SIGNALInfrastructure Software·Jun 15, 2026, 3:22 PMSignal75Short term

Balancing AI demand and grid stability, with Duncan Burt of Reactive Technologies

Source: DataCenter Dynamics

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Balancing AI demand and grid stability, with Duncan Burt of Reactive Technologies

Emma Strutton speaks with Duncan Burt of Reactive Technologies on AI-driven power demand, grid flexibility, evolving energy infrastructure, and how data centers can support long-term grid stability.

Why this matters
Why now

The accelerating demand for AI compute capacity is creating immediate pressure on existing energy grids, making grid stability and energy infrastructure a critical and urgent conversation.

Why it’s important

Strategic readers should care because the energy bottleneck is emerging as a primary constraint on AI development and economic growth, requiring significant investment and innovation in energy infrastructure.

What changes

The focus is shifting from simply building AI data centers to strategically integrating them with grid management and flexibility, recognizing data centers as potential assets for grid stability.

Winners
  • · Grid operators and utility companies
  • · Energy storage solution providers
  • · Data centers with flexible energy management systems
  • · Renewable energy developers
Losers
  • · Data centers with rigid energy demands
  • · Regions with underdeveloped or stressed grid infrastructure
  • · Fossil fuel-dependent energy producers without flexibility solutions
Second-order effects
Direct

Increased investment and innovation in energy grid modernization and AI-driven grid management systems will occur.

Second

New regulatory frameworks and incentives will emerge to encourage data centers to participate in grid stability programs.

Third

The geographical distribution of new AI data centers will be increasingly dictated by energy availability and grid robustness, potentially leading to new tech hubs.

Editorial confidence: 90 / 100 · Structural impact: 65 / 100
Original report

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