The announcement of the “AI for 3D Digital Twins in Cultural Heritage: Stakeholder Forum” highlights the growing momentum behind Europe’s efforts to accelerate the practical adoption of AI.
Initiatives such as this demonstrate how the EU’s Apply AI Strategy is moving from policy discussions toward real-world deployment across strategic sectors.
The European Union has already taken an important strategic step by identifying ten industrial domains where AI adoption can deliver significant value.
The next phase may concern how these domains evolve not merely as sectoral initiatives, but as a connected European AI infrastructure.
Historically, large infrastructures scale only when a shared interface is defined.
Railway networks expanded once a common gauge was agreed.
The global Internet emerged once communication protocols such as TCP/IP enabled independent networks to interconnect.
A similar structural question may now arise for AI deployment across Europe’s strategic domains.
If each sector develops AI systems independently, fragmentation may occur.
However, defining a shared operational gauge could enable interoperability across domains, allowing AI systems, governance frameworks, and human oversight mechanisms to function coherently across Europe.
Generative AI introduces an additional dimension.
Unlike previous digital infrastructures, generative AI operates primarily through natural language.
Natural language is powerful and flexible, but also inherently dynamic.
Meanings evolve, interpretations differ, and semantic drift may occur over time — a phenomenon that mirrors the well-known challenge of drift in AI systems.
Supporting reliable AI deployment across sectors may therefore require not only technical interoperability, but also mechanisms that help stabilise how meaning is transmitted and interpreted through language in AI-supported processes.
If Europe succeeds in defining such an operational gauge, it could strengthen interoperability across its strategic domains and potentially provide a reference model for global AI infrastructure, much as other European frameworks have influenced global standards in the past.