Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a “Double Down” signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same “Total Conviction” signal is flashing for a company 1\/100th the size of Nvidia. Continue \u00bb<\/a> <\/p>\n Nvidia’s latest earnings report was the kind of print that resets conversations. Total revenue was $96.2 billion, more than double what it took in during the year-ago quarter. Data center sales reached $89 billion, up 117% year over year. Naturally, hyperscalers still matter a lot to Nvidia’s data center segment. Big tech customers comprised $48.7 billion of the company’s data center sales. The faster-growing slice, however, was its “ACIE group” — AI clouds, industrial customers, and enterprises. This market segment generated $40.3 billion in revenue, up 138% year over year and 25% from the prior quarter. <\/p>\n Palantir is achieving in software what Nvidia is in hardware. During the second quarter, its revenue surged 93% year over year to $1.9 billion. Sales from the U.S. commercial segment jumped 149% year over year to $764 million. Given this momentum, management raised full-year revenue guidance to a little over $8.2 billion, implying 82% growth. <\/p>\n Palantir’s Artificial Intelligence Platform (AIP) is not a pilot project anymore. Fortune 500 companies are embedding Palantir’s platforms — Foundry, Gotham, and Apollo — into their daily operations, and the company’s bookings suggest its sales acceleration will continue. <\/p>\n These two reports were not isolated. Nvidia and Palantir are proving that both the hardware layer and the software layer of the AI revolution are still expanding at paces that most on Wall Street would have called unsustainable even just two years ago. <\/p>\n Story Continues <\/p>\n Upstream dollars are now flowing downstream <\/p>\n The growth displayed by Nvidia and Palantir is excellent news for Micron because the AI stack is vertical. You can’t sell more data center GPUs or more enterprise software platforms without putting a lot more high bandwidth memory (HBM) into the equation. Nvidia itself has made this abundantly clear. Last quarter, the company boosted its supply and capacity commitments through its fiscal 2032 by $160 billion to a total of $279 billion, with management saying the bulk of those commitments are for memory purchases. <\/p>\n Hyperscalers and AI-cloud operators continue to place enormous orders for Nvidia’s GPUs. Software companies like Palantir then sell platforms and services that make these GPUs useful within production environments. The subtle beneficiary here is Micron, because every extra new accelerator installed and every AI deployment needs incremental stacks of HBM. <\/p>\n Micron is one of only three companies that can deliver these key types of memory at scale. DRAM pricing has soared because AI data centers are gobbling up a huge portion of available production. This shows how upstream success does not stay upstream. Downstream in the AI value chain, it manifests as tighter supply and better pricing for component makers like Micron. <\/p>\n The market could recalibrate its view of Micron on Sept. 30 <\/p>\n Micron reports its fiscal 2026 fourth-quarter results after the closing bell on Sept. 30. The consensus estimates among Wall Street analysts are that it will report $50.8 billion in revenue and about $31.28 in earnings per share (EPS). The reason Micron could actually beat these forecasts is that pricing and product mix keep moving in its favor. Next-generation HBM4 is ramping up for the next wave of Nvidia systems, while conventional DRAM supply remains tight. <\/p>\n To me, Micron’s valuation story is a curiosity. On a trailing-12-month basis, Micron stock may look expensive because its earnings explosion is still catching up to the stock price. On a forward price-to-earnings<\/a> (P\/E) basis, however, Micron is trading more like a cyclical industrial stock as opposed to a company positioned in the middle of a multiyear infrastructure boom. <\/p>\n MU PE Ratio<\/a> data by YCharts.<\/a> <\/p>\n Nvidia and Palantir are already priced like true AI winners — deservedly so. On a forward earnings basis, Micron remains priced like a commoditized memory producer that investors expect to eventually repeat its familiar boom-and-bust cycle. Yet memory is now a scarce resource, and every GPU produced and every enterprise AI system deployed needs it to function. If Micron merely delivers what Wall Street expects and then confirms that demand remains robust, its valuation multiple has significant room to expand alongside its still-rising earnings. That is why, in this particular month, Micron looks like the most important AI infrastructure stock. <\/p>\n Should you buy stock in Micron Technology right now? <\/p>\n Before you buy stock in Micron Technology, consider this: <\/p>\n The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks<\/a> for investors to buy now\u2026 and Micron Technology wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years. <\/p>\n Consider when Netflix made this list on December 17, 2004… if you invested $1,000 at the time of our recommendation, you’d have $410,024!* Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,372,815!* <\/p>\n Now, it’s worth noting Stock Advisor’s total average return is 950% \u2014 a market-crushing outperformance compared to 211% for the S&P 500. Don’t miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors. <\/p>\n See the 10 stocks \u00bb<\/a> <\/p>\n *Stock Advisor returns as of September 10, 2026. <\/p>\n Adam Spatacco<\/a> has positions in Nvidia and Palantir Technologies. The Motley Fool has positions in and recommends Micron Technology, Nvidia, and Palantir Technologies. The Motley Fool has a disclosure policy<\/a>. <\/p>\n<\/a> Image source: Micron Technology. Nvidia and Palantir confirmed the AI build-out continues <\/p>\n
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