Most executives don’t have an AI problem. They have an AI direction problem.

The article argues that most enterprises are not lacking AI technology so much as a clear AI direction: leaders need to define where AI should create measurable business value instead of running scattered pilots or chasing hype. For CIOs and technology leaders, the strategic implication is that AI success depends on aligning use cases, governance, data, and operating models to specific business outcomes, rather than treating AI as a standalone innovation agenda. IT organizations will need to shift from experimentation to disciplined portfolio management, prioritization, and change leadership to ensure AI investments translate into productivity, growth, and risk control.