Why CIOs must lead AI experimentation, not just govern it

AI is rapidly advancing, creating hype, fear, and pressure to act, especially for enterprise leaders. The biggest risk is delaying action while the world embraces AI, not making mistakes. Success starts with access, trust, and hands-on learning, not perfect plans. IT leadership is changing from gatekeepers to enablers of innovation, much like the SaaS revolution. Workday's AI adoption involved building awareness through accessible, integrated features. The AI Champions initiative, a peer-to-peer approach, built trust and encouraged broader adoption. Traditional ROI metrics are insufficient; learning and speed are also key values. Cultivating a culture of learning and experimentation is crucial for effective AI integration. Employees should explore and use AI tools to improve their work. Leaders must empower teams, redefine investment criteria, and encourage experimentation.