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Innatera is building a new class of ultra-efficient AI chips that operate quietly at the edge. But as intelligence becomes invisible and embedded everywhere, a deeper question emerges: who controls the systems we no longer see — but increasingly depend on?
Axelera AI is emerging as one of Europe’s most promising chip companies, redefining AI at the edge. But behind its technological breakthrough lies a deeper question: can Europe retain control over innovation — or will scale once again shift power elsewhere?
As governments increasingly rely on AI to detect risk and enforce rules, the nature of state power is shifting. This article examines how the AI Act seeks to prevent automated injustice and safeguard transparency, accountability and fundamental rights in the algorithmic state.
As Project Beethoven accelerates Brainport Eindhoven’s growth, the real challenge shifts from ambition to capacity. Talent shortages, housing pressure and governance gaps reveal a deeper question: can the system sustain its own success — or will scale become its biggest constraint?
As Suriname prepares for offshore oil production, pressure on its education system is visible. expat demand, limited capacity and parallel tracks for locals and internationals reveal a deeper challenge: aligning education, governance and workforce development before the boom reshapes society.
As Europe invests billions into Project Beethoven, Brainport Eindhoven is rapidly evolving from an innovation hub into a full-scale industrial ecosystem. But can it scale fast enough to meet geopolitical expectations, talent demands and the pressure of technological sovereignty?
As AI systems increasingly determine who gets hired, the labour market is shifting from human judgement to algorithmic decision-making. This article explores how the AI Act addresses bias, transparency and accountability in hiring, reshaping fairness and access to work.
Europe is building a digital euro to reduce dependence on foreign payment systems. But as money becomes infrastructure, the real question shifts: not what money is, but who controls access to the system through which it flows.
As artificial intelligence enters classrooms, education is shifting from pedagogy to data-driven decision-making. This article explores how the AI Act classifies educational AI as high-risk—and what that means for fairness, human judgement and the future of learning.
As artificial intelligence and economic volatility reshape work and knowledge, education can no longer function as a one-time phase. This final essay argues for a new social contract—redefining education as continuous infrastructure that sustains capability, trust, and societal resilience.
