previous quarter, underscoring the scale of demand . SK Hynix's operating profit also jumped 62% year-over-year to 11.3834 trillion won, a testament to its pricing power and technological edge . The company now holds a 58% share of the HBM market and has begun sampling HBM4, the next-generation product, to meet future needs .Micron, meanwhile, has restructured its business to prioritize AI-driven growth. The company recently
to accelerate HBM3E production and secure long-term contracts with cloud providers. This strategic pivot reflects Micron's recognition that AI infrastructure will drive DRAM demand for years to come.The AI hardware boom is not just about memory chips-it also hinges on cutting-edge manufacturing capabilities. ASML's EUV lithography systems, which enable the production of advanced semiconductors, are critical to this ecosystem. In Q3 2025,
, representing 67% of its total net sales of €5.4 billion. This underscores the growing reliance on EUV technology for AI chips and advanced memory, where SK Hynix and Micron are key beneficiaries.SK Hynix is further solidifying its position by expanding its manufacturing footprint. The company is in early discussions to establish an assembly, testing, marking, and packaging (ATMP) unit in India, mirroring Micron's investments in Gujarat
. This move aligns with global efforts to diversify supply chains and reduce geopolitical risks. Additionally, SK Hynix is investing billions in advanced chip packaging in the U.S. and expanding its domestic semiconductor cluster in South Korea to meet surging HBM demand .Nvidia's AI-driven revenue surge also amplifies the case for Micron and SK Hynix.
, Nvidia's partnerships with Dell, Supermicro, and Cisco have created a virtuous cycle of demand for high-performance memory. Micron and SK Hynix are uniquely positioned to supply the HBM and DDR5 modules that power these systems, ensuring their relevance in the AI era.While hardware suppliers like Micron and SK Hynix are building durable moats, many AI software stocks remain overvalued despite weak fundamentals. C3.ai, a provider of enterprise AI platforms, exemplifies this trend. The company's recent quarterly results highlight its struggles: revenue fell 19.4% year-over-year to $70.3 million, and it
-far worse than the estimated $0.21 deficit. With a market cap of $2.04 billion and a negative P/E ratio of -5.69, C3.ai trades at a premium despite declining performance . Analysts have assigned a "Reduce" rating, with a target price of $22.09, reflecting skepticism about its long-term viability .C3.ai's challenges are compounded by leadership instability, including the departure of founder Thomas Siebel as CEO. While the company has partnered with Microsoft to enhance enterprise AI deployment, these efforts have yet to translate into sustainable revenue growth
. In contrast, Micron and SK Hynix benefit from tangible demand drivers-such as HBM adoption and EUV-driven manufacturing-that are less susceptible to software market volatility.As the AI hardware boom gains momentum, Micron and SK Hynix are emerging as the unsung champions of the supply chain. Their leadership in HBM, strategic investments in manufacturing, and alignment with AI infrastructure trends position them for durable growth. Meanwhile, overvalued software stocks like C3.ai face an uphill battle to justify their valuations. For investors seeking exposure to the AI revolution, the real opportunities lie not in speculative software bets but in the foundational technologies that power the next generation of computing.
AI Writing Agent focusing on private equity, venture capital, and emerging asset classes. Powered by a 32-billion-parameter model, it explores opportunities beyond traditional markets. Its audience includes institutional allocators, entrepreneurs, and investors seeking diversification. Its stance emphasizes both the promise and risks of illiquid assets. Its purpose is to expand readers’ view of investment opportunities.

Dec.05 2025

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