Agentic AI's repeated context favors cache memory and storage demand for Micron, SK hynix and Sandisk over fresh GPU computation. Per @demian_ai, about 95% of input tokens for DeepSeek V4.1 Flash on OpenRouter were cache hits; storage matters unless routing and caching keep almost everything in GPU memory. New products such as 3D DRAM and HBM-on-logic could be the final trigger for a full memory-stock re-rating. x.com  x.com 

Micron may have room to rise because its guided quarterly operating income dwarfs Tesla's despite a lower market value. Micron guides about $51B next quarter versus Tesla's $0.7B last quarter, while Tesla is valued 50% higher. Tesla offers no conventional near-term operating-income guidance, so the comparison uses its latest reported quarter. Micron's larger earnings and accumulated free cash flow provide a cushion, though nobody knows the future; this is not a call for Tesla to fall. x.com  … Show more

Micron faces a severe crash risk from CXMT's current threat and apparent investor complacency after a euphoric high. If the Wall St Cheat Sheet fits, most of Micron's gains across 40 years, amassed in just one year, could be erased soon. Earlier, Elon Musk said Micron had been reasonable on future memory prices; memory stocks were not yet to be faded. x.com  x.com 

Micron's ordinary memory could see tighter supply because HBM consumes far more factory capacity than conventional DRAM. Meeting AI demand could thus extend Micron's opportunity beyond AI memory. x.com 

Micron's memory demand could outlast current forecasts because sparse AI models must keep all their weights in HBM even when only a fraction is active in computation. Kimi's 2.8T-parameter model activates 104B per token but needs roughly 3TB to hold its weights; serving millions requires parallel copies. If models reach 100T parameters by 2030, each copy could need about 100TB. Micron should continue to outperform the market. x.com 

Micron faces a tough road through 2027 because the current AI spending path is not economically sustainable and tech progress can undercut memory demand. Micron's weak price action on blowout earnings is a tell. Token usage will keep rising, but Nvidia is already pivoting to LPUs with Groq, and tech progress should never be underestimated. x.com  x.com  x.com 

Micron has leverage over Elon Musk because he needs its memory chips more than it needs his business. Musk cannot afford to offend Micron for at least three years, which is good news for the stock. x.com  x.com 

Semiconductors could stay undersupplied for a long time as more capable AI per dollar creates more uses and drives compute demand. Micron and NVIDIA trade at low forward P/Es because investors fear peak cyclical earnings, yet current earnings show no slowdown. Shortages may worsen as AI adoption spreads, though the industry could remain cyclical; a reversal of the forced rollover trade is hoped for, not assured. x.com  x.com  x.com 

Robotaxi, Optimus and satellite data centers should keep a merged Tesla moving higher. x.com 

AI's biggest bottleneck is power and cooling, not memory, making Vertiv, GE Vernova, Bloom Energy and Eaton buys. Musk expects a prolonged compute shortage; Nvidia, Broadcom, Micron, SK hynix, TSMC, Arista, AMD, Marvell, Credo, Lumentum, ASML and Astera Labs could benefit massively. Grok Bot's 800,000 paid weekly users have more than doubled in a month; Musk says agents could eventually use more compute than any other part of SpaceX's Super Intelligence business, benefiting Dell and Sandisk too. … Show more