Open Circuit

The Latitude stage: Solving the AI load growth puzzle

28 snips
Aug 13, 2025
In this conversation, Rob Gramlich, president of Grid Strategies, and Anuja Ratnayake from the Electric Power Research Institute dive into the surge of AI investment impacting the energy sector. They discuss the challenges utilities face in planning for a future heavily reliant on data centers. With skyrocketing demands, they explore how to navigate uncertainties and the need for flexible frameworks to ensure grid stability. The duo also highlights the critical limitations of transmission capacity and the importance of proactive planning in managing this rapid load growth.
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INSIGHT

Sudden Surge In Electricity Demand

  • Rob Gramlich estimates ~120 GW new load by 2030, with roughly half from data centers and half of that AI-driven.
  • The surge breaks decades of flat demand and creates sudden planning challenges for long-lived grid assets.
INSIGHT

Interconnection Queues Are Inflated

  • Anuja Ratnayake warns interconnection queues overstate real projects because developers enter multiple queues.
  • Utilities must discount queues using project stage to avoid planning for phantom load.
ADVICE

Discount Projects By Project Stage

  • Discount projects in interconnection queues by lifecycle stage: early entry gets a lower probability.
  • Use milestones like land purchase, supply-chain investment, and engineering studies to weight forecasts.
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