I had the pleasure of attending the AENU Annual Summit 2026 recently, and one theme stood out clearly across nearly every conversation: building forward means grounding AI in the physical world, not just the digital one.
AI is moving off the screen and into the factory
We've moved past the phase where AI was mostly a digital layer sitting on top of existing systems. The real opportunity now is in how it integrates with industry — factories, energy systems, supply chains. This is where the impact becomes tangible: optimizing production, improving energy efficiency, reshaping how physical infrastructure operates at scale. It's a different kind of AI adoption than most marketing and software conversations are having.
Adoption is a business problem before it's a technical one
A theme that kept resurfacing: AI specialists and software engineers need to deeply understand the industries they're serving. Without that context, even the most advanced models struggle to deliver real value. Companies aren't just buying AI capability — they're evaluating risk, compliance, and long-term viability. Technical skill without industry context gets you a working demo, not a system a company will actually trust with its operations.
The data sovereignty question
For a lot of European companies, the real question isn't whether AI works — it's where the data lives, who owns it, and whether the systems it runs on can be trusted. Those concerns are legitimate, and they're also one of the biggest sources of resistance to adoption.
There's a real contradiction sitting underneath this, though: most of us already rely daily on global platforms — Google, Gmail, Meta, and others. The infrastructure is already centralized. The data dependency already exists. So the real strategic question for Europe isn't isolation from that reality. It's partnership — how to engage with global AI infrastructure while holding onto the standards around privacy, regulation, and trust that actually matter.
Where Europe's real opportunity sits
China is accelerating. The US continues to scale aggressively. Europe's opening is in forming smart, strategic alliances rather than trying to build everything in isolation — while still holding the line on the regulatory and trust standards that are genuinely a European strength, not just a compliance burden.
Energy and climate: the quiet long game
The energy and climate sectors keep growing steadily, even without dominating the headlines the way consumer AI does. They're foundational industries with long-term, structural demand — and AI's role there is only just beginning, from grid optimization to predictive maintenance to resource efficiency. This isn't a trend cycle. It's a structural shift that will keep compounding whether or not it's trending on any given week.
What building forward actually means
Pulling it together, building forward looks like three things: embedding AI into real-world systems instead of leaving it as a digital layer, balancing innovation with data sovereignty instead of treating them as opposites, and aligning the technology with the actual realities of the business and infrastructure it's meant to serve. The next wave of AI won't be defined by who builds the best model. It'll be defined by who understands where and how it's actually applied.
Good conversations all around — particularly a great chat with Cody Simms, and an excellent podcast recording alongside him.