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Clear all filters- Goldman Sachs33 min
The Outlook for Data Center Power Demand as AI Token Use Grows
Brian Singer, Carly Davenport, Allison Nathan, George Lee
Goldman Sachs forecasts a surge in U.S. power demand reaching a 3.5% CAGR through 2030, driven by a 170% rise in global data center consumption that will equal Japan's total electricity usage. This growth is propelled by hyperscaler spending hitting $2.1 trillion by 2029, though projects face critical bottlenecks from skilled labor shortages, interconnect queues, and over 300 local moratoria. Consequently, the sector is increasingly relying on 30 gigawatts of behind-the-meter natural gas generation as a bridge while navigating regulatory uncertainty and community opposition regarding grid stability and environmental impacts.
- Goldman Sachs21 min
AI Exchanges: Power Problems?
Brian Singer, Alison Nathan, George Lee
Goldman Sachs projects a 220% surge in global data center power demand by 2030 as hyperscalers commit over $300 billion to infrastructure, a trajectory comparable to adding the world's sixth-largest power consumer to the grid. This aggressive expansion faces severe bottlenecks in skilled labor and transmission supply, forcing a near-term reliance on natural gas simple-cycle generators while industry leaders navigate regulatory hurdles and "agentic" AI traffic growth. Despite the high capital intensity and a potential $40 per megawatt-hour premium for green energy, major technology firms maintain robust balance sheets to fund these transition costs while seeking to decouple their power expenses from consumer utility rates.
- Goldman Sachs22 min
AI Exchanges: How tech giants are navigating the AI landscape
Eric Sheridan, Allison Nathan, George Lee
Major technology giants are sustaining record capital expenditures through 2025 to solidify AI infrastructure dominance, with Goldman Sachs projecting this peak intensity to slow in 2026 despite tariff-related cost increases. Executives from Meta, Alphabet, and Amazon characterize the sector as being in the early innings of a third computing shift, prioritizing defensive positioning and infrastructure monetization over immediate application-layer profitability. Although investor sentiment remains bifurcated by macroeconomic risks, current valuations reflect a strategic reliance on these incumbents' unprecedented balance sheet scale to navigate the transition from raw training to commercial deployment.