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The article discusses how energy midstream companies are positioned to benefit from the rising demand for electricity driven by artificial intelligence (AI). As AI training and inference require significant energy, the demand for natural gas is expected to increase, leading to more pipeline projects. Bank of America forecasts that electricity demand for data centers will rise by 10% to 15% annually until 2030, potentially accounting for 5% of global power demand by that year.
Three key companies highlighted are Energy Transfer, Enterprise Products Partners, and Williams Companies, all of which have strong positions in the natural gas market. Energy Transfer is actively pursuing new pipeline projects to connect to power plants and data centers, while Enterprise Products Partners is ramping up capital expenditures to meet growing demand. Williams Companies is expanding its pipeline system to accommodate increased power generation needs, particularly in regions experiencing significant AI-related growth.
• AI's energy-intensive nature drives demand for natural gas and pipeline projects.
• Electricity demand for data centers is projected to rise significantly by 2030.
AI refers to technologies that enable machines to perform tasks that typically require human intelligence, impacting energy demand.
Data centers are facilities that house computer systems and associated components, with increasing power needs due to AI workloads.
Natural gas is a fossil fuel that is increasingly used to meet the rising energy demands of AI-driven applications.
Energy Transfer operates a vast network of natural gas pipelines, positioning itself to meet the growing energy demands from AI.
Enterprise Products Partners is ramping up capital expenditures to expand its natural gas infrastructure in response to AI-related power demands.
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