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Meta is investing hundreds of billions in AI infrastructure. China is making artificial intelligence increasingly affordable. As these two strategies collide, Europe may face its greatest technological challenge yet: can digital sovereignty survive the economics of everyday choice?
Behind ASML lies a broader European ecosystem stretching from Eindhoven and Leuven to Dresden and Grenoble. Understanding the future of ASML may therefore require understanding the networks of expertise, research and industrial collaboration that surround it.
ASML helped define the technological architecture of the modern semiconductor industry. Yet history suggests that every control point eventually faces new challenges. The company’s next test may not be achieving leadership, but maintaining relevance as technology, markets and geopolitics continue to evolve.
ASML does not manufacture chips. It manufactures the machines required to produce them. As artificial intelligence and semiconductor demand continue to grow, the company increasingly resembles something more than a technology supplier: a form of strategic infrastructure.
As Europe seeks independence from American tech giants, institutions like De Nederlandsche Bank are making deliberate trade-offs—accepting less mature technology today in exchange for greater control tomorrow.
As photonics moves from lab to platform, chips begin to sense, measure and interact with the physical world. From healthcare to quantum systems, this shift marks a transition from processing information to perceiving reality.
For decades, chips have relied on invisible infrared light to move data. A new shift is emerging, where visible light introduces precision, sensing and interaction—moving technology beyond transport toward a deeper connection with the physical world.
Blue light is emerging as the next frontier in chip technology. As photonics moves beyond infrared, new materials and architectures are redefining what chips can do—shifting from data transport toward precision, sensing and interaction with the physical world.
Europe’s approach to AI is not defined by speed or scale alone, but by the conditions under which systems operate. As capability, deployment and governance converge, the question becomes whether Europe can build AI on its own terms.
As AI reshapes enterprise systems, Europe risks losing more than a company. It risks losing control over the logic that structures decisions—quietly shifting sovereignty from visible infrastructure to the invisible layer where economic behavior is defined.
