By 2030, renewables will supply 43% of global power—over 4,600 GW, twice 2022’s total. Yet nearly one point of today’s demand growth stems from “AI + AC.” Data centers, once grid burdens, now accelerate renewables—adding 110 TWh, or ~54 GW, of clean capacity by 2030.
Brandon Owens
OpenAI’s 6-GW deal with AMD marks AI’s growing dependence on real power. It’s a milestone linking silicon to substations, forcing planners and policymakers to treat compute demand as part of the energy system, not apart from it.
Brandon Owens
Flexible data centers are reshaping the grid—shifting from rigid energy consumers to dynamic partners. By embedding flexibility into software, markets, and regulation, they promise cleaner, cheaper, and more resilient power while redefining the balance between digital and energy systems.
Brandon Owens
Hyperscale data centers are reshaping the grid. Beyond renewable contracts, their true test is flexibility—using batteries, orchestration, and demand response to replace fossil redundancy. The future of AI depends on whether hyperscalers embed adaptability into reliability.
Brandon Owens
The America’s AI Action Plan recognizes AI’s massive energy demands and offers tools for permitting, workforce, and diplomacy. Yet it remains a political document, sidestepping climate goals and privileging fossil reliability over renewables—leaving decarbonization unfinished.
Brandon Owens
The Utility AI Value Framework helps utilities prioritize AI and GenAI by scoring reliability, renewables, cost, customer, compliance, and innovation. With 25 key use cases, it shows how priorities differ by utility type and context, while stressing data quality, workforce, and governance.
Shailesh Jain
AI-driven data centers are reshaping the grid, turning from static loads into flexible assets that support reliability and decarbonization. With Google leading the way, this shift demands new policies, pricing models, and equity safeguards to align digital growth with grid resilience.
Brandon Owens