The cloud isn't actually in the sky — it runs on electricity, and AI is straining the grid like nothing before it. Jonathan Green talks with Stephanie Cox (CEO of GridEQ) about the energy reality behind the AI boom: why hyperscale data centers are a brand-new kind of load, why the real bottleneck is planning and permitting rather than power, how energy storage bridges fast-moving AI and slow infrastructure, why communities are pushing back, and where a smarter, more distributed grid goes from here.

Key Takeaways: • AI data centers are a new kind of load — continuous, massive draw the grid was never designed for (it was built for peak and weather events, not 24/7 hyperscale demand). • The real bottleneck isn't power, it's planning — transmission lines, interconnection queues, permitting, water, land, and community support. Securing power now takes far more than a purchase agreement. • Energy storage is the bridge — it fills the gap while slow infrastructure (substations take years) catches up to fast-moving AI and software. • Communities are pushing back — a stat she cites: ~90% of Americans don't want hyperscalers nearby (higher costs, water and power strain, few local jobs). The tension is power to the data center vs. power to the community. • Bet on efficiency and a diversified grid — smart investors already model the decline (chips obsolete in 12–18 months, software getting leaner). The future is distributed centers, mixed generation + storage, and secondary markets for stranded equipment (GridEQ's new line).

Notable Quotes: "90% of folks in the US don't necessarily want the data centers coming into play." — Stephanie Cox "My hope is for a more diversified and resilient ecosystem — relying on more than just one technology." — Stephanie Cox

Connect with Stephanie Cox: LinkedIn: https://www.linkedin.com/in/stephcox-co Company: GridEQ

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