AI, Data Centers, and Energy

AI, Data Centers, and Energy Use Lesson

This lesson introduces students to how artificial intelligence and digital technologies rely on large data centers that consume significant amounts of electricity, water, and land. Students explore what data centers do, why AI is increasing their energy use, and how these facilities affect electric grids, local infrastructure, and surrounding communities.

The lesson combines explanatory reading with data analysis so students can examine both the science and the systems-level impacts of digital infrastructure. Students learn how servers, storage systems, networking equipment, and cooling systems function together inside data centers, and how changes in server type and computing demand are driving rapid growth in electricity use. The lesson also explores water use for cooling, land use for large facilities, air quality impacts from on-site generation, and the social and economic tradeoffs associated with new AI-focused infrastructure.

This resource works especially well for teachers looking for environmental science lesson plans for high school, AI and energy lesson ideas, data center electricity use activities, or energy infrastructure case studies. It fits naturally into units on energy systems, environmental impacts, electricity demand, technology and society, or climate and resource use.

Because the lesson includes both a student-facing info sheet and a graph-based data set, it supports multiple instructional goals at once. Teachers can use it as a full class lesson, a station-based activity, or a discussion launch for broader work on AI, electricity demand, and infrastructure planning.

Extend the Lesson:
Use the Info Sheet to build background knowledge, then move into the Data Set for evidence-based analysis. For related systems thinking, connect this lesson to the Electric Grid, Energy Efficiency, or Environmental Impacts of Energy.