AI in 2026: From Experimentation to Operational Integration

AI adoption is moving from isolated experimentation to embedded, organization-wide capabilities that reshape core business processes. The article outlines how enterprises will operationalize AI through platformization, stronger governance, and integration into decision workflows, while addressing challenges around data quality, trust, and scalability. It highlights trends such as domain-specific models, human-AI collaboration, and tighter regulatory oversight. For technology leaders, the priority is building scalable AI operating models that balance innovation with control and measurable business impact.