Automation has entered a new phase where AI is no longer limited to "assistive" outputs like drafts and summaries; it is now used to execute multi-step work and make operational decisions. The old "automate first, patch later" approach is breaking because modern automation is probabilistic, context-sensitive, and often opaque. Leaders are reporting measurable operational consequences, often tied to inaccuracy, while boards acknowledge that governance maturity is trailing deployment velocity.
February 24, 2026
