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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.
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.
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.
Last Friday at Nieuwspoort, former ASML CEO Peter Wennink presented his report, “The Netherlands: From Delay to Action”, outlining a roadmap for the country’s economic future. Central to his vision is a shift toward a technologically advanced and highly productive society, supported by top-tier education and resilient economic structures. Wennink emphasizes that the Netherlands cannot rely on incremental policy adjustments alone; achieving long-term prosperity requires decisive action to secure technological leadership and strengthen national earning capacity.
Artificial intelligence is no longer a peripheral technology for Europe’s telecom operators. Companies such as Vodafone, Deutsche Telekom, T-Mobile and KPN are increasingly embedding AI deep into their networks, operations and strategic positioning. What was once a tool for optimization is now becoming a prerequisite for survival in a sector under pressure from low margins, heavy regulation and global technological competition.
China rarely dominates Western headlines in the same way as Silicon Valley or Brussels, yet few countries shape the global future of artificial intelligence as quietly and consistently. While public debate in Europe and the United States often focuses on regulation, ethics and market competition, China has taken a different path. It treats AI not as a standalone sector, but as a strategic foundation for national power.
Nokia is one of those rare European companies whose history mirrors the broader story of industrial transformation. What began in the nineteenth century as a timber and paper business evolved into an industrial conglomerate, later became a global icon in mobile phones and now finds itself at yet another turning point. After losing the smartphone race to Apple and Google, Nokia did not disappear. Instead, it quietly began reinventing itself — and today that reinvention increasingly revolves around artificial intelligence.
Europe is home to some of the world’s most prestigious AI faculties. Institutions like ETH Zürich, the Technical University of Munich, EPFL, Oxford and Cambridge consistently produce research that ranks among the very best globally. Their professors are leaders in fields such as robotics, neuro-symbolic AI and trustworthy AI, attracting top PhD students and forming vibrant hubs of expertise. With such talent and intellectual firepower, Europe should, on paper, be a major force in the AI landscape.
If artificial intelligence had a political wing, Mustafa Suleyman would be its foreign minister — calm when required, forceful when necessary and always negotiating the uneasy peace between technology, society and the people convinced they’re about to be replaced by a very ambitious spreadsheet.
If artificial intelligence had a conscience, Demis Hassabis would probably be the one trying to map it. Calm, analytical and quietly intense, he moves through the AI world not like a CEO but like a scholar who accidentally founded a company that changed the trajectory of science.
