AI Boom to Quadruple US Data Center Power Use by 2035
The rapid adoption of generative AI is driving demand for computing capacity, advanced AI chips and energy-intensive cooling systems, prompting technology companies to expand US data centers. Because these facilities operate around the clock and consume power at an industrial scale, their growth is becoming a major challenge for grid planning, electricity reliability and the transition to cleaner energy sources.
BloombergNEF has raised its forecast for US data center demand to 194 gigawatts, projecting that electricity use by the sector will quadruple by 2035 and account for about 20% of nationwide consumption. Nearly half of installed data center capacity is expected to be dedicated to training and running AI models, intensifying pressure on regional grids and increasing the need for new generation and transmission infrastructure.
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The history behind this eventAI Data Center Boom Raises Grid and Power-Cost Risks
The rapid buildout of generative AI infrastructure is turning electricity supply into a critical constraint for the technology industry. Data centers require large volumes of reliable, around-the-clock power, placing additional strain on public grids, transmission networks and the pace of new generation. The expansion is also sharpening concerns over who pays for grid upgrades and whether costs associated with serving technology companies could raise electricity bills for households and other businesses.
As grid connections become harder to secure and power-cost disputes intensify, more data center operators are considering on-site fuel cells and natural-gas generation to improve energy independence and reduce delays. Such systems could give operators greater control over reliability, but they also raise questions about capital costs, emissions and dependence on fossil fuels. The available event information does not identify specific companies, investment amounts or project dates, but signals that the AI infrastructure race increasingly hinges on access to power.
AI Data Center Demand Drives U.S. Electricity Consumption to Record Highs
U.S. electricity consumption is rising again after years of stagnant growth, driven primarily by data center expansion for AI training, cloud computing and cryptocurrency mining, alongside demand from manufacturing and electrification. The U.S. Energy Information Administration (EIA) said these facilities, which fall within the commercial sector, are reshaping a power-use mix long dominated by households while straining grid expansion and electricity costs.
In its Short-Term Energy Outlook released on July 7, 2026, the EIA projected total electricity consumption would rise from 4.195 trillion kWh in 2025 to 4.269 trillion kWh in 2026 and 4.399 trillion kWh in 2027, setting consecutive records. Commercial consumption is expected to reach 1.550 trillion kWh this year, surpassing residential consumption of 1.508 trillion kWh for the first time. Solar power's share of generation is projected to rise from 7% to 9% in 2027, while wholesale electricity prices are estimated at $45 per megawatt-hour this summer.
French Regulator Says AI Demand Drives 38% Surge in Data-Center Power Use Over Three Years
France’s Regulatory Authority for Electronic Communications, Postal Affairs and Print Media Distribution, or Arcep, said the continued expansion of generative AI training, inference and cloud services has made data centers a major source of new electricity demand. As facilities grow to hyperscale, their power consumption and carbon emissions are affecting regional grid development, energy allocation and France’s environmental sustainability policies.
Arcep’s latest survey showed that electricity consumption by French data centers rose 38% over the past three years, with large AI data centers in particular creating new pressure on energy planning. Available information on the event did not specify the report’s publication date, total electricity consumption or investment amount, but the 38% increase underscores that AI infrastructure is expanding far faster than overall power demand.
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