5.1 - Energy
 Prof. Jack Reilly
 S2026

🧠 Think:
•	How do we manage the massive energy demands of AI?
📖 Read:
•	Chen, 2025. “How much energy will AI really consume? The good, the bad, and the unknown” Nature
•	Stover, 2024. “AI goes nuclear” The Bulletin of the Atomic Scientists
🌐 Browse:
•	Ars Technica, “Can we make AI less power-hungry? These researchers are working on it.”
•	The Economist, “How safe is nuclear energy?”
•	Mandler, 2024. “Three Mile Island nuclear plant will reopen to power Microsoft data centers”
•	Erdenesanaa, 2024. “A.I. Could Soon Need as Much Electricity as an Entire Country” NYTimes
•	Goldman Sachs, “Is nuclear energy the answer to AI data centers’ power consumption?”
•	Bacquero, “The Energy Footprint of Humans and Large Language Models”
📚 Additional Resources:
•	Crawford, 2022. Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale.
📝 Submit:
•	Discussion question to course chat
Tip
•	“📖 Read”, “🎧 Listen”, and/or “📺 Watch” items are required content for the day, and should be read/heard/watched before class on that day.
•	“🌐 Browse” items should be briefly looked at but do not need to be read deeply unless you want to
•	“📚 Additional Resources” do not need to be looked at; they are there to serve, if useful, as further references for your debates, final projects, and general edification later.