Micron surged 18% pre-market, the 2x Long DRAM ETF traded $383 million on its first day, and SK Hynix is about to list in the US—the "super cycle" narrative for memory chips is finding its mirror in the crypto market.

Goldman Sachs compares the AI trade to a "stretched rubber band," with hardware supplier expectations maxed out and cloud giants under heavy capital expenditure pressure. But the structural demand for memory chips comes from HBM and AI data centers, making it hard to falsify in the short term. The mapping path in crypto is direct: tokenization of chips, cost transmission from mining machines, and the frenzy of leveraged ETFs.

RAM ETF saw $383 million in turnover on its first day, with 90% of SKHX whales bullish. On-chain derivatives are now pricing AI hardware. However, JPMorgan has warned of crowded AI trade risks, and capital outflows from low-quality growth stocks could trigger a rapid correction. If the memory super cycle faces demand slowdown or interest rate pressure, leveraged positions will liquidate before spot.

The resonance between crypto markets and AI hardware is deepening, but there is a layer of leverage and tokenization premium in between. If tonight's core PCE data surprises to the upside, the fragile links in this transmission chain will be exposed first.
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