Articles / institutional-equities / Why the AI bull market's obsession shifted away from Nvidia to memory chip makers
Why the AI bull market's obsession shifted away from Nvidia to memory chip makers
May 14, 2026 · Source: cnbc.com · Topic:
institutional-equities · venture-startup-funding · geopolitical-risk-supply-chain
Micron Stock Surge
80%
Increase in Micron's stock price over the past month
Intel Stock Rise
85%
Increase in Intel's stock price over the past month
SanDisk Stock Increase
52%
Increase in SanDisk's stock price over the past month
⦿ Executive Snapshot
- What: The AI bull market has shifted its focus from Nvidia to memory chip makers due to changes in AI system architecture.
- Who: Key players include Micron, SanDisk, Intel, Nvidia, AMD, and Meta.
- Why it matters: This shift indicates a growing trend towards CPU utilization in AI, which could reshape technology infrastructure and investment strategies in the sector.
⦿ Key Developments
- Micron's stock has surged 80% over the past month, while Intel and SanDisk have risen 85% and 52%, respectively.
- Morgan Stanley analysts predict that agentic AI will increase the CPU-to-GPU mix in AI systems, enhancing overall system complexity and infrastructure spending.
- Meta announced its usage of tens of millions of Graviton CPUs from Amazon, emphasizing the need for more CPUs in AI infrastructure.
- AMD secured a $60 billion deal with Meta to supply chips, highlighting the strategic importance of CPUs in AI orchestration.
- Researchers have successfully reproduced AI model results using less-advanced models through orchestration, challenging the notion that GPUs are essential for AI performance.
⦿ Strategic Context
- The historical reliance on GPUs for AI tasks is being challenged as orchestration becomes a key focus, changing the landscape of chip demand.
- The narrative is shifting towards a more diversified approach in AI infrastructure, where traditional CPUs are gaining prominence alongside GPUs.
⦿ Strategic Implications
- Immediate market consequences may include increased investment in CPU manufacturing and a reevaluation of chip supply chains.
- Long-term implications could involve a fundamental shift in how AI systems are designed and implemented, potentially leading to new market leaders in CPU technology.
⦿ Risks & Constraints
- Regulatory challenges related to semiconductor manufacturing and trade policies could impact the supply chain for chips.
- Competition among chipmakers and the potential for technological obsolescence may pose risks to investment in traditional CPU technologies.
⦿ Watchlist / Forward Signals
- Upcoming product launches and partnerships in the CPU space, particularly those related to AI orchestration, will signal market trends.
- Monitoring investor sentiment and stock performance of CPU manufacturers like AMD and Micron will provide insights into the evolving AI landscape.
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