AI Energy Cluster – Moving from Strategy to Implementation

Photo: Energy Valley

Over the past months, AI Energy Cluster has brought together a growing ecosystem of companies, technology environments, researchers and public actors to explore how artificial intelligence can create practical value across the energy system.

Following an extensive strategy and mobilisation process, the initiative is now moving into its next phase — from exploration and alignment toward more structured collaboration, pilot development and implementation.

The strategy process has included:

  • workshops and roundtable discussions,
  • bilateral meetings and input sessions,
  • open webinars,
  • and the strategy and alignment session held on April 30.

Across these activities, several common themes emerged consistently:

  • operational AI and predictive maintenance,
  • trusted and explainable AI,
  • industrial data integration and interoperability,
  • autonomous systems and robotics,
  • security, resilience and dual use,
  • and the challenge of moving from experimentation to scalable implementation.

One of the clearest insights from the process so far is that the primary challenge is increasingly not access to AI models themselves, but rather the ability to combine AI with trusted operational context, industrial workflows, domain expertise and scalable execution.

At the same time, many participants highlighted that the challenges facing the industry are largely shared across organisations and value chains — and that there is significant value in building trusted arenas for collaboration, knowledge-sharing and joint development.

An updated strategy framework has therefore now been prepared for the next phase of AI Energy Cluster, focusing on four interconnected strategic areas:

  • Trusted Operational AI & Predictive Maintenance
  • Industrial Data Integration & Interoperability
  • Security, Resilience & Dual Use Energy Systems
  • Autonomous Systems, Robotics & Physical AI

The strategy is intentionally designed to remain practical, flexible and execution-oriented, with emphasis on gradually maturing concrete initiatives, pilot tracks and funding opportunities rather than establishing heavy organisational structures too early.

The next phase will focus on:

  • continued mobilisation and ecosystem building,
  • thematic workshops and collaboration arenas,
  • identification and prioritisation of high-value use cases,
  • pilot and project development,
  • and positioning towards national and European funding opportunities.

Several related development tracks are also now being explored in parallel, including initiatives connected to:

  • AI, robotics and operational resilience in the energy sector,
  • dual use innovation and technology transfer,
  • cybersecurity and critical infrastructure,
  • and international collaboration opportunities linked to energy security and resilience.

We have also recently received the first responses from the prioritisation survey distributed after the strategy process. The initial feedback confirms strong interest in collaborative activities related to operational AI, industrial implementation, interoperability, cybersecurity, autonomous systems and practical pilot development.

The survey remains open, and we warmly encourage additional stakeholders to contribute:
👉 https://forms.gle/XzXGvt9CtK9arFiK9

The input will help shape:

  • upcoming workshops and thematic activities,
  • future collaboration tracks,
  • pilot and project priorities,
  • and potential funding and innovation initiatives moving forward.

AI Energy Cluster is intended as an open and collaborative platform, and we welcome dialogue with companies, researchers, technology environments, public actors and organisations interested in contributing to the next phase.

If you would like to:

  • participate in future workshops,
  • contribute use cases or expertise,
  • explore pilot opportunities,
  • discuss funding possibilities,
  • or engage in future collaboration activities,

please feel free to reach out.

The transition from AI experimentation to operational implementation across the energy system is still in an early phase — and the importance of trusted collaboration across sectors is becoming increasingly clear.

We look forward to continuing the journey together.

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