
Data Centers and Energy Usage 101: Impacts on the Electric Grid
Artificial intelligence and the rapid expansion of data centers are creating a new source of enormous electricity demand. Data Centers and Energy Usage 101: Impacts on the Electric Grid, hosted by Clean Energy Group, is designed as an introductory briefing for people who need to understand what this growth means for electricity grids, energy planning, communities and consumers. Clean Energy Group says rapidly rising data-center demand is already contributing to major electricity-load growth in several states and complicating decisions about future generation and grid infrastructure.
The webinar brings together Alli Finn, Director of Community Partnerships at AI Now Institute, and Sarah Smith, a research scientist in Lawrence Berkeley National Laboratory’s Energy Analysis Division. Finn will explain the data-center landscape, including operational dynamics and incentive structures. Smith will examine how data-center electricity demand is modeled and what policymakers, regulators and local authorities should consider when evaluating future load growth. A moderated audience discussion follows the presentations.
The larger issue is not simply how much electricity AI uses. Data-center expansion raises interconnected questions about who pays for new grid infrastructure, where additional electricity comes from, whether fossil-fuel generation increases, what happens to household electricity bills and air quality, and whether clean energy, storage and demand-management solutions can meet new demand instead. Clean Energy Group’s Data Center Energy Accountability Initiative is specifically focused on these public-interest questions.
Additional Details
What You'll Learn
How modern data centers operate and why AI is accelerating their expansion. Why data-center electricity demand is growing so quickly. How researchers estimate and model future data-center electricity consumption. How large new data-center loads can affect regional electric grids. What policymakers, regulators and local governments should consider when assessing proposed data-center growth. How energy demand, electricity rates, generation, grid reliability and community impacts are interconnected.
Why This Matters
The AI revolution is also becoming an energy and infrastructure challenge. Hundreds of data centers are being proposed and built across the United States, creating potentially enormous new demands on electricity systems. Decisions being made now about how that electricity is generated, transmitted and paid for could influence consumer energy bills, grid reliability, fossil-fuel use, air pollution and clean-energy deployment for years to come. For communities and decision-makers, understanding those connections is essential before approving infrastructure investments or policies that could shift costs and environmental impacts onto households and businesses.
Action Level - LEARN
What You'll Leave With
A practical foundation for understanding data-center electricity consumption. A clearer understanding of how AI is affecting electricity demand. Knowledge of the factors used when forecasting data-center load growth. Questions policymakers and communities should ask when new data centers are proposed. Greater ability to evaluate claims about future electricity requirements. Access to Clean Energy Group's AI, Data Centers, and Energy fact sheet and additional data-center policy and research resources.
Best For - Community Leaders, Social Entrepreneurs, Systems Designers, Educators, Journalists / Media, Businesses, Local Governments, Policymakers, Technology Professionals
Practical Next Step - Find out whether data centers are being proposed or expanded in your state or community—and ask who will provide the electricity, who will pay for the required grid upgrades, and what alternatives have been considered. Then examine the proposal as a whole-system issue, not simply a technology-development question: Data Center Growth → Electricity Demand → Grid Infrastructure → Generation → Energy Prices → Emissions → Air Quality → Water → Community Health For policymakers, utilities and community organizations, the next step is to compare projected data-center demand with options such as energy efficiency, demand flexibility, renewable generation, battery storage and distributed energy resources before committing communities to long-lived and potentially costly infrastructure. Clean Energy Group specifically advocates evaluating policies that protect ratepayers while directing investment toward solutions such as solar, storage and efficiency