AI Memory Chip Shortage Intensifies as Tech Spending Projected to Reach $650B in 2026
Market research firm IDC describes the current AI memory chip shortage as unprecedented crisis, as tech companies prepare to spend approximately $650 billion on computing infrastructure in 2026, up 80% year-over-year.
March 2026 — Market research firm IDC released a report stating that AI memory chips are facing an unprecedented shortage crisis. With AI development accelerating, tech companies are expected to invest approximately $650 billion in computing infrastructure in 2026, representing 80% year-over-year growth.
An Unprecedented Chip Shortage
"The current shortage is unlike anything we've seen before," IDC analysts wrote in the report. "The rapid advancement of AI technology is consuming memory chip production capacity at an unprecedented rate."
AI workloads, particularly large language model training and inference, have driven exponential growth in demand for High-Bandwidth Memory (HBM). HBM is a high-performance memory technology that provides several times the data transfer bandwidth of traditional DRAM, making it an essential component for AI chipsets.
Samsung Electronics and SK Hynix are the world's leading HBM producers, with both companies actively expanding production capacity to meet market demand. However, capacity expansion takes time, and the short-term supply-demand imbalance remains difficult to resolve.
$650 Billion Infrastructure Investment
The IDC report shows that global tech company investment in computing infrastructure is projected to reach $650 billion in 2026, approximately double the 2023 figure. Investment priorities include:
AI data center construction
High-performance GPU procurement
Advanced process chip manufacturing
Memory chip capacity expansion
AI data center construction
High-performance GPU procurement
Advanced process chip manufacturing
Memory chip capacity expansion
Tech giants are racing to deploy AI infrastructure. Cloud computing providers like Microsoft, Google, and Amazon, along with AI companies like OpenAI and Anthropic, are all heavily investing in compute power.
Opportunities and Challenges for the Supply Chain
For chip manufacturers, the AI memory shortage presents both challenges and opportunities. Samsung Electronics and SK Hynix are investing heavily to expand HBM capacity, but new fab construction typically takes 18 to 24 months.
"Memory suppliers are working around the clock to meet demand," industry analysts noted. "However, given the pace of AI development, capacity expansion still cannot keep up with demand growth."
Upstream equipment manufacturers are also benefiting. Semiconductor equipment companies like ASML and Applied Materials continue to see strong order flow, with key equipment delivery cycles already extended to 12 months or more.
Outlook: Shortage to Persist
Industry consensus is that the AI memory chip shortage will continue through 2027 or beyond. As more AI applications enter commercialization, demand for high-performance memory will only continue to grow.
For downstream AI companies, this means chip procurement needs to be planned well in advance, or alternative solutions must be found. Some companies are exploring new memory architectures to reduce dependence on traditional HBM.
参考来源：Yahoo Finance、IDC报告