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Technology

AI’s Electricity Demand Is Not the Real Problem. Its Inflexibility Is

Aug 01, 2026 1 min read Source: OilPrice.com

The electricity demand created by artificial intelligence is usually presented as a simple supply problem. AI requires increasingly large data centers, those facilities consume enormous amounts of electricity, and utilities must somehow build enough power plants to serve them. The numbers appear to support the alarm. Data centers consumed around 485 terawatt-hours of electricity globally in 2025.

The International Energy Agency expects this to rise to approximately 950 TWh by 2030, while consumption from AI-focused facilities could triple. Some…

Technology Context

Technological innovation continues to reshape upstream, midstream, and downstream operations across the oil and gas industry. Digital oilfield technologies — including advanced sensors, machine learning-driven production optimization, and predictive maintenance systems — are delivering measurable efficiency gains.

Artificial intelligence and data analytics are being deployed across the industry value chain to optimize drilling programs, improve reservoir characterization, reduce unplanned downtime, and enhance supply chain management.

What to Watch

The industry will be watching adoption rates, pilot program results, and capital allocation trends as companies evaluate the return on investment from emerging technology deployments across their operations.

Read original article at OilPrice.com

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