cgray140@bloomberg.net
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Episodes: 306
Frequency: Weekly
Rating: 4.6/5.0
Estimated listeners: 1k-10k
Gender skew: Unknown
Location: USA
YouTube: 16.3k subscribers
Instagram: 778.0k followers
cgray140@bloomberg.net
For verified host and producer emails, sign up to view.
Dana Perkins - Podcast host covering energy, transport and sustainability topics for BloombergNEF.
Tom Rowlands-Rees - Podcast host covering energy, transport and sustainability topics for BloombergNEF.
Musfika Mishi - On-site Gas Generation, Data-center Electricity Demand, Power Technologies, Grid Constraints And Emissions.
Ryan Ward - Artificial Intelligence In Hurricane Forecasting, Energy-market Resilience, Utility Preparedness And Extreme Weather.
Stephan Mothe - Mexico’s Energy Transition, Clean Power, Storage, Grid Infrastructure, Energy Security And Manufacturing.
China Builds Nuclear Power While the West Reinvents It
July 29, 2026
Nuclear power is gaining momentum around the globe, but the industry’s path has diverged. China and India are rapidly expanding conventional reactor fleets, while the US and Europe are betting on smaller and more advanced designs to overcome decades of cost overruns and delays. Rising AI electricity demand, energy security concerns and decarbonization goals have all renewed interest in nuclear energy. But turning that momentum into new projects will depend on whether the industry can bu...
Gas Is Letting Data Centers Grow Beyond the Grid
July 23, 2026
Artificial intelligence is heating up the race to build data centers, and with BloombergNEF projecting 194 gigawatts of demand by 2035, the biggest challenge isn't computing power…. It's electricity. Faced with years-long grid connection delays, developers are turning to on-site gas generation to bring projects online faster, creating a rapidly expanding market for turbines, engines, fuel cells and battery storage. Choosing the right technology is a trade-off between speed, cost, effic...
AI’s Edge in Hurricane Forecasting: Analyst Reaction
July 20, 2026
Artificial intelligence is beginning to transform weather forecasting. New AI models are proving remarkably accurate at predicting hurricane tracks, in some cases matching or outperforming traditional forecasting models while delivering faster results. For energy markets, those gains could be significant. Earlier and more accurate forecasts give utilities, LNG exporters and offshore operators more time to prepare for approaching storms, improving resilience and reducing disruption. Yet AI is ...
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