The next AI bottleneck is not the model. It’s the infrastructure behind it

The article argues that many enterprises overestimate their data readiness for AI and that AI amplifies existing data governance and security shortcomings; it urges clear ownership, lineage, classification, access controls, and operational discipline. It also emphasizes that as AI shifts from answering queries to taking actions, security (identity, authorization, least privilege, logging, and human approvals) and CIO-led operating models are essential to ensure safe, scalable AI adoption.