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J.P. Morgan Asset Management said the AI-driven rebound in memory chips has pushed operating margins to about 54%, with net income up roughly 450% and related stocks up about 638% over the past year.
The figures, published in the firm's latest Weekly Market Recap, show how far the memory segment has recovered as demand tied to AI servers and data centers lifts pricing, profitability and investor sentiment across the semiconductor supply chain.
Memory has historically been one of the industry's most cyclical businesses, prone to steep swings in pricing and margins as supply catches up with demand. J.P. Morgan's numbers suggest the current upturn has moved beyond a standard recovery into a period of unusually strong profitability.
The reading tracks recent moves among the largest memory manufacturers. Samsung Electronics, SK Hynix and Micron Technology have benefited from rising demand for high-bandwidth memory and other AI-linked products used in accelerated computing. Analyst estimates compiled elsewhere have pointed to a sharp jump in Samsung's operating profit, driven largely by tighter memory markets and AI-related demand.
J.P. Morgan did not disclose in the public recap which companies were included in its memory basket, how the margin figure was calculated, or the basis for the earnings and share-price gains. That limits direct comparison with individual listed names. The size of the 638% gain suggests either a narrow group of highly AI-exposed names, a measurement period that began near a cyclical low, or both.
The backdrop is an AI infrastructure buildout that has driven heavy spending by hyperscale cloud providers. J.P. Morgan has said in other commentary that hyperscaler capital spending has expanded rapidly and that memory is taking a growing share of that budget, helping explain the margin expansion.
For investors, the recap cuts both ways. A 54% operating margin and a 450% rise in net income show the strength of the earnings recovery. A 638% rally in related stocks indicates markets are already pricing a long period of strong demand and elevated profitability.
That sets a higher bar for future gains. If AI infrastructure spending holds, memory producers could keep posting outsized earnings. If spending normalizes, supply expands faster than expected, or customers slow purchases after an initial buildout, the sector's historical volatility could return.
The data point does not settle that debate. It does show the AI trade is no longer centered only on GPUs and compute. Memory has become one of its clearest profit pools, and one of the places where expectations look most stretched.
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