The memory-chip shortage has produced pricing and margins that would once have seemed impossible for a commodity semiconductor industry. High-bandwidth memory, server DRAM and enterprise NAND have become critical constraints on AI infrastructure. Long-term customer contracts make the current cycle more durable than earlier booms, but extraordinary margins and capacity investment also raise the eventual cost of being wrong. $Micron Technology(MU)$ provides the clearest US-listed evidence. It reported on June 24 for the fiscal third quarter ended May 28. Revenue reached $41.46 billion, up from $23.86 billion in the preceding quarter and $9.30 billion a year earlier. Non-GAAP gross margin was 84.9%, adjusted EPS was $25.11 and operating cash flow reach

Investors closely track Big Tech’s quarterly capital expenditures, but reported CapEx only captures part of the AI buildout. Nine major technology companies reportedly have about $3 trillion in future lease, chip-purchase and infrastructure commitments that are not yet fully reflected on their balance sheets. 1. Where Did the $3 Trillion Come From? According to a Wall Street Journal analysis of financial-statement footnotes, nine major technology companies reported roughly $600 billion in combined CapEx over their latest 12-month periods. However, their broader future commitments approach $3 trillion, including approximately: $1.2 trillion in data-center leases that have not yet commenced; $1.9 trillion in long-term purchase agreements covering chips, memory, power and other infrastructure

A mild PPI report pushed the S&P 500 to another record close, but the real story overnight was the widening gap within tech. SNDK surged 13.7% after unveiling its long-term growth targets through 2030, lifting WDC and MU with it. Meanwhile, COHR, Cisco and AMAT all delivered solid results—but their stocks were not rewarded. Investors still want AI exposure, but they are no longer paying higher prices for growth that is already widely expected. S&P 500 Hits Another Record as PPI Eases Rate-Hike Fears All three major U.S. indices closed higher overnight: The immediate catalyst was the July U.S. Producer Price Index. Headline PPI was unchanged from the previous month, easing concerns about another inflation rebound. Goods prices declined 0.7%, including a 3.1% drop in energy prices, o

AI hardware stocks have suffered a sharp valuation reset, but the latest earnings show that underlying infrastructure demand remains strong. CoreWeave’s revenue backlog reached $104.2 billion, while Super Micro guided for up to $72 billion in annual revenue. The key bottlenecks are increasingly power, cooling, networking and financing—not a lack of AI orders AI Infrastructure Rebounds After Hours U.S. stocks ended the latest session lower as investors remained cautious ahead of the July CPI report: S&P 500: −0.32% Nasdaq Composite: −0.60% Dow Jones: −0.34% However, several AI infrastructure names rebounded after the close: $CoreWeave(CRWV)$: up more than 14% after hours $Super Micro Computer(SMCI)$: u

$Micron Technology(MU)$ rose approximately 12% on July 21, leading a broad recovery in memory and storage shares. The move reflects extraordinary earnings growth, but it also demonstrates how quickly sentiment can change when expectations are already elevated. Micron reported fiscal third-quarter revenue of $41.46 billion on June 24, compared with $23.86 billion in the preceding quarter and $9.30 billion one year earlier. GAAP net income reached $28.24 billion, while operating cash flow totalled $25.39 billion. Micron’s official earnings release and SEC-filed report show the scale of the expansion. These numbers reflect an exceptional memory environment. AI accelerators require high-bandwidth memory, while data centres, smartphones and computers all