Quantum computing is often presented as a technological race: who has the most qubits, the lowest error rates or the boldest scientific claims. That framing is misleading. The real story unfolding in 2025 is not about hardware benchmarks, but about how societies choose to organize technological power.
Here’s Finn the Duck, your fluffy yellow ace reporter, keeping it short, sharp and grown-up.
Artificial intelligence is often framed as a consumer-facing technology, driven by chatbots, platforms and foundation models. Yet some of the most consequential AI systems in Europe operate far from public view, embedded deep within the digital infrastructure that keeps societies connected. Ericsson stands at the centre of this invisible layer.
Algorithms rarely draw attention to themselves. They do not speak, persuade or campaign. Yet they increasingly decide how we move through cities, how markets function and how information reaches us. Their influence is subtle, procedural — and deeply political. To understand why algorithms matter today, it helps to start somewhere deceptively simple.
While much of the global AI conversation is dominated by American hyperscalers and Chinese platform giants, a quieter — yet arguably more consequential — transformation is unfolding in Europe. At the center of this shift stands Siemens, a company better known for turbines, factories and rail systems than for artificial intelligence. Yet today, Siemens is emerging as one of Europe’s most strategically important AI actors, not by chasing consumer AI dominance, but by embedding intelligence deep into the continent’s industrial and infrastructural backbone. This is not AI as spectacle. It is AI as system logic.
Artificial intelligence has quietly become one of the most loaded words in European education. Not because of what it can do, but because of why institutions increasingly want to use it. Across Europe — and notably in the Netherlands — higher education institutions are facing financial pressure. Budget cuts, rising costs and structural reforms are pushing boards to look for efficiency gains. In that context, AI is often framed as an obvious solution. Faster processes. Fewer people. Lower costs. That framing is understandable — and fundamentally flawed.
When the European Union began drafting the AI Act, Spain was already ahead of the curve. Today, it is not an exaggeration to say that Spain is one of the founding architects of Europe’s AI regulation. While other countries are still debating the balance between innovation and safety, Spain has taken concrete steps: establishing a national AI agency, investing in world-class infrastructure and even building AI systems that reflect its own languages and culture. In a continent searching for technological sovereignty, Spain is quietly becoming a model for how to do it right.
Europe is often portrayed as slow-moving and fragmented in the global technological debate. Headlines from the U.S. and China dominate with news about AI, digital platforms and robotics. But beneath that noise, a different story is emerging: Europe possesses a unique opportunity to renew its industrial strength, and the fashion and manufacturing industries provide a particularly compelling example.
Readers, today I want to share my observations on the choice of image for Altair Media’s new series “Understanding AI’s New Reality” — the old analogue speedometer with its multiple needles.
Whoever wants to understand artificial intelligence in Europe must first understand the cloud. And whoever understands the cloud will see why Europe’s focus on rules, governance and strategic positioning is not a brake on innovation, but a form of power.
