The Bid

250: Powering AI 2.0: Why the AI Boom Is Becoming an Energy Story

10 snips
Feb 20, 2026
Will Su, a BlackRock fundamental equities analyst focused on AI and energy, explains how AI’s growth is becoming an electricity and infrastructure story. He discusses why bigger models and inference drive surging power needs. He outlines data centers at city scale, the rise of bring-your-own-power and natural gas, and where renewables, storage, and nuclear fit into the build-out.
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INSIGHT

Compute Growth Drives Exponential Power Need

  • AI model improvements are driving exponential electricity demand despite semiconductor efficiency gains.
  • Will Su says we're moving into Yotaflop compute, making power a core constraint for AI progress.
INSIGHT

Inference Will Shift Power Demand Over Time

  • Training currently dominates AI electricity use but inference will grow as adoption scales.
  • Will Su compares AI's demand curve to historical industrial energy growth, implying a long runway for power needs.
INSIGHT

Data Centers Becoming City-Scale Power Draws

  • Hyperscaler data centers are scaling to gigawatt campuses that can rival cities in power draw.
  • Will Su projects data centers could reach ~12% of U.S. electricity by late decade if proposed capacity partially materializes.
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