15 juli 2026
10 min
What happens when making something more efficient actually makes us use more of it, not less? In this episode of Quantum Curiosities and Tech Revelations, we dive into Jevons' Paradox—the counterintuitive 19th-century economic principle originally observed with coal consumption—and explore its startling relevance to our AI-saturated present. As artificial intelligence makes computation, energy, and even human attention dramatically cheaper and more accessible, are we witnessing history repeat itself on a technological scale nobody quite anticipated? Join us as we unpack how efficiency gains in AI might be fueling unprecedented consumption rather than conservation, with consequences rippling across energy grids, data centers, and the very fabric of how we work and think.
To help navigate this paradox, we're joined by Anna, whose sharp curiosity and knack for asking the questions everyone's thinking but nobody voices, and Professor Halloway, whose academic rigor and historical perspective ground our speculative leaps in solid reasoning. Together, they'll trace Jevons' Paradox from Victorian coal mines to modern GPU clusters, debating whether AI's relentless efficiency gains are steering us toward abundance or toward an entirely new category of resource anxiety. Expect sparks of disagreement, unexpected historical parallels, and a few uncomfortable questions about what "progress" really means when the tools themselves start consuming more than they save.
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