In 2026, enterprise Artificial Intelligence is expected to transition from experimentation to large-scale execution. Companies will focus on industrializing AI without disrupting operations, recalibrating around cost, security, governance, and returns. The initial hype around agentic AI is likely to slow due to practical challenges like expense, disruption, and security risks. Formal AI governance frameworks will become operational mandates, emphasizing oversight, audits, and risk management.