Intelligent energy

Explore how industries are harnessing AI to thrive in the intelligent economy

AI in energy is about more than just adopting new technologies

Scaling AI is about reimagining the enterprise and meeting the energy trilemma head on, embedding intelligence across the value chain to secure supply, decarbonise and control costs. Our findings provide guidance for navigating that future.

The energy sector faces an unprecedented trilemma of affordability, reliability, and sustainability as AI emerges as a transformational force reshaping operations.

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At-a-glance insights:

The industry is preparing for an AI future, with early successes

of companies are embedding AI into their offerings.

60%

have had ROIs greater than 10 percent

of companies are scaling AI initiatives and 44 percent are integrating AI as a core part of their operations.

have invested in an automated data fabric or hybrid cloud, cross platform, data integration

64%

operate an enterprise-wide cloud or hybrid-cloud IT infrastructure

Experimentation is a critical investment area

92%

believe that organizations that embrace AI will develop a competitive edge over those who do not

96%

are investing in future-focused projects without the expectation of immediate returns

AI adoption in energy has moved beyond pilot projects. Despite differences between regulated and unregulated entities (as well as the specific nuances of individual sub-sectors), the challenges and opportunities around AI tend to be broadly consistent. Companies across the energy value chain are converging on common AI use cases in areas like operational efficiency, asset optimization, safety, sustainability and predictive maintenance.

Data-driven decision making tops the list of AI benefits

How you can realise value from an AI transformation journey

To address these challenges, KPMG introduces the three phases of AI value — a framework designed to guide energy companies through the AI adoption journey. This phased approach provides a structured roadmap, helping the energy industry prioritise investments, align initiatives with business goals, and position themselves effectively in the age of AI in energy. Click on each of the phases below to find out more.

Enable

The Enable phase establishes the foundations for AI adoption and focuses on creating awareness, experimentation and alignment to help ensure the organisation is prepared for broader AI integration. This includes developing an AI strategy, increasing AI literacy, learning from initial implementations and more.

Embed

The Embed phase integrates AI into end-to-end value streams and transforms ways of working across the enterprise. A senior leader, supported by a capable transformation office, oversees enterprise-wide change.

Evolve

The Evolve phase transforms enterprises so they can anticipate market disruptions, forming new business models and ecosystems to solve larger, industry-wide problems. Energy companies move beyond internal optimisation and become orchestrators of interconnected ecosystems, seamlessly integrating producers, grid operators, industrial consumers, governments and sustainability initiatives.