A recent study by Epoch AI reveals that High Bandwidth Memory (HBM) has become the most expensive component in AI chips, with its share of the total component cost rising from 52% in Q1 2024 to 63% by Q4 2025. This surge in memory costs, driven by intense demand from AI models, is outpacing the cost of logic chips and impacting the capital expenditure plans of major tech companies like Microsoft and Meta. The findings highlight memory supply constraints as a significant bottleneck and cost driver for AI hardware expansion. AI
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IMPACT Highlights memory supply constraints as the primary hardware cost challenge for AI expansion, influencing major tech company investments.
RANK_REASON The cluster reports on a research study analyzing AI chip component costs, specifically the rising share of HBM. [lever_c_demoted from research: ic=1 ai=0.7]