DATA CENTRE STRATEGY
Through demand response, Google is shifting machine learning workloads to periods of lower demand or when clean energy is more readily available. The approach is designed to meet growing power needs without requiring expensive grid infrastructure upgrades.
Utility partnerships prove the concept Google has launched pilot projects with several US utilities, including Omaha Public Power District, Tennessee Valley Authority and Indiana Michigan Power, demonstrating the ability to reduce AI-related demand during critical grid events. Michael Terrell, Google’ s Head of Advanced Energy, explains:
“ By including load flexibility in our overall energy plan, we can manage AI-driven growth even where power generation and transmission are constrained.”
The approach allows more rigid projects that may have to wait years to come online as grid infrastructure and power plants are built to be fasttracked for interconnection using the grid capacity that’ s already available.
Co-locating power and compute In December 2024, Google entered a strategic partnership with Intersect Power and TPG Rise Climate to develop industrial parks with gigawatts of data centre capacity
108 December 2025