For all businesses, certainty is often critical, particularly in sectors like tech and AI - where infrastructure investments can involve long lead times and significant capital expenditure. Businesses need to know that regulations, tariffs, and trade relationships won’t swing dramatically from one quarter to the next, and right now, that’s hard to guarantee in the USA. Policy signals keep shifting. What looks like a long-term strategy one day can reverse the next. Often from one hour to the next.
For many companies, the current unpredictability is likely to become a real risk factor - and it would be understandable if it began to nudge some of them to look elsewhere. Right now, the geopolitical backdrop is shifting fast. The United States is pushing ahead with tighter restrictions on exports to China, particularly around high-performance chips. Europe, meanwhile, finds itself in a relatively stable - if still fragmented - position.
Instability in the global markets was given fresh context when, after many days when Donald Trump and his administration had appeared to double down on sweeping new trade measures, there was what has been described as a tactical retreat. Whether it’s a true shift or simply a negotiating pause remains to be seen. Either way, the signal to the rest of the world is clear: economic policy in the US is volatile. And for businesses investing in long-term infrastructure - especially AI infrastructure - that kind of unpredictability has consequences.
Europe - for all its imperfections - offers that kind of stability right now, and if the trade environment in the US remains unpredictable, some of the world's most important digital infrastructure decisions may quietly shift elsewhere.
This matters for real estate
Despite Trump's pause on the higher tariffs (excluding China), the 10% tariffs that remain will still impact the costs associated with building and running data centres in the United States. While U.S. imports of semiconductors are not currently subject to reciprocal tariffs, any items containing them (from iPhones to AI Servers) appear to be on the list. A few weeks ago (in February), Trump was reported as saying that tariffs on microchips would be "starting very soon" and suggested they could be 25% (or even higher).
Chips are clearly on the menu in Washington.
While the US still leads the data centre market, Europe has been catching up, and we’re already seeing increased investment in new data centre capacity across the continent. In the UK, London’s traditional dominance is under pressure due to energy constraints. That could open the door for cities like Manchester, Birmingham or Leeds to attract more of this type of development - especially where access to power and land align.
Beyond data centres: a broader shift in demand
The growth of AI infrastructure is likely to drive demand in other areas, too:
- Specialist office space for AI developers and researchers, particularly in cities with strong academic and tech links.
- Logistics and light industrial space to handle the flow of chips, servers, and other critical hardware.
- Edge computing sites, closer to users, where data can be processed with lower latency - especially useful in sectors like healthcare, automotive, and financial services.
This isn’t a gold rush. But it is a slow, structural shift. And it’s likely to reshape the way we think about what kinds of real estate are future-proof.
Europe’s advantage isn’t guaranteed - but it’s real
The Arcano analysis makes one thing clear: Europe’s advantage is more about politics and policy than scale. Its position comes with challenges. Energy costs remain high. The venture funding environment is more cautious. And regulation can be slow-moving. However, in an environment where predictability is a premium, the continent’s perceived stability is becoming an asset.
For investors and developers, that creates a window - albeit a narrow one. Those who can offer the right combination of infrastructure, planning certainty, and access to talent may find themselves well-placed as demand evolves.
Final thought
AI may be a digital revolution, but it depends on real, physical infrastructure. And as global firms weigh where to build it, property markets in stable, well-connected, energy-aware regions may quietly emerge as strategic winners.
The next phase of the AI race may be shaped as much by planning permissions and power supply as it is by code.
