Hyperscalers Lose AI Trade to Memory Chip Stocks
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- HBM shortage is the core bottleneck — SK Hynix holds ~60% share, Samsung and Micron ~20% each — and the supply chain cannot expand fast enough to relieve hyperscaler capex pressure.
- All four hyperscalers (Amazon, Alphabet, Microsoft, Meta) have seen stock declines over the past month while the tech-heavy Nasdaq is up almost 1%; a basket of memory stocks surged 41% in that same window.
- Microsoft and Meta specifically called out higher component pricing on earnings calls as a factor driving their elevated capex numbers, the source notes.
- Capital equipment makers — Applied Materials, Lam Research, and KLA Corp — hold the real intellectual property in the supply chain and cannot ramp output fast enough; Applied Materials CEO Gary Dickerson told the source the company has "unprecedented visibility" from customers.
- Marvell Technology is working with Amazon to co-design custom AI chips as a Nvidia alternative; Nvidia CEO Jensen Huang invested $2 billion in Marvell in March and called it "the next trillion company," while Amazon said its chip business would have a $50 billion annual revenue run rate if standalone.
- Broadcom slid 22% post-earnings on June 3, falling from $479 to $411, confounding the source despite its ongoing partnership with Alphabet's Google to challenge Nvidia.
- The source argues Microsoft may need to merge with OpenAI to compete, Meta needs a cloud business, and the winner of a four-way race (Amazon, Alphabet, Anthropic, OpenAI) will be determined by capital markets access and AI profitability.
Why it matters: Cramer is positioning for a portfolio rotation out of cloud giants and into the semiconductor suppliers feeding the AI buildout — memory, storage, and equipment names — betting that capex-driven margin compression at hyperscalers persists until at least two of them cut spending. The concrete spread — memory stocks up 41% versus all four hyperscalers down over a month while the Nasdaq is roughly flat — is the trade thesis in one number.
