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Micron's stock surged over 236% as AI-driven demand for memory chips like HBM created a supply crunch. Wall Street sees Micron as potentially the next Nvidia, with revenue quadrupling and long-term agreements securing its position.
Google has limited Meta's usage of its Gemini AI model because of capacity strains caused by high demand.
Apple has raised prices on MacBook Pro, iPad Air, and HomePod Mini, attributing the increases to AI industry demand for RAM. Analysts explain that memory manufacturers prioritize AI data centers over consumer devices, leading to sustained component shortages and price hikes.
The author analyzes the reasons for the pullback in memory chip stocks, attributing SK Hynix's decline to divorce-case selling pressure and Micron's to a technical pullback, with fundamentals unchanged. Emphasizes that AI demand is driving upstream strength, consumer electronics capacity is being squeezed, and the supply chain remains a seller's market.
Micron has signed 16 strategic customer agreements with floor prices ensuring historically high gross margins through 2030, citing structural supply constraints in memory and storage. The company reported record Q3 revenues and expects continued strong performance, though IT professionals may face tighter memory allocations.
Apple has raised prices across its product lineup by hundreds of dollars due to ongoing memory and storage shortages, driven by AI companies' demand for RAM and SSDs.
The article discusses the information gap on Reddit and X platforms, using the example of the white-haired stock guru Serenity's analysis of $AXTI stock on WSB, which skyrocketed due to AI demand for optical communication materials, but she was banned by the moderator, comparing the information dissemination characteristics of the two platforms.
TSMC CEO C.C. Wei warned that the company is struggling to meet surging AI-driven chip demand, stating it could take a 'very long time' to fulfill customer needs even with its US factory expansion, including a $165 billion investment in new American plants.
Michael Burry warns that the AI boom may be built on temporary demand from hyperscalers training models, creating a 'bullwhip effect' that could lead to severe oversupply and a sharp correction for Nvidia.
Tracking 15 EU GPU stores shows RTX 5090 prices rising 3% due to AI/workstation demand while other GPUs drop 7-9%, suggesting sustained high pricing for AI inference hardware.
Data center construction spending continues to outpace office building spending, with the gap widening in early 2026 as AI infrastructure demand grows.
Global RAM manufacturers are expected to meet only 60% of demand by end of 2027, with shortages potentially lasting until 2030, as chipmakers prioritize high-bandwidth memory for AI data centers over consumer electronics. Price increases are already affecting phones, laptops, VR headsets, and gaming devices.