SAP Connect 2026 - SAP leadership responds to hot AI issues, and explains why "generic models" fall short

SAP is positioning its enterprise AI strategy around domain-specific context, governance, and embedded agents rather than “generic” frontier models, arguing that this is what makes AI reliable in mission-critical, highly regulated business processes. For CIOs, the strategic implication is that AI value will come from platforms that can combine deep system metadata, auditability, and data residency controls with workflows such as finance, supply chain, and HR—turning AI adoption into an enterprise operating model change, not just a model selection exercise. The planned TechWolf acquisition further signals SAP’s intent to extend this contextual layer into workforce intelligence, helping customers redeploy and reskill talent inside the flow of work.