Europe's path to AI leadership may not lie in building the flashiest applications, but in controlling the unglamorous infrastructure that powers them. While the world obsesses over large language models and AI chatbots, a quieter shift is happening beneath the surface: the companies and regions that win the next decade will be those that master semiconductors, advanced manufacturing, energy systems, and the physical compute layer itself.

Why Is the Infrastructure Layer Suddenly Strategic?

For years, the semiconductor industry felt like a niche story. Today, it has become a matter of national security and technological sovereignty. Semiconductors sit underneath nearly everything people describe as "the future": artificial intelligence, defense systems, robotics, industrial automation, cloud infrastructure, mobility, energy systems, and medical devices. This shift in perception explains why the European Commission no longer treats chips as just another industry vertical. Under the European Chip Act, semiconductors are treated as a matter of resilience, reduced external dependency, and technological sovereignty, with the European Union aiming to double its global market share in semiconductors to 20%.

The numbers backing this pivot are striking. Gartner now forecasts global semiconductor revenue will exceed $1.3 trillion in 2026, up 64% year over year, which represents the strongest growth the industry has seen in the last two decades. Even more telling: artificial intelligence semiconductors are expected to represent 30% of total semiconductor revenue in 2026. This means the AI boom is no longer just visible in software budgets or cloud spending; it is reshaping the physical infrastructure layer itself.

What Exactly Sits Behind "Compute"?

When people talk about "compute," they usually mean raw processing power. But behind that sits a much larger technical stack that most people never see. Understanding this stack reveals why Europe's deeptech advantage matters.

• Semiconductors and Memory: At the core are logic chips like GPUs (graphics processing units) and CPUs (central processing units), plus HBM (high-bandwidth memory), which is increasingly critical for AI workloads because it allows models to move and process huge amounts of data fast enough to be useful.
• Manufacturing Equipment and Tools: To produce advanced semiconductors, the industry depends on an extremely specialized manufacturing chain: EDA (electronic design automation) software to design chips, lithography systems to print microscopic patterns onto wafers, deposition and etching tools to build transistor layers, advanced packaging to connect chips efficiently, and highly precise materials and optics throughout the process.
• Infrastructure for Scale: Then comes the infrastructure needed to actually use that compute at scale: data centers, power supply, cooling systems, and networking. AI systems are not limited only by chips; they are also constrained by electricity availability, thermal management, and the ability to move data quickly between processors, memory, and storage.

This systems-level view explains why "the future of compute" is not just a chip story. It is a systems story that spans semiconductors, manufacturing equipment, memory, energy, and industrial infrastructure.

How Is Europe Positioned in This New Landscape?

Europe is not the center of leading-edge chip fabrication or base model development. But leadership does not always mean total dominance. DeepTech is not built only on speed or software distribution; it is built on precision, technical depth, manufacturing integration, and longer-term defensibility. In a world obsessed with the application layer, Europe may still have an edge in some of the layers beneath it.

The evidence is compelling. According to Walden Catalyst, Europe is home to 30% of the world's top deeptech universities, produces twice as many science and engineering graduates as the United States, and since 2015, one-third of its deeptech startups have emerged from research spinouts, especially in fields like photonics, quantum technologies, and advanced computing. This is not only a capital story; it is also a capability story. And the segment is resilient to market shifts.

The funding data reinforces this momentum. According to the 2026 European Deeptech Report, Europe's venture capital-backed deeptech sector is now worth $690 billion, and deeptech captured a record 32% of all European venture capital investment in 2025, with total funding reaching $20.3 billion. Most significantly, the report highlights "Future of Compute" as the fastest-growing segment, a strong signal that the next strategic layer of value creation may sit deeper in the technology stack than most people assumed.

What Are the Real-World Implications for Europe's Tech Future?

The companies that win the next decade will not just build better software; they will build on top of better infrastructure, better supply chains, better economics of compute, and better access to industrial bottlenecks. This realization is already visible in company results. TSMC reported $35.9 billion of revenue in the first quarter of 2026, above its own guidance, and guided second quarter revenue to $39.0 billion to $40.2 billion. ASML, one of Europe's most strategically important technology companies, reported 8.8 billion euros in first quarter 2026 net sales and now expects 36 billion to 40 billion euros in full-year 2026 net sales, with growth being driven by ongoing AI-related infrastructure investments.

However, Europe faces a critical challenge: value capture. While Europe now generates 17% of new global enterprise value, it captures only 10% of global exit value, a gap that limits the region's ability to build enduring competitive advantages. Closing this gap requires not just innovation, but also the ability to scale companies and capture the economic returns from deeptech breakthroughs.

The strategic objectives outlined in the European Chip Act provide a roadmap for addressing this challenge. These include strengthening research and technological leadership, building and reinforcing Europe's capacity to innovate in the design, manufacturing and packaging of advanced chips, putting in place an adequate framework to increase production by 2030, addressing the skills shortage and attracting new talent, and developing an in-depth understanding of global semiconductor supply chains.

The moment is now. As artificial intelligence reshapes every industry, the infrastructure layer is no longer invisible. It is the foundation upon which the next wave of technological leadership will be built. Europe has the universities, the talent, and the deeptech ecosystem to compete. The question is whether it can translate those assets into sustained economic advantage.