On Point | Podcast cover image

On Point | Podcast

How will we power the AI boom?

Feb 13, 2025
Evan Helper, a business reporter at The Washington Post focused on energy transitions, joins Amy Myers Jaffe, director at NYU’s Energy, Climate Justice and Sustainability Lab. They delve into the staggering energy demands of AI, likening a single query to powering a lightbulb for 20 minutes. The duo discusses the conflict between AI’s growth and reliance on fossil fuels, highlights escalating emissions from tech giants, and debates the community challenges around renewable energy integration versus traditional sources. They also explore innovative solutions for balancing energy needs with ecological commitments.
47:18

Podcast summary created with Snipd AI

Quick takeaways

  • AI technologies like ChatGPT operate more efficiently per query compared to traditional lighting, but their overall energy demand is rapidly increasing.
  • The expansion of AI data centers is leading to greater reliance on fossil fuels, raising urgent concerns about environmental and health impacts in affected communities.

Deep dives

Energy Consumption of AI Compared to Traditional Light Bulbs

The energy usage of AI technologies, like ChatGPT, is significantly lower than traditional incandescent light bulbs. A query to ChatGPT requires about 0.01 to 0.1 watt-hours, while a 60-watt incandescent bulb consumes 60 watt-hours. This comparison highlights that, on a per-query basis, AI systems may be more energy-efficient than commonly used lighting options. However, when considering the larger context of AI's operational needs, a study found that AI could eventually become a major energy consumer, potentially using up to 18% of total U.S. electricity demand by 2030.

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