Benzinga - by Piero Cingari, Benzinga Staff Writer.
Escalating electricity needs from running AI data centers will create downstream investment benefits in the utilities, renewable energy generation, and industrial sectors, according to Goldman Sachs.
In a recently published study, equity analyst Carly Davenport has listed a basket of stocks positioned to benefit from the potential massive surge in U.S. power demand.
The investment bank forecasts that data center power demand will grow at 15% compound annual growth rate from 2023-2030. This growth trajectory is expected to elevate data centers’ share of total US power demand to 8% by 2030, up from the current level of approximately 3%.
The “U.S. power demand (is) likely to experience growth not seen in a generation. Not since the start of the century has US electricity demand grown 2.4% over an eight-year period, with US annual power generation over the last 20 years averaging less than 0.5% growth,” Goldman Sachs highlights.
Analysts estimate that about 47 GW of additional power generation capacity will be necessary to accommodate the growth in U.S. data center power demand by 2030. This demand is anticipated to be met by approximately 60% gas and 40% renewable sources.
The projection suggests that this trend will drive approximately $50 billion in capital investment in U.S. power generation capacity by 2030.
Goldman Sachs has pinpointed 16 stocks rated as “buy” across various sectors, including Utility, Clean Technology, Midstream, Energy Services, Industrials, and Industrial Tech.
The highlighted stocks are as follows:
Power Demand Growth Beneficiaries
- Vertiv Holdings Plc (NASDAQ:VRT): Solid market presence in thermal cooling and power management offerings.
- NextEra Energy Inc. (NYSE:NEE): Renewable sector strategically positioned for AI data loads and available interconnection queues.
- Cameco Corporation (NYSE:CCJ): Provider of clean energy storage solutions for data centers’ backup power needs.
- EQT Corporation (NYSE:EQT): Beneficiary of rising nuclear power capacity as a uranium producer and nuclear fuel supplier.
- Fluence Energy Inc. (NASDAQ:FLNC): Natural gas producer poised to capitalize on heightened demand resulting from electric load expansion.
- Xcel Energy Inc. (NASDAQ:XEL): Regulated utility exposed to power generation needs to support data center growth in Midwest Independent Transmission System Operator.
- First Solar Inc. (NASDAQ:FSLR): Primary manufacturer and supplier of solar panels for utility-scale solar farms across the United States.
- Southern Company (NYSE:SO): Regionally positioned regulated utility poised to meet the escalating demand from data centers through strategic investment in generation.
- GE Vernova (NYSE:GEV): Positioned to profit from sustained growth trends as a supplier of power generation assets.
- Quanta Services Inc. (NYSE:PWR): Specialty contractor specializing in utilities construction, poised to reap rewards from increased electricity demand.
- MYR Group Inc. (NASDAQ:MYRG): Involved in data centers through transmission and distribution (T&D) projects, establishing prominence as a key player in electrical contracting.
- DBA Sempra (NYSE:SRE): Utility allocating substantial capital expenditure on T&D infrastructure to bolster the expansion of data centers in Texas.
- Kinder Morgan (NYSE:KMI): The leading operator of natural gas pipelines in the United States, set to profit from the rising demand for gas-fired generation.
- Eaton Corporation (NYSE:ETN): Manufacturer of electrical components poised to capitalize on the sustained increase in power demand.
- nVent Electric plc (NYSE:NVT): Key player in liquid cooling technology, forecasting double-digit business growth within the Data Solutions sector.
- Caterpillar Inc. (NYSE:CAT): Construction equipment company capable of supplying generator sets to data centers for backup power needs.
According to analyst estimates, there is an upside scenario where demand could more than double the base case, influenced partly by improvements in product efficiencies and increased demand for AI-related technologies.
“There could be meaningful upside to our base case if appetite for purchase and utilization of servers is unconstrained,” Davenport stated.
“There could be downside to our base case if power efficiency is higher than expected or if power/compute speed efficiencies lead to fewer servers purchased than expected,” the analyst added.
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