No Boiling the Planet for Chatbots!

1. Data Center Environmental Caps

Hard Limits (Nationwide):

• Energy: Total data center consumption capped at 100 TWh/year (currently 183 TWh)
• Water: Capped at 2.5 billion gallons/year (currently 17 billion)
• Emissions: Net-zero by 2029 (not 2030, not 2050 - NOW)

How to Stay under the Cap:

• Companies bid for allocation (auction system)
• Most efficient operations win
• Inefficient operations shut down

New Data Centers:

• BANNED unless 100% renewable powered + closed-loop water cooling
• Must offset energy use 2:1 (build twice as much renewable as you consume)
• Community benefit agreements required (jobs, tax revenue, and no rate increases)

2. Carbon Tax on AI Training

Tax Based on Compute Used:

• Training runs using >10^23 FLOPs (floating point operations): $10M carbon tax
• Training runs using >10^24 FLOPs: $100M carbon tax
• Training runs using >10^25 FLOPs: $1B carbon tax

Why: Make companies internalize environmental costs. GPT-4 scale models cost society millions in emissions - charge them.

Revenue: Fund renewable energy buildout, climate adaptation

3. "Right to Repair" AI Infrastructure

Equipment Lifespan Requirements:

• Servers must last minimum 10 years (not 3-4)
• GPUs must be repairable (no planned obsolescence)
• E-waste recycling mandatory (90% recovery rate)

Ban on Disposable Hardware:

• Can't trash perfectly good equipment because new model is 5% faster
• Must donate/resell/recycle

Why: Short lifespan of GPUs adds to the growing electronic waste problem Penn State