AI Environmental Impact

I have a 2 day a week, 45 minutes per class intro to ai course. This week I'd like to cover the environmental impacts of AI. Several students will miss class and need to be able to catch up on their own. It would also be good to include geographical and political issues for the raleigh NC area if possible, especially for datacenter builds. Make sure the students start to grasp the amount of processing each query takes. possible activity - How much did that cost?" — Give students a list of 5–6 things they actually do (send an AI chat, stream Netflix for 30 min, do a Google search, generate an image, scroll TikTok) and have them rank from least to most environmentally expensive. They'll be wrong in interesting ways. Then reveal the actual order and discuss what surprised them. Students often assume streaming or gaming has a greater impact than AI, but when they calculate how often AI models must process enormous datasets, the scale becomes clear

Overview

This 45-minute lesson introduces 9th-grade students to the environmental impacts of artificial intelligence (AI), with a focus on the energy consumption and carbon footprint associated with AI data processing. Students will explore geographical and political issues relevant to Raleigh, NC, particularly related to data center infrastructure. The lesson supports independent learning for absentees and uses an interactive ranking activity to deepen understanding of AI’s environmental costs compared to everyday digital activities.

Standards Alignment

Next Generation Science Standards (NGSS)

HS-ESS3-4: Evaluate or refine a technological solution that reduces impacts of human activities on natural systems.
HS-ESS3-5: Analyze and interpret data on natural hazards to forecast future catastrophic events and inform the development of technologies to mitigate their effects.
HS-ETS1-3: Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs.
HS-ETS1-2: Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering.

Note: Although these standards focus heavily on Earth systems and technology design, this lesson integrates concepts of energy consumption (an Earth system) and AI technology (a human-made system) to explore resource use and environmental consequences.

Learning Objectives

By the end of this lesson, students will:

Describe the environmental impact of AI technologies including energy use and greenhouse gas emissions. (HS-ESS3-4)
Compare environmental costs of different everyday digital activities and explain why AI queries may consume more resources than expected. (HS-ESS3-4, HS-ETS1-3)
Identify the regional significance of data center construction in Raleigh, NC, including political and environmental challenges. (HS-ETS1-2)
Develop critical thinking about technological benefits versus ecological costs, fostering responsible technology use. (HS-ETS1-3, HS-ESS3-5)

Materials Needed

Printed or digital “Environmental Cost Ranking Activity” sheet with the 5-6 daily digital activity items
Whiteboard or chart paper and markers
Projector or screen to display images/facts on AI infrastructure
Calculator or smartphone for quick calculations during discussion (optional)
Map of Raleigh, NC data center locations (printed or projected)
Notebooks or digital devices for note-taking

Lesson Timeline

1. Introduction & Hook (5 minutes)

Begin with a compelling question: “Have you ever wondered what happens behind the scenes when you ask a question to an AI chatbot or stream a show on Netflix?”
Briefly introduce AI as powerful but resource-intensive technology. Explain how huge data centers process billions of queries daily, often unnoticed.
State today’s goal: to understand how much energy AI uses and why it matters for our environment, especially locally in Raleigh, NC.

2. Mini-Lecture: Environmental Impact of AI (10 minutes)

Use visuals to explain:
- What AI servers and data centers do
- Energy requirements of AI model training and individual queries
- Carbon footprint comparisons between AI tasks and other digital activities
Highlight local context:
- Raleigh, NC as a growing tech hub with many data centers
- Political and environmental debates about power consumption, land use, and sustainability in the region
Prompt students to think critically about tradeoffs between tech convenience and ecological impact.

3. Group Activity: “How Much Did That Cost?” Ranking Exercise (20 minutes)

Distribute the ranking activity sheets with 5-6 activities:
1. Send one AI chat query
2. Stream 30 minutes of Netflix
3. Perform one Google search
4. Generate one AI image
5. Scroll TikTok for 10 minutes
6. (Optional) Send an email with attachment
Students work in small groups (3 students per group) to rank the activities from least to most environmentally expensive based on what they think.
Each group briefly shares rankings and rationale on the whiteboard.
Reveal the actual environmental cost order (based on recent data and studies).
Facilitate class discussion around surprises and misconceptions, emphasizing the energy intensity of AI’s large-scale computations per query.

4. Wrap-Up and Reflection (7 minutes)

Discuss:
- Why AI might have a higher environmental cost than expected despite seeming intangible
- Local impact: how Raleigh’s data center growth influences regional policies on energy and environment
- How students can be informed digital citizens promoting sustainable technology use
Assign a brief independent catch-up task for absent students: write a one-paragraph summary on Raleigh’s data centers and why understanding energy use matters.
Preview next lesson’s focus on AI ethics and societal impacts.

Assessment

Informal formative assessment through group discussion participation and answers during ranking activity.
Observation of student reasoning during ranking justification will indicate understanding of energy concepts.
Independent catch-up paragraph assignment for absentees to demonstrate comprehension of local and environmental contexts.

Teacher Tips

Before class, gather data on estimated energy consumption per digital activity from credible sources to accurately reveal rankings.
Use Raleigh-specific examples: mention prominent data centers such as those by major tech companies near Raleigh-Durham, and local debates on electricity sourcing and environmental permits.
Encourage students to consider how innovation can help reduce AI’s environmental footprint, tying back to NGSS engineering standards.
Adapt group sizes or timing based on student needs and tech familiarity.

Extensions (Optional)

Investigate alternative energy solutions powering AI data centers locally and worldwide.
Research recent political decisions affecting data center construction in NC (like tax incentives or environmental impact assessments).
Host a virtual guest speaker session with a local AI or environmental professional.

This lesson ensures students critically engage with the complexity of AI’s environmental impact while grounding the conversation in their local community and real-world science standards.

Teaching Instructions