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.
Reimagining energy
Key insights
- Leadership goals
- The AI future
- Experimentation
- Quotes
Leadership goals for AI adoption focus heavily on operational gains rather than strategic value
The industry is preparing for an AI future, with early successes
80%
of companies are embedding AI into their offerings. 60% have had ROIs greater than 10 percent.
56%
of companies are scaling AI initiatives and 44% are integrating AI as a core part of their operations.
63%
have invested in an automated data fabric or hybrid cloud, cross platform, data integration.
Experimentation is a critical investment area
92%
Believe that organisations 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.
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.
Realising value from your 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 to find out more.
Enable
The Enable phase focuses on enabling people and building AI foundations. Organisations appoint a responsible executive, create an AI strategy, identify high-value use cases, boost AI literacy, align with regulations and establish ethical guardrails. AI pilots are launched across functions, while cloud platforms and pre-trained models are leveraged with minimal customisation.
Embed
The Embed phase integrates AI into workflows, products, services, value streams, robotics, and wearables, delivering greater value. A senior leader drives enterprise-wide workforce redesign, re-skilling and change, embedding AI into operating models with a focus on ethics, trust and security. AI agents and diverse models are deployed, supported by cloud and legacy tech modernisation, while enterprise-wide data enhances operations.
Evolve
The Evolve phase evolves business models and ecosystems, using AI and frontier technologies like quantum computing and blockchain to solve large sector-wide challenges. AI orchestrates seamless value across enterprises and partners. Emphasising ethics and trust with real-time security, this phase uplifts human potential with broad and deep workforce training, fostering a creative, innovative and value-driven future.
Get in touch
- Item 1
- Item 2
- Item 3
