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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.
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.
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.
Photonics underpins the digital systems that power modern societies, from fibre-optic networks to advanced semiconductors. As China develops its own EUV prototype and technology ecosystems fragment, control over light is emerging as a key geopolitical asset. Europe’s current leadership is real — but not guaranteed.
Photonics is not a buzzword. It is the technology that carries the internet across oceans, enables chips to be etched at atomic scale and forms the foundation of future quantum systems. From fibre-optic communications to advanced manufacturing, photonics has become a critical enabler of modern societies. By 2030, the global photonics market is expected to exceed one trillion dollars. Yet at the heart of this rapidly expanding field lies a strategic chokepoint: extreme ultraviolet (EUV) lithography.
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.
Artificial intelligence is often discussed at the level of cloud infrastructure, foundation models and geopolitics. Yet its most immediate societal impact may unfold much closer to home. As AI increasingly becomes embedded in consumer products — from smart appliances to home automation systems — European retailers find themselves at the frontline of the next phase of AI adoption. MediaMarktSaturn Group, Europe’s largest consumer electronics retailer, offers a revealing lens into how this transition may unfold.
Artificial intelligence is often discussed as a single phenomenon, but its complexity resists one-dimensional explanations. AI is not only a technology, nor merely a market, nor just a political issue. It operates simultaneously at three interconnected scales: the macro level of geopolitics and power, the meso level of infrastructure and industrial capacity and the micro level where citizens, companies and institutions encounter AI in daily life.
Artificial intelligence is no longer a question of if, but of how it will shape the global order. By 2030, AI will underpin economic growth, national security and everyday life. Yet the future is not predetermined. The trajectory of AI depends on political choices, market dynamics and societal values that are unfolding today. Three plausible scenarios illustrate how different paths could lead to very different AI worlds.
Artificial intelligence is usually discussed in extremes. Policymakers focus on the macro level, debating global power, competition between the United States, China and Europe, and the broader strategic consequences of AI. At the other end, the public and businesses experience AI at the micro level, through products, automation and daily decision-making. But the meso layer — the physical and organizational infrastructure that makes AI possible — is often invisible in the conversation. And yet, it is precisely this middle layer that explains why AI debates frequently stall.
