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Decisions are increasingly made by systems that cannot explain themselves. As performance improves, understanding fades. Between efficiency and accountability, a structural tension emerges—one that challenges how we define reasoning, responsibility and control in the age of AI.
Europe’s Artificial Intelligence Act is the world’s first comprehensive attempt to govern AI. This series explores how the regulation reshapes decision-making across finance, education, labour markets and government—revealing how algorithms are becoming a central question of power, accountability and democratic oversight.
The transformation of telecom networks is often described in technical language — cloud-native cores, autonomous operations, AI-driven optimization. Yet beneath the architecture diagrams and vendor roadmaps lies a deeper challenge, one that cannot be solved by software alone.
While the world marvels at data centers and NVIDIA chips consuming electricity equivalent to small cities, a two-year-old sits on the floor of an ordinary daycare. Using no more than a dim household bulb’s worth of energy—20 watts—this child performs feats Silicon Valley can only dream of: learning a language, understanding sarcasm, recognizing a banana, whether drawn, plastic or half-eaten.
If the past few years felt fast, 2025 is something else entirely. Suddenly everyone is talking about Kosmos, “AI scientists”, autonomous agents and systems that seem to learn, reason and create at unbelievable speed. But for most people, the AI world feels like a maze: many names, many models and very little clarity.
Artificial Intelligence is transforming the way we live and work, but a persistent question remains: can empathy be built into algorithms? Across Europe, companies and designers are experimenting with human-centered AI — systems designed to understand, anticipate and respond to human needs. From healthcare to workplace tools, the goal is to make AI not just intelligent, but empathetic.
