What began as a mission to connect global utilities with the world’s most value-adding energy-tech startups has evolved into an engine for the global energy transition: As we mark the 10th anniversary of the FREE ELECTRONS™ program, I realize that the global energy landscape has drastically changed since its initiation. For energy utilities, more so for E.ON, which is managing some of Europe’s largest energy networks, the challenge has shifted from simply maintaining infrastructure to orchestrating a complex, data-driven ecosystem: Rising to this quest requires constant adaption and innovation. Therefore, E.ON underwent unprecedented digitization transformations and consistently enhances its toolset, methodologies, setups and skillset to turn the massive challenge into a unique opportunity.

The AI Challenge: A New Frontier of Demand 

The conversation around Artificial Intelligence is – especially for us utilities – inseparable from the physical infrastructure that powers it: Both are highly interdependent. In Europe we are witnessing an unprecedented rise in energy demand driven by electrification, digitization and the vast computational power required for AI. This is no longer a theoretical concern, but a physical reality for our grids. Here, I see data centers as the complex modern two-way “factories” of the digital age, and their integration requires us to move beyond traditional, predictable systems toward a future defined by flexible flows and high-speed adaptation. 

The AI Solution: The Intelligent Enabler 


While AI does place new loads on the grid, I am convinced that it is also the most effective tool – particularly for energy companies – for achieving net-zero emissions targets. At E.ON we believe that when sustainability is the core focus, AI transforms from an energy consumer into an energy optimizer. We are moving toward a “cognitive infrastructure” where intelligence sits above physical assets to orchestrate the systems. Here are a few examples of how this could look like for us at E.ON:

  • Grid Optimization & Circular Infrastructure: 

    AI-driven tools are now faster than ever, allowing us to manage the volatility of renewable energy by predicting generation and consumption patterns in real-time. 

    In a unified ecosystem where the grid and our customers operate as one, data centers are contributors to circular energy usage. For example, by using AI to orchestrate thermal flows, we can capture and redirect waste heat from server halls into local district heating networks, turning a digital byproduct into a physical resource for the community. This is an already exercised approach in multiple countries.

  • Virtual Orchestration:

    Through technologies like Virtual Power Plants (VPPs) and automated flexibility, we can treat data centers not just as loads, but as active participants in grid stability. AI-driven platforms allow us to manage distributed assets, including the batteries within data centers themselves, as part of a VPP. This turns massive loads into “intelligent” participants that can automatically reduce demand (underutilized servers) or provide backup power to the grid during periods of peak stress.

  • Digital Twins for Grid Resilience:

    The rate of change in technology, boosted by AI-driven design tools, allows us to create highly accurate digital replicas of our energy networks. These digital twins enable us to simulate “weather bombs” or extreme load shifts, ensuring our infrastructure remains secure and affordable while integrating record numbers of renewable sources.

Looking beyond the data centers, E.ON has more than 100 AI use cases within its operations, where we either explore, pilot, deploy or scale solutions. They reach from business process automatizations over industrial applications to customer facing implementations – intended to boost employee productivity, maximize grid efficiency, enhance customer centricity, and many more. Despite the great number of use cases, we are well aware that we are touching just the surface of what is possible to improve with AI.

Data Sustainability as a term 

New innovations require also expanding our terminologies. Almost a decade ago I researched the topic of Environmental, Societal and Governance (ESG) in business context and wrote articles about it. I realized that the already back then enormous amounts of data were wholly excluded from any calculations about sustainability goals. Although data has become significantly more important today, it remains more of an asset than a tool for optimizing one’s carbon footprint. In the “Age of AI” data quantities are reaching levels beyond human imagination. This is exactly why, it’s not just energy utilities who need to come up with a strategy for dealing with the increasing complexity and data-driven ecosystem – it’s also every major (tech-)company’s responsibility to come up with a sustainable data strategy, which not only includes data strategy & compliance, but also data efficiency and the support of clean energy sources. These are the four aspects I have grouped under the term “data sustainability,” which aim to promote green innovations in the field of digitalization, including AI developments. 

A Global Ecosystem for a Global Problem 

Whether it’s AI, data centers or the energy industry, one thing is for sure: The scale of the climate crisis knows no borders, and neither should our innovation efforts. Through FREE ELECTRONS™, E.ON collaborates with global partners like CLP, EDP, ESB, Hydro Québec,  Origin Energy and PPC Group to leverage a collective customer base of close to 90 million people. This program allows us to pilot and scale startup solutions that ensure AI development remains synonymous with energy efficiency.

In this new era, our success will not be defined by a single technology, but by how intelligently we integrate digital and physical layers. By focusing on “Sustainable AI,” we aren’t just responding to the winds of change, we are harnessing them to secure an affordable, low-carbon future for all

Eljar Akhgarnusch
Senior Innovation Leader, E.ON


Eljar Akhgarnusch is a Senior Innovation Leader with more than a decade of experience driving transformations at the intersection of energy, technology and consulting. In his role he scouts, evaluates and scales cutting-edge technologies from startups and corporations alike for E.ON to accelerate the energy transition. With his strong expertise in shaping sustainable business models, building global partnerships and breaking down silos across corporate and startup environments, he helps E.ON to transform their operations for the digital, decarbonized future.