All articles tagged with #ai data centers
The Electric reports that rising AI data-center workloads are creating a new revenue stream for Western battery makers by deploying backup power systems for AI facilities, potentially triggering a broader battery boom even as consumer EV demand remains tepid.
Micron Technology's stock climbs after Samsung reaches a last-minute labor deal averting an 18-day strike that could disrupt memory-chip supply. A surge in demand for high-bandwidth memory for AI data centers helps the sector, with Micron reporting record Q2 revenue of $23.9 billion, EPS $12.07, and near doubling of gross margins as new plants come online. Wall Street shows a Strong Buy consensus, with an average target of about $657 per share, implying some downside from current levels.
NextEra Energy is reportedly in talks to merge with Dominion Energy in a mostly stock deal that could create a utility giant worth more than $400 billion, bolstered by rising power demand from AI data centers and Dominion’s Virginia footprint in “data center alley.” The deal would expand NextEra’s energy mix beyond clean power to include gas and nuclear, align with its plan to add about 15 GW of data-center power over nine years, and leverage tech ties (Google, Microsoft, NVIDIA, etc.). The arrangement isn’t final and would face regulatory scrutiny; NEE stock fell about 2.4% on the news, though it’s up ~17% year-to-date, with analysts averaging a Moderate Buy and a target around $100.70 implying ~7.9% upside.
NextEra Energy and Dominion Energy are in talks for a stock-based tie-up that would create a US utility giant valued at more than $400bn, expanding NextEra into the Carolinas and Virginia to meet booming electricity demand from AI data centers; approvals would require antitrust and energy regulators, and although a deal could be announced soon, discussions could still collapse.
Ed Zitron argues that the economics of generative AI are fundamentally broken: subscription pricing conceals the true per-token costs, data-center capitalism is brutally capital-intensive with slim margins and heavy debt, and OpenAI/Anthropic depend on unsustainable burn rates and venture funding. As token-based billing spreads (e.g., Copilot), the industry faces a reckoning where profitability seems unattainable, media coverage often understates real costs, and investors may rethink AI bets as revenue targets appear impossible to reach.
SA’s feature frames the AI data-center build-out as a multi-year, cyclical trend and surveys a range of leaders across chips, power and infrastructure—Micron, Talen, Vistra, GE Vernova, Siemens Energy, Nebius, CoreWeave, Applied Digital and Iren. It notes Nebius’ growth edge through Nvidia partnerships, CoreWeave’s scale and Nvidia integration (with margin pressure), Applied Digital’s energy efficiency and predictable revenue, and Iren’s renewable-energy moat. Investors should weigh cyclicality, capital expenditure and debt, and valuation when choosing among growth, stability, or energy-led plays.
Capitol Hill is gridlocked over DHS funding as the GOP-Trump framework appears to crumble and Democrats accuse Republicans of dropping immigration-enforcement rules, leaving a stalled process ahead of a recess. Trump blasts Democrats for seeking chaos, while Senate leaders keep doors open to extended talks despite attendance issues. In other news, Rep. Sheila Cherfilus-McCormick faces a House Ethics trial and possible expulsion, and the House Judiciary advances the Protect American AI Act to ease AI data-center permitting amid broader AI-regulation efforts.
Sen. Bernie Sanders and Rep. Alexandria Ocasio-Cortez unveiled the Artificial Intelligence Data Center Moratorium Act to pause new or expanded AI data centers while evaluating energy use, environmental impact and local effects, a proposal underscored by images of facilities like Google's Georgia data center.
Aikido Technologies wants to place liquid-cooled AI data centers inside the ballast-filled legs of floating offshore wind turbines in the North Sea, using seawater cooling to shed heat and batteries to balance power. The prototype aims for about 100 kW initially, with later versions per leg of 3–4 MW (roughly 9–12 MW per turbine) and hybrid links to land grids. The plan, targeting a 2026 Norwegian test, builds on land experiments in Germany and faces challenges like salt exposure, motion, and connectivity.
US trade deficit widened in December as imports rose 3.6%, led by computer chips and other tech goods and boosted by capital goods for AI data centers. The 2025 goods deficit hit a record, while exports fell slightly; trade with China declined but deficits with Taiwan and Vietnam grew, and tariffs stopped delivering a manufacturing rebound.
X-Energy, backed by Amazon, just won the first U.S. nuclear fuel license in more than 50 years, allowing enriched-uranium fuel production at two Tennessee facilities for the next 40 years with production slated to begin in 2028; the license supports Amazon’s plan to power AI data centers with carbon-free nuclear energy and comes alongside a $500 million Amazon investment in X-Energy for SMR development.
AI firms are pouring billions into building sprawling data centers that consume vast water and electricity, contributing to higher energy bills and grid strain. In response, Meta, Amazon, and others are funding advertising campaigns and lobbying efforts to sway public opinion and policymakers as projects face opposition and delays across towns and states.
Micron Technology is riding a surge in AI‑driven demand for memory chips, boosting revenue, cash flow and buybacks. With a forward P/E around 11.5 and a projected $100 billion high‑bandwidth memory TAM by 2028, the stock trades at a material discount to growth peers, implying potential upside as AI data‑center spend remains robust. Yet memory is cyclical, so a long‑term horizon is prudent as buybacks reduce shares and earnings grow, even if near‑term growth moderates.
Advanced Micro Devices extended its rally to seven straight sessions as investors grow upbeat about demand for its AI-focused server CPUs, buoyed by expectations of a Q4 revenue beat and higher guidance driven by Turin data-center CPUs. Analysts project strong server-CPU momentum, with potential 10%–15% upsell pricing and at least 50%/server growth this year, supported by hyperscalers locking in capacity. Bernstein also lifted estimates on server momentum, while OpenAI’s Helios collaboration reinforces the AI narrative, though GPU competition with Nvidia remains a consideration.
AI data centers are expanding rapidly, with Virginia hosting the world’s largest cluster and major investments from Meta, Microsoft, and Amazon, but the U.S. electrical grid is aging and may struggle to meet rising energy demand. Officials have floated an emergency electricity auction through PJM to cover growing costs from these centers, while residential rates have climbed and utilities are exploring higher charges for large customers. Projections suggest data centers could consume about 6.7%–12% of US electricity by 2028, and cooling needs could push water use up by about 170% by 2030, highlighting the challenge of coexisting data centers and households.