Marie talks with Ian O’Connor, Professor at École Centrale de Lyon, about the true energy cost of AI and the breakthroughs that could change everything. As AI’s electricity use surges, Ian explains where the power really goes, why moving data is more expensive than doing the math, and how new hardware is helping bend the energy curve. They also explore what business and tech leaders can do today to make AI smarter, faster, and greener.

Timestamps:

• [00:00] Introduction to the podcast
• [01:45] Why is AI energy hungry?
• [06:00] History of AI
• [11:18] Where does the energy really go?
• [15:10] How do we make AI more energy efficient?
• [26:55] Will Quantum replace AI?
• [28:44] Three simple steps to lower AI consumption

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