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.

At-a-glance insights:

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

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Experimentation is a critical investment area

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Data-driven decision making tops the list of AI benefits

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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.

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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.

Our executive summary provides a cross-sector view of how organisations are navigating the opportunities and challenges of implementing AI. Download the executive summary to see the blueprint for intelligent industries to help you become an AI-powered, customer-centric organisation ready to thrive in the intelligent economy.

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