AI Energy Cluster: From Strategy to Implementation

Building a National Collaboration Platform for AI in Energy and Industry

Artificial Intelligence is rapidly moving from experimentation to implementation across the energy sector.

Over the past months, AI Energy Cluster has brought together companies, technology providers, research institutions, investors and public-sector stakeholders to explore how AI can create practical value across energy systems, industrial operations and critical infrastructure.

The strategy process recently culminated in a workshop hosted by Thommessen in Oslo, bringing together participants from across the energy, technology and innovation ecosystem.

A special thank you to Snorre Valdimarsson and the team at Thommessen for once again providing excellent facilities and hospitality. The venue provided an excellent setting for open discussions, knowledge sharing and collaboration.

We would also like to extend our sincere thanks to Eli Karine Navestad, Christopher Sparre-Enger Clausen and Bjørn Ravndal for sharing valuable insights and helping set the stage for the discussions.

Bjørn highlighted the growing importance of Operational AI and Predictive Maintenance, while Eli Karine and Christopher provided practical perspectives on Trusted AI, governance, cybersecurity, compliance and implementation challenges related to the EU AI Act and operational deployment.

The presentations are available upon request for those who would like to learn more.

Strengthening National Collaboration

As AI Energy Cluster moves into its next phase, Energy Valley is strengthening collaboration with both GCE Ocean Technology and Energy Transition Norway.

This collaboration is part of a broader effort to increase cooperation across the three clusters. The shared ambition is to establish Energy Cluster Norway as a common cluster organisation from 1 January 2027.

In this context, AI Energy Cluster is being developed as a concrete example of how the three environments can work together around shared strategic priorities.

Going forward, GCE Ocean Technology and Energy Transition Norway are expected to take a more active role in the initiative, both administratively and through mobilisation of their member companies.

Together, the three cluster environments represent a significant national network across:

  • energy,
  • offshore and maritime industries,
  • technology and digitalisation,
  • industrial operations,
  • research and innovation,
  • and critical infrastructure.

The objective is to develop AI Energy Cluster into a broader national collaboration platform for applied AI in energy, industry and critical infrastructure.

The challenge is no longer AI itself

One of the clearest messages emerging from both the strategy process and the workshop discussions was that the primary barriers are no longer technological.

Most organisations already recognise the potential of AI.

The key questions have become:

  • How do we implement AI in operational environments?
  • How do we move from pilot projects to industrial deployment?
  • How do we create measurable business value?
  • How do we establish trust in AI-driven decisions?
  • How do we manage governance, cybersecurity and compliance requirements?
  • How do we scale successful initiatives across organisations and value chains?

Across discussions, participants repeatedly highlighted that implementation, organisational readiness, data integration and change management often represent greater challenges than the AI technology itself.

Key themes emerging from the strategy process

Several priority areas consistently emerged throughout interviews, workshops, surveys and strategy discussions.

Predictive Maintenance & Asset Reliability

Strong interest was expressed around:

  • condition monitoring,
  • anomaly detection,
  • degradation modelling,
  • fatigue and corrosion monitoring,
  • vibration analysis,
  • performance optimisation,
  • and operational reliability.

Participants noted that many mature use cases already exist, but that scaling and operational adoption remain significant challenges

Trusted Operational AI

As AI moves closer to critical operations and decision-making, trust becomes increasingly important.

Topics discussed included:

  • explainability,
  • accountability,
  • governance,
  • cybersecurity,
  • regulatory compliance,
  • AI Act requirements,
  • and operational confidence.

Industrial Data Integration & Interoperability

A recurring observation was that many AI initiatives are constrained by fragmented data landscapes, legacy systems and limited interoperability.

Data contextualisation and integration were repeatedly identified as key enablers for future AI deployment

From Pilots to Scale

Several groups discussed the need to better define:

  • what constitutes a successful pilot,
  • how value should be measured,
  • when a solution is ready for operational deployment,
  • and how organisations can move from proof-of-concept to large-scale implementation.

Change Management & Business Value

Technology alone is rarely the limiting factor.

Successful implementation depends equally on:

  • organisational readiness,
  • stakeholder engagement,
  • business case development,
  • leadership commitment,
  • and demonstrating measurable value creation.

Building a collaborative platform

The strategy process has reinforced the need for a trusted arena where energy companies, technology providers, AI companies, research organisations, investors and end users can collaborate around shared challenges and opportunities.

The ambition of AI Energy Cluster is to support:

  • knowledge sharing,
  • project development,
  • pilot initiatives,
  • funding opportunities,
  • and collaboration across sectors and value chains.

Through closer cooperation with GCE Ocean Technology and Energy Transition Norway, the initiative will gain access to a broader national member base and stronger links across different parts of the Norwegian energy, offshore, maritime and technology ecosystem.

Help Shape the Next Phase

As we move from strategy towards implementation, we are inviting organisations across the ecosystem to help shape the next phase of AI Energy Cluster.

Over the past months we have gathered input through:

  • bilateral meetings and interviews,
  • the strategy survey conducted in May,
  • workshops and strategy discussions,
  • and written feedback received during the workshop on 18 June.

Several participants also asked whether they could submit additional reflections after the workshop.

To consolidate and update the input received so far, we have therefore launched a short follow-up survey.

Complete the survey here Click here to go to survey

The survey is intended to:

  • validate and prioritise focus areas,
  • identify potential working groups,
  • identify pilot opportunities,
  • identify project development initiatives,
  • and map interest in future collaboration activities.

If you already responded to the May survey or completed a paper form during the workshop, thank you. You are welcome to update, refine or expand your previous responses where relevant.

The survey is equally relevant for those who participated in the workshop and those who were unable to attend.

What Happens Next?

Input from the strategy process, workshop discussions and survey responses will now be used to:

  • refine priority focus areas,
  • identify pilot opportunities,
  • establish thematic working groups,
  • support project development,
  • explore relevant national and European funding opportunities,
  • and strengthen collaboration across regional and national innovation environments.

Together with GCE Ocean Technology and Energy Transition Norway, the ambition is to identify a small number of concrete collaboration tracks that can be developed further through AI Energy Cluster after the summer.

Potential activities include:

  • industry working groups,
  • pilot projects,
  • Joint Industry Projects,
  • national funding applications,
  • Horizon Europe and other EU opportunities,
  • and demonstration initiatives focused on operational deployment of AI in energy and industrial environments.

Whether your organisation is exploring AI, implementing AI solutions today, or looking for partners for future projects, we would be delighted to hear from you.

Together, we can help accelerate the responsible and value-driven adoption of AI across the Norwegian energy and industrial ecosystem.