Available worldwide via Amazon (Kindle Edition)
US: $5.99
Other regions: Local Amazon pricing
Available here:
https://www.amazon.nl/dp/B0GMXLX56T
Artificial intelligence is becoming part of Europe’s strategic infrastructure. As the Netherlands considers a €5 billion AI investment agenda, the central question is no longer how much should be spent, but what enduring public capabilities and strategic assets those investments should ultimately create.
Most discussions about artificial intelligence begin with algorithms. In reality, AI begins much earlier. Before models learn, billions of automated bots quietly collect, index and organise the world’s knowledge—an invisible infrastructure that receives remarkably little public or political attention.
Artificial intelligence is not merely a race between chatbots. It is a competition to build the mathematical foundations upon which future societies will increasingly depend. Mistral AI illustrates why algorithms are becoming strategic infrastructure—and why Europe’s AI future begins long before the interface.
Artificial intelligence did not emerge in isolation. It builds upon thousands of years of human curiosity, mathematics and engineering. Europe’s AI future will depend not only on algorithms, but on the knowledge, infrastructure and institutions that make intelligence possible.
Artificial intelligence is transforming access to information, but not the purpose of higher education. As knowledge becomes increasingly abundant, universities may find that their greatest responsibility is no longer teaching information, but cultivating judgement.
Europe’s AI sovereignty debate is entering a new phase. Beyond algorithms and data, a third layer is emerging: compute. As frontier AI becomes increasingly dependent on hyperscale infrastructure, Europe’s next strategic challenge may be building—and financing—the infrastructure on which its own intelligence ultimately relies.
As banks accelerate their AI ambitions, a deeper institutional question emerges. If even Silicon Valley struggles to deploy reliable agentic AI, how should Europe’s financial institutions balance innovation with accountability, governance and the public trust on which banking ultimately depends?
The Microsoft–Mistral partnership reflects more than a strategic AI agreement. It raises a broader question about Europe’s technological future: can algorithmic sovereignty be achieved when the compute infrastructure on which it depends increasingly resides elsewhere?
Enterprise AI is entering a new phase. AskDiana challenges the assumption that larger language models alone will define its future, placing knowledge governance, trusted reasoning and organisational control at the centre of enterprise AI architecture.
AskDiana is more than an enterprise AI platform. It represents a broader discussion about knowledge architecture, governance and digital sovereignty, raising important questions about how organisations build trusted AI in an increasingly complex European landscape.
