Cramer predicts Micron (MU) can double again, citing AI-driven demand and roughly $100 billion in minimum-price contracts as evidence of disciplined supply. SanDisk (SNDK) has surged 653% year to date as memory makers collectively channel $25 billion in buybacks rather than funding new production capacity. Act now: the analyst who called NVIDIA in 2010 just named his top 10 AI stocks — and Micron Technology didn't make the cut.
Grab the names FREE today. Jim Cramer used his Monday CNBC segment to make an aggressive call on the year's most explosive corner of the market: memory and storage. "Sometimes the opportunity is too great and you can't afford not to take it." He paired that framing with a specific prediction on Micron Technology (NASDAQ:MU): "I think Micron can double again before the boom comes to an end, assuming there's no data center slowdown." That conditional matters.
Cramer's timing view is that the group has more room to run. "While I acknowledge that I am not early, I do not think I am late." The Monday close explains the hesitation. SanDisk (NASDAQ:SNDK) finished at $1,786.85, up 8.88% Monday, up 652.74% year to date, and up 44.34% over the past week.
Seagate Technology (NASDAQ:STX) closed at $994.79, up 2.19% Monday, up 262.15% year to date, and up 24.20% over the past week. Micron closed at $1,011.75, up 4.13% Monday, up 254.71% year to date, and up 17.51% over the past week. Western Digital (NASDAQ:WDC) closed at $536.01, up 5.35% Monday, up 211.39% year to date, and up 22.28% over the past week.
Every prior memory boom has ended the same way. Manufacturers, seeing rising prices, aggressively add fab capacity. Supply swamps demand, prices collapse, and stocks give back years of gains in months (riding a mania is fine as long as you plan the exit, and our free Bubble Survivor's Handbook covers both halves).
Cramer's point is that assuming this pattern must repeat can itself be the bigger mistake this time. His argument rests on two pillars. On demand, he cited Elon Musk's public comments on X identifying memory as the key bottleneck to AI data center growth.
Extract — continue reading at the source.
