A year ago, the dominant question was what a large language model could do in a demo; now, technology leaders are asking where the system will run, what data it will touch, and how risk will be owned once the novelty wears off. Strauss framed that shift publicly after appearing in CxO Series programming focused on a “Sovereign AI Journey for Africa,” describing an atmosphere of urgency among enterprise leaders as AI moves from experimentation into operational reality.^1 The underlying message is familiar to anyone who has watched prior waves of enterprise technology mature: once something becomes infrastructure, it stops being optional.

• When AI Becomes Infrastructure
• Defining “Sovereign AI” for Enterprises
• VectorMind and the “AI Fabric” Claim
• The Anti-Hype Playbook: Governance First
• Signals of Market Pull—and What Proof Looks Like