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AI for energy systems

Unlocking sustainable AI for a resilient energy transformation

This report explores how strategically deploying artificial intelligence (AI) solutions across energy systems can help deliver significant economic and environmental benefits.

AI: Powering smarter, stronger and sustainable energy systems

Energy systems face mounting challenges—from rising demand to environmental concerns and the need for enhanced resilience.

AI offers a key solution to help transform energy systems—while saving substantially more energy than it consumes. By optimizing operations and enhancing system reliability, AI can help drive energy efficiency, cost savings, and emission reductions.

By 2050, AI could save almost 12,000 terawatt-hours (TWh) of energy and unlock nearly US$500 billion in cost reductions, while avoiding substantial emissions annually.

Potential benefits by 2030

Up to 3,700
TWh

Annual energy savings enabled by AI by 2030—triple its projected use.

Up to US$240 billion

Annual cost savings from AI integration by 2030.

Up to 660 MtCO2eq

Annual emissions avoided through AI adoption by 2030.

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Projected impact of AI across 2030–2050: energy savings, economic benefits and sustainability

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Key considerations for integrating AI

Roadmap to unlock AI’s potential in energy systems

Unlocking AI’s potential in energy systems calls for public and private stakeholders to collaborate in overcoming barriers like data access, skills, infrastructure, and governance. Additionally sovereign AI principles can help ensure that AI systems remain trustworthy and aligned with public interests.

This report provides a timely and actionable roadmap for leaders to harness AI to help ensure a secure, inclusive and sustainable energy future.

Leaders in the energy sector are navigating a transformation of scale and complexity. This presents an opportunity to reimagine the future of energy enabled by the responsible and strategic application of AI.

- Jennifer Steinmann, Deloitte Global Sustainability Business leader