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Milk Road AI
@MilkRoadAI
Helping millions of investors navigate the AI markets. Capitalize on the biggest technological change in history across the infrastructure & app layers of AI.
Joined October 2025
420 Following    50.5K Followers
Jensen Huang just pushed back HARD on the memory oversupply fears. Speaking to CNBC at GTC Berlin, the $NVDA CEO said he does not see a surplus of memory by 2029, even after the selloff in memory stocks this past week. "One of the things that's really great about memory is that you can always use more of it," he said. He added that HBM will be used for years to come, and pointed out that Nvidia was the first company to bring LPDDR into the data center. The selloff started after a Korean newspaper column predicted a memory price war by 2029, and it dragged down $MU, Samsung and SK Hynix. When the biggest buyer of AI memory on the planet tells you demand keeps growing, I would take that more seriously than an opinion column.
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The HBM market is setting up for one of the BIGGEST supply demand imbalances in the entire AI buildout. Just look at what Bloomberg Intelligence is projecting. HBM shipments could grow from roughly 2.5 billion GB in 2025 to nearly 18 billion GB by 2030. That's approximately a 7X increase in volume in just FIVE years. Normally, when an industry dramatically increases production, you would expect prices to decline as supply catches up with demand. Yet Bloomberg's projections are showing the complete opposite. Average HBM prices are expected to climb from roughly $13 per GB in 2025 to $35 per GB by 2030. Think about how insane that is. We're potentially looking at a market where shipments increase roughly 7X while average selling prices nearly triple. And this is exactly why I'm so bullish on memory. Every new generation of AI accelerators requires increasingly sophisticated memory to deliver the bandwidth needed to keep those GPUs running efficiently. And as models become larger, inference workloads explode, and autonomous agents and physical AI begin scaling, the demand for memory is only going to accelerate. What makes HBM particularly interesting is that supply cannot simply expand overnight. Manufacturing HBM requires advanced packaging, complex stacking processes, enormous capital investment, and significant production capacity. Not to mention, expanding HBM production can consume manufacturing capacity that would otherwise go toward conventional DRAM, potentially tightening supply across the broader memory market as well. This is why I continue to believe memory is one of the most attractive opportunities in the AI infrastructure trade.
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