Artificial Intelligence in Europe: Why AI Has Become a Matter of Sovereignty, Security and the Economy
Artificial intelligence in Europe is increasingly being perceived less as a separate technology sector. It is moving into the field of state strategy, economic competition, security, energy and control over digital infrastructure. This became the main line of Nexus Luxembourg 2026, which on June 10–11 brought together 9,600 participants from more than 80 countries. Time for Action examined why European institutions are beginning to speak about AI not only as an innovation, but as the foundation of technological sovereignty, and why the next decade may determine who will control data, computing power, the rules of system operation and the practical implementation of artificial intelligence in Europe. The main question running through most discussions in Luxembourg was not about individual models, services or startups. It was much broader: whether Europe will be able not only to regulate artificial intelligence, but also to independently create, implement and scale it on its own territory. This issue has become especially important because AI is already affecting not only the technology sector. It is changing the work of business, state structures, financial markets, logistics, manufacturing, science and defense. That is why control over AI is no longer reduced to control over a software product. It is about access to data, data centers, electricity, investment, talent, regulatory rules and the ability to make decisions quickly. The European Commission is increasingly clearly linking the development of artificial intelligence with technological sovereignty. This means that for the EU it is important not only to have rules for using AI, but also not to be fully dependent on external technology centers. If key models, computing power, cloud services and platforms are located outside Europe, this creates risks for the economy, security and political independence. Henna Virkkunen, European Commissioner for technological sovereignty, security and democracy, formulated this position directly.
“Artificial intelligence can no longer be viewed only as a technological issue. It is becoming one of the defining factors of competitiveness, productivity, security and resilience. That is why AI today is a matter of technological sovereignty”.
This statement shows a change in the European approach. Previously, the EU was often perceived primarily as a regulator that sets rules for the digital market. Now Brussels is trying to move toward a more active role: not only limiting risks, but also creating conditions for its own AI development. That is why at Nexus Luxembourg 2026 the idea was voiced that Europe should be not only a platform for discussions about ethics and regulation. It must become a place where AI is created, tested, implemented in business and public administration, and then scaled across the entire continent.
“Our goal is clear. Europe must be not only a place where AI is regulated, but also a place where it is developed, created, implemented and scaled. (…) Nexus Luxembourg 2026 brings together entrepreneurs, researchers, investors, companies and politicians who are shaping Europe’s technological future at an extremely important moment for it”.
For Europe, this is not only a matter of prestige. If the region does not have its own strong AI solutions, it risks remaining dependent on other people’s platforms, other people’s standards and other people’s business models. In that case, European companies, governments and citizens will use technologies whose operating rules are determined outside Europe. This is where the role of individual states appears, as they try to take their place in the new AI economy. Luxembourg is betting on the role of a platform that connects state institutions, business, startups, the financial sector, investors and technology companies. For a small country, this is a logical strategy: not to compete in scale with larger states, but to become a connection point for European and international players. Luxembourg Prime Minister Luc Frieden emphasized that the country sees its task not in narrow national competition, but in creating a platform for all of Europe.
“Luxembourg aims to become an AI platform for all of Europe. We think not in national categories, but in European ones. We need Europe’s AI, created by Europe and for Europe. Europe is capable of being a leader if it acts together. In the age of AI, no country will be able to win alone”.
This thought explains well one of Europe’s main problems: it has strong universities, companies, engineers, regulators, financial institutions and an industrial base, but these elements often work separately. AI requires a different pace. Successful will not be those who have separate strong projects, but those who are able to quickly connect science, capital, infrastructure, state policy and the market. Luxembourg is trying to use its traditional strength the ability to be an international business hub. Deputy Prime Minister, Minister of Foreign Affairs, Foreign Trade and Cooperation Xavier Bettel described this as the country’s advantage during a period of rapid technological change.
“Luxembourg continues to remain a reliable gateway to Europe for international business, bringing together state institutions, companies, startups and investors. This unique ecosystem is more important today than ever, as technological changes are transforming the economy, society and even geopolitics”.
For business, the discussion about AI has long gone beyond the question of whether it should be tested. The stage of experiments is over for companies that want to remain competitive. Now something else becomes decisive: how quickly an organization is able to embed AI into its daily work. This is not about one-time use of a chatbot or a separate automation tool. It is about a systemic change in processes: data processing, customer service, document flow, financial analysis, forecasting, production operations, risk management and decision-making. It is scaling that distinguishes companies that are simply interested in AI from those already receiving economic effect. Pierre-Adrien Grange, Country Lead Microsoft Luxembourg, formulated this as the main boundary between experiment and real leadership.
“Organizations that are winning the AI race today are not only those experimenting with the technology. They are those that are already scaling it across the entire business”.
This is important both for states and for companies. Technological advantage is no longer determined only by having access to a model. Access to AI is gradually becoming more widespread. The advantage goes to those who have data, processes, management culture, specialists and readiness to rebuild work around new capabilities. However, scaling AI cannot be only a technical task. Along with it comes the question of the values embedded in technological systems. If AI is used in public services, education, medicine, finance or security, it inevitably affects people’s rights, the quality of decisions and trust in institutions. That is why Eva-Maria Hempe, General Manager of Public Sector EMEA at NVIDIA, drew attention to the role of states in shaping technological principles.
“It is extremely important that states ensure the integration of their own values into the technologies they use”.
This statement has practical meaning. If a state uses AI but does not control the principles by which the systems operate, it risks gaining speed without responsibility. For Europe, which builds digital policy around the protection of rights, transparency and security, this is especially sensitive. A separate topic at Nexus Luxembourg 2026 was the transition from AI models to AI agents. This is one of the most important shifts in the development of the industry. The previous wave of artificial intelligence was mostly connected with generating text, images, code or analytical answers. The new wave concerns systems that can not only respond, but also perform tasks. Fouad Bousetouane, co-founder and Chief AI Officer of InterspectAI, described this direction as the future center of development.
“The future belongs to agents. They will shape our future”.
AI agents change the very logic of human interaction with technology. If a regular model responds to a request, an agent can plan an action, use tools, work with memory, perform a sequence of steps and achieve a set goal. This opens major opportunities for business and public administration, but at the same time creates new risks. The more autonomy a system receives, the more important the rules of its operation become. An agent must not only know what to do, but also understand the boundaries of what is allowed. It needs safeguards, control, a logic of priorities and clear rules for performing tasks. Pierre Stock, Vice President of Scientific Operations at Mistral AI, emphasized this part specifically.
“AI agents need tools, memory, safeguards and rules that determine how the model performs the assigned task”.
This means that the future AI economy will depend not only on the power of models. It will depend on how safely these models can act in real processes. For a bank, a state institution, a hospital or an industrial company, an error by an autonomous system can have much greater consequences than an incorrect answer in a chat. Another important focus of the summit was the changing cost of computing. According to Octave Klaba, founder and CEO of OVHcloud, in recent years the cost of obtaining significant computing power has decreased substantially.
“If four years ago a similar project required investing one billion, today 100 to 200 million euros is enough to obtain the same or even greater computing power”.
At first glance, this is good news for the market. A lower entry threshold means more chances for companies, startups and state projects. AI is ceasing to be a field available only to the richest technology giants. But the lower cost of computing does not eliminate other limitations. On the contrary, it makes them more visible. One of the main limitations is energy. Data centers require enormous amounts of electricity, stable grids, cooling and long-term planning. If a country wants to develop AI, it must think not only about programmers and models, but also about power grids, energy policy and physical infrastructure. Paul Konsbruck, representative of LuxConnect, directly linked the future of AI with the energy issue.
“The future of AI is not only a technological issue. It is also an energy issue”.
This thought is very important for Europe. The development of AI will require not only investment, but also accessible, reliable and sufficient energy. Therefore, competition between countries may take place not only through the number of startups or the amount of venture capital, but also through the ability to provide data centers with electricity and stable working conditions. The financial sector also looks at AI and digital technologies through its own lens. For it, not only the speed of innovation is important, but also the predictability of rules. Banks, investment companies and large financial players cannot build critical processes in an environment where basic requirements may change tomorrow or legal uncertainty may appear. That is why at Nexus Luxembourg 2026 much attention was paid to asset tokenization, digital financial instruments and regulatory models. For such projects, it is important to have not only technology, but also trust in the jurisdiction. Sébastien Rouyr, Head of Transfer Agency Product and Business at State Street, explained why the first tokenization project was decided to be implemented specifically in Luxembourg.
“We made the decision to implement the first tokenization project specifically in Luxembourg thanks to the local ecosystem, regulatory environment, stability and concentration of expertise available here”.
This once again shows that in the digital economy, the winner is not only the one with the boldest idea. The quality of institutions, stability of rules, access to expertise and trust from the market become important. For Luxembourg, this may become one of the key advantages in the struggle for a place in the European AI economy. Despite the different topics discussed at the summit, many speakers agreed on one thing: the main limitation today is not always the technology itself. AI is developing quickly, tools are becoming more accessible, computing is becoming cheaper, and the number of applied solutions is growing. But organizations often do not manage to change management, processes and thinking quickly enough. That is why one of the most noticeable statements was the assessment by French entrepreneur and digital transformation expert Emmanuel Vivier.
“The scarce resource today is not artificial intelligence. The scarce resource is courage. (…) 2025 became the year when AI learned to speak. 2026 is becoming the year when AI begins to act”.
This phrase accurately describes the moment in which the market finds itself. After the wave of excitement around generative models, a more difficult stage begins: not talking about AI as the future, but implementing it in real systems. This requires not only money, but also readiness to change the structure of work, take responsibility for risks and make decisions faster than before. Nexus Luxembourg 2026 did not give one answer to the question of what the future of artificial intelligence in Europe will be. But it clearly showed that a new balance of power is forming around AI. The state speaks about sovereignty, security and rules. Technology companies focus on scaling, agent systems and infrastructure. The market is looking for clear monetization models, stable conditions and practical value. Europe is entering a period when success in AI will depend not on one loud development, but on the ability to combine political will, energy, computing power, business integration, trust and rules. If these elements work separately, Europe will remain strong in regulation, but weaker in creating global AI solutions. If they are brought together into one system, the EU will get a chance not only to catch up with others, but also to shape its own technological path. The main conclusion is that artificial intelligence has become a test of speed, maturity and independence for Europe. The next stage will be determined by whether European states and companies can move from discussions to large-scale implementation. AI has already learned to speak. Now the question is whether Europe is ready to act as quickly as the technology itself is changing.
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