
How AI’s Hunger for Power is Reshaping our Energy Landscape
AI is forcing a seismic shift in our energy landscape. News that China’s DeepSeek AI operates with up to 40 times less power than American competitors has already rattled markets and put its American counterparts on the defensive. Why? Currently, data centers devour 3% of US electricity—with projections showing this could more than double to 8% by 2030, driven mainly by AI power needs. As tech giants pledge to triple nuclear capacity and researchers explore innovative energy solutions, fundamental questions arise about balancing technological progress with infrastructure realities.
Join us for a conversation with Braham Singh, a pioneer in data center development focusing on sustainable digital infrastructure and Executive Chairman of Verdana.io.
Hosted by: Alexa Raad and Leslie Daigle.
Further reading:
- Google, Meta pledge to triple nuclear capacity by 2050 as technology sees looming ‘renaissance’
- White Paper on Integrating Data Centers with a Microgrid
- AI has high data center energy costs — but there are solutions
- China’s cheap, open AI model DeepSeek thrills scientists
- Dominion Energy admits it can’t meet data center power demands in Virginia
- AI is poised to drive 160% increase in data center power demand
The views and opinions expressed in this program are our own and may not reflect the views or positions of our employers.
Podcast: Play in new window | Download
Subscribe: Apple Podcasts | Spotify | Android | Blubrry | RSS