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Sign up free →Memory chip manufacturers (companies that make the RAM and storage that AI systems depend on) are posting record revenues and profits as data centers worldwide race to build AI infrastructure. Yet their stock prices trade at lower valuation multiples than other AI chip makers like NVIDIA — meaning investors are paying less per dollar of earnings for memory stocks than for processor stocks.
The gap matters because it suggests the market may be underpricing memory makers' future growth. If AI infrastructure buildouts continue at current pace, memory demand will stay elevated for years — a 'supercycle' — making these companies' current stock prices potentially a bargain compared to their future earnings capacity.
For investors building AI-focused portfolios, this creates a tactical choice: buy the obvious AI winners (processors) at high prices, or bet on the less-obvious memory suppliers at lower multiples. For business professionals in data-heavy industries, it signals that chip supply — and the costs of building AI systems — may stay tight and expensive longer than currently priced into tech budgets.
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