$DRAM reaching $6.5B in just 36 days is not just an ETF success story. It’s a signal about where global capital believes the next economic bottleneck will be. And interestingly, it surpassed even the early growth pace of BlackRock’s $IBIT Bitcoin ETF. That’s massive. Because Bitcoin ETFs represented institutional acceptance of a new asset class. But the AI trade is being treated differently. This isn’t investors chasing a speculative narrative anymore. This is capital racing to secure exposure to the infrastructure layer powering the next computation cycle. The market is slowly realizing something important: AI is no longer just a software story. It’s becoming a hardware, energy, memory, and compute-capacity story. That’s why semiconductor, memory, and data infrastructure plays are absorbing enormous flows right now. The AI boom keeps expanding outward: models → chips → memory → power grids → data centers → networking → sovereign compute. And honestly, this may explain why crypto AI narratives have also started outperforming again recently. Because once Wall Street aggressively prices the AI infrastructure cycle, capital naturally begins searching for asymmetric AI exposure elsewhere too: $TAO $ICP decentralized compute, data markets, GPU coordination layers. The important part is this: Markets usually don’t move this aggressively unless institutions think the trend has multi-year implications. $IBIT was about financial adoption. $DRAM’s explosion feels more like technological urgency. And when capital starts moving with urgency, valuations stop being driven by current revenues alone. They start being driven by fear of missing the next foundational platform shift. #TrumpRejectsIranDeal #WarshTakesFedChair #BitcoinETFMSBTStreak