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shailesh jain

As seen in: MDPI, Practical Pain Management, The Cureus Journal of Medical Science, The Journal of Clinical Psychiatry, Energy Central, Current Psychiatry, Research Journal of Pharmacy and Technology, Industry Moves, AIxEnergy

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Articles

AI’s Missing Middle

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By Brandon N. Owens, shailesh jain
| AIxEnergy
In June 2026, federal energy regulators approved PJM Interconnection’s expedited track for certain large generation projects, a temporary effort to bring qualified capacity resources online faster as the largest U.S. grid operator confronts rising electricity demand, resource adequacy pressure, and the power requirements of AI data centers.¹ The decision was about interconnection.
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Utilities Don’t Need More AI Demos. They Need Grid AI Fluency

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By shailesh jain
| AIxEnergy
This post is for subscribers only Subscribe now Already have an account? Sign in The Five Convergences Course: Mastering AI-Energy Integration for Grid Leaders The Power Sector’s AI Decade Is AI's Next Frontier Underwater and in Orbit? AI Load Corridors and the Rise of Orchestration Utilities FERC Meets the Shadow Grid: Deciding when Private Power becomes a Public Grid Problem
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Who’s Powering the World’s Biggest AI Data Centers?

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By shailesh jain
| Energy Central Verified
AI megaprojects are no longer conceptual. They are physical infrastructure — steel in the ground, turbines spinning, substations expanding. And the real story isn’t GPUs. It’s gigawatts and billions in investments. Across the U.S., we’re watching three distinct power models emerge for GW-scale AI campuses. 1️⃣ Behind-the-Meter Generation Private generation wrapped around a single AI campus. 2️⃣ Utility-Dedicated Generation New plants justified primarily by hyperscale load.
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