The European Commission’s Technological Sovereignty Package puts digitalisation and AI in energy among the EU’s top strategic priorities. The technology agenda is now set. The talent agenda must catch up, and that is where AI4GreenDeal comes in.
On 3 June 2026, the European Commission presented its Technological Sovereignty Package, built on four pillars: the Chips Act 2.0, the Cloud and AI Development Act, an EU Open Source Strategy, and a Strategic Roadmap for Digitalisation and AI in the Energy Sector. That fourth pillar is a landmark for energy education. For the first time, the digitalisation of Europe’s energy system, and the role of AI within it, sits at the same strategic level as semiconductors and cloud infrastructure.
The roadmap is concrete. It calls for data centres to be integrated into national grid planning, for AI to be deployed across the energy system (grid optimisation, demand-side flexibility, energy efficiency in buildings and industry), and for an efficiency rating scheme for data centres. According to the Commission’s Q&A on the roadmap, it commits roughly €75 million to AI in energy and around €190 million to wider digital energy solutions under Horizon Europe. It is also explicit about sovereignty: Europe needs trusted AI models for its energy sector, trained on European data and built by European companies.
We welcome this. It confirms what the sector has been signalling for years: the shift to clean energy and the shift to digital are the same shift. But the roadmap’s success will depend on something it can only gesture at. Sovereign AI in energy will be built by engineers who understand both how a power system works and how an algorithm learns, and Europe does not have nearly enough of them.
The talent gap is the binding constraint
The evidence points one way. The International Energy Agency projects that electricity consumption from data centres will more than double by 2030, and estimates the number of energy-sector graduates needs to grow by around 43% by 2030 to meet demand. Its survey of more than 190 energy companies found the share of energy job postings requiring at least one digital skill rose by roughly 20% in the US and UK, while only about half of employers considered applicants adequately prepared. IRENA reports that 60% of stakeholders see the shortage of skilled workers as a critical or high-level barrier to power system digitalisation. The World Economic Forum finds skill gaps to be the single largest barrier to business transformation, cited by 63% of employers.
Our own analysis agrees. In May 2026, KU Leuven published the AI4GreenDeal Skills Gap Analysis and Product Strategy, combining a curriculum review across four European universities with an industry survey, large-scale mining of energy job postings, and validation sessions with students and alumni. It identifies four gaps between what energy engineering education delivers and what the sector now requires: digital thinking in energy systems, broad AI literacy, specialised algorithm knowledge, and big data analytics. Today’s energy talent pipeline still delivers excellent engineering fundamentals. What it too rarely provides is the ability to turn an energy problem into a computational one, and to judge critically what an AI system produces.
From policy signal to teaching programme
AI4GreenDeal, co-funded by the European Union under the Digital Europe Programme and coordinated by InnoEnergy, exists to close this gap. With KU Leuven, KTH, Grenoble INP, UPC, ESADE and industry partners across ten EU countries, we are evolving a proven European master’s programme, Energy for Smart Cities, into Advanced Energy Systems and AI: a 120 ECTS double degree taught in two countries, with AI and data science built into the energy engineering courses themselves and stackable online modules for working professionals alongside. The programme is co-designed with the companies that will employ its graduates, and their message in our survey was consistent: they need hybrid profiles of engineers who combine energy expertise, digital competence and the critical judgement to supervise AI rather than merely use it. Where the T-shaped engineer once defined the gold standard, deep technical expertise plus broad business skills, today’s sector demands the π-shaped engineer: someone who is equally fluent in energy systems and in data and AI. Bilingual, in the deepest sense.”
Riding the wave, responsibly
The Commission has set the direction and put resources behind it. The task now is to make sure Europe’s talent pipeline matches its technology ambitions. That is a job for universities, industry and policymakers together, and it is the job AI4GreenDeal was created to do.
By Prof.Dr.ir. Frank Gielen, Masters+ Director, InnoEnergy
AI4GreenDeal is co-funded by the European Union under the DIGITAL programme, supporting Europe’s strategic priorities in advanced digital education, innovation and the green transition.