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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.

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

Key considerations for integrating AI

Energy companies and industrial manufacturers

Energy and industrial manufacturing companies are the main drivers of AI deployment as the end-users and owners of operational data. Prioritizing high-quality data, cybersecurity and governance can help with implementation, while investing in scalable applications like AI-driven asset optimization, predictive maintenance and real-time system balancing can help generate rapid returns and resilience.

Technology companies

Technology companies are among the engines of AI innovation and key to tailoring to the needs of the energy sector. By investing in complementary technologies like Internet of Things (IoT) and digital twins and collaborating with energy and industrial manufacturing companies they can provide solutions for grid stability, demand forecasting and predictive maintenance.

Financial services providers

Financial services providers are important for scaling sustainable and resilient AI-driven innovation. By deploying innovative financing instruments—green and sustainability-linked bonds, concessional loans, and mezzanine financing mechanisms—they can support deployment of sustainable, sovereign AI in energy projects adopting leading efficiency standards and flexible grid integration.

Governments and policymakers

Governments and policymakers can play an important role in creating the conditions for responsible, sovereign AI adoption in energy systems. By establishing standards, harmonizing secure data-sharing, investing in high-quality datasets, building local capacity through education and public-private partnerships, and maintaining flexible regulatory frameworks, they can accelerate innovation in AI and its adoption.

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