Artificial intelligence debates in Europe often revolve around regulation, sovereignty and the dominance of American platforms. Less visible, but no less consequential, is the role played by non-European industrial powers whose technologies are deeply embedded in Europe’s digital and economic fabric. Samsung is one of them.
While much of the global AI conversation is dominated by American hyperscalers and Chinese platform giants, a quieter — yet arguably more consequential — transformation is unfolding in Europe. At the center of this shift stands Siemens, a company better known for turbines, factories and rail systems than for artificial intelligence. Yet today, Siemens is emerging as one of Europe’s most strategically important AI actors, not by chasing consumer AI dominance, but by embedding intelligence deep into the continent’s industrial and infrastructural backbone. This is not AI as spectacle. It is AI as system logic.
Salesforce’s introduction of Agentforce 360 marks a new phase in the evolution of artificial intelligence inside organisations. Rather than positioning AI as a standalone automation layer, the concept of the “Agentic Enterprise” frames AI agents as collaborators: systems designed to support employees in decision-making, coordination and execution. While this approach is technologically ambitious, its European rollout reveals challenges that go far beyond software adoption.
