Carbon Footprint Report: AI Usage & Offset Analysis

Prepared for: Medium User of AI Tools (e.g., GLM 4.5) | Date: June 2023

1. Annual Carbon Footprint Estimate

Usage Level Interactions/Year CO₂ Emissions (kg/yr)
Medium User 7,300–18,250 7.3–91.25 kg

Based on 20–50 daily interactions

2. Comparison to Everyday Activities (Annual)

AI Footprint vs. Daily Activities
Annual CO₂ Equivalent (kg) 100 75 50 25 0 7.3 91.25 30km 450km 146 1,825 14 183 1 36 AI Car Kettle Showers Burgers Low Estimate High Estimate

Key Comparisons

  • Low: 3 days of kettle use
  • High: 2 months of TV watching
  • Car: London to Brighton (450km)
  • Flight: 60% of London→Paris

Context

AI footprint represents 0.07-0.91% of average UK personal carbon footprint (10,000 kg CO₂/year)

3. Tree Planting Offset Requirements

🌳 Trees Needed to Offset Annual AI Usage:

Low Estimate (7.3 kg)

0.3

trees per year

High Estimate (91.25 kg)

4.2

trees per year

Assumption: 1 UK tree absorbs ~22 kg CO₂/year

4. Key Takeaways & Recommendations

Takeaways

  • ✅ AI footprint is relatively small vs. major activities
  • ⚠️ Actual footprint varies by model and energy source
  • 🌍 Collective impact matters as usage grows
  • 📊 High estimate = 1 round-trip to Edinburgh

Recommendations

  • Offset: Plant 1-4 trees/year via verified schemes
  • Reduce: Batch queries, use efficient models
  • Choose: AI providers using renewable energy
  • Advocate: Support green data centers