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Micron tops forecasts with AI-fueled HBM demand, sees strong Q1 revenue

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Micron Technology projected first-quarter revenue of $12.5 billion ± $300 million, well above Wall Street’s estimate of $11.94 billion, as booming demand for its high-bandwidth memory (HBM) chips drives growth amid the AI race.

AI demand supercharges Micron

  • Q4 HBM revenue hit nearly $2 billion, putting Micron on pace for ~$8B annually, CEO Sanjay Mehrotra said.

  • HBM chips, built by stacking DRAM vertically, reduce power use while enabling massive data processing — making them indispensable for training and running advanced AI models.

  • Micron is a key HBM supplier to Nvidia, whose dominance in AI accelerators makes HBM supply one of the most competitive battlegrounds in semiconductors.

2026 outlook already sold out

  • Micron expects to lock in deals for all 2026 HBM capacity in the coming months.

  • HBM3E pricing agreements are nearly complete; HBM4 pricing talks are ongoing.

  • “The pricing on HBM4 is actually significantly higher than the pricing on HBM3E,” said Chief Business Officer Sumit Sadana, citing tight supply and strong ROI expectations.

  • TSMC will partner with Micron to manufacture the base logic die for its HBM4E chips.

Financial performance

  • Adjusted Q4 EPS: $3.03, topping forecasts.

  • Adjusted gross margin forecast (Q1): 51.5%, far above expectations of 45.9%.

  • Analysts said stronger-than-expected pricing drove the margin boost.

U.S. policy and subsidies

  • Micron has received $6.2B under the CHIPS and Science Act, passed under former President Joe Biden.

  • Current Commerce Secretary Howard Lutnick is exploring converting subsidies into equity stakes in chipmakers, but Sadana said Micron does not expect its grant terms to change.

  • Micron recently received a disbursement after completing a milestone at its Idaho fab, Mehrotra confirmed.

Big picture

Micron is riding the wave of AI-driven chip demand, securing long-term contracts at higher prices while boosting profitability. With HBM4 set to command premium pricing, Micron is positioning itself as a critical player alongside Nvidia, Samsung, and SK Hynix in the global AI supply chain.

Global companies pour billions into AI infrastructure with mega-deals

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A wave of multi-billion dollar investments is reshaping the AI landscape as chipmakers, cloud providers, and tech giants race to secure computing power for next-generation artificial intelligence. The surge follows OpenAI’s launch of ChatGPT in 2022, which sparked unprecedented demand for GPUs, cloud infrastructure, and data centers.

Key deals fueling the AI boom:

  • Nvidia & OpenAI – Nvidia to invest up to $100B in OpenAI and supply advanced AI chips, cementing its dominance in the AI ecosystem.

  • Nvidia & Intel – Nvidia invests $5B for a ~4% stake in Intel.

  • Oracle & Meta – In talks on a $20B cloud deal to boost Meta’s AI compute.

  • Oracle & OpenAI – Landmark deal worth $300B over five years for OpenAI to buy Oracle cloud capacity.

  • CoreWeave & Nvidia – $6.3B order ensuring Nvidia-backed startup CoreWeave absorbs unused cloud demand.

  • Nebius Group & Microsoft – $17.4B, five-year GPU deal to bolster Microsoft’s infrastructure.

  • Meta & Google – Six-year, $10B cloud agreement signed in August.

  • Intel & SoftBank – SoftBank injects $2B into Intel, becoming a top-10 shareholder.

  • Tesla & Samsung – $16.5B chip supply deal for Tesla’s next-gen AI6 chip, produced in Texas.

  • Meta & Scale AI – Meta takes 49% stake ($14.3B) in Scale AI, elevating CEO Alexandr Wang’s role in Meta’s AI strategy.

  • Google & Windsurf – $2.4B licensing deal for AI code generation tech.

  • CoreWeave & OpenAI – $11.9B, five-year contract signed before CoreWeave’s IPO.

  • Stargate Datacenter Project – Joint venture by SoftBank, OpenAI, Oracle, backed by U.S. President Donald Trump, with up to $500B in AI infrastructure funding.

  • Amazon & Anthropic – Amazon doubles down with a total $4B investment in Anthropic, developer of the Claude chatbot.

Why it matters:

  • Capital intensity: AI development is now measured in hundreds of billions, with infrastructure demands rivaling traditional energy projects.

  • Strategic alliances: Tech giants are securing long-term chip and cloud capacity to avoid bottlenecks.

  • Geopolitical edge: Governments, particularly the U.S., are encouraging private-public mega-projects like Stargate to keep ahead in the AI race.

The investment frenzy highlights a simple truth: the future of AI hinges not just on algorithms, but on who controls the world’s computing power.

Brazil’s WEG invests $77M to expand U.S. transformer plant amid AI-driven demand

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Brazilian motor manufacturer WEG announced Tuesday it will invest $77 million to expand its Washington, Missouri specialty transformer plant, aiming to increase production capacity by 50% as demand surges from AI data centers, industrial manufacturing, and U.S. grid stability needs.

The investment, to be deployed over three years, will bring the additional capacity online no later than 2028, WEG U.S. managing director Peter Barry told Reuters. While the facility previously focused on renewable energy applications like wind power, Barry said the shift toward AI and data center infrastructure is now driving growth.

Despite President Donald Trump’s 50% tariff on Brazilian imports, Barry said the company’s decision was unaffected, citing strong and sustained growth in the North American market. “The North American growth for WEG over the last number of years has been very strong, and I would see that continuing,” he noted.

Key points from the plan:

  • Capacity expansion will be pre-sold, reflecting strong forward demand.

  • Investment will emphasize automation, though around 50 new jobs will still be created.

  • WEG remains open to additional U.S. investments as the AI and energy markets evolve, stressing a strategy of flexibility.

The expansion underscores how the AI boom is reshaping industrial supply chains, with transformers becoming critical components for powering vast data centers and stabilizing electricity grids.