Most discussions around AI-ready leadership emphasize the technology—what to rebuild and which tools to adopt. However, the CEO’s true role lies beyond technology; it is centered on people transformation, starting with their own readiness to lead this change. At Star, we call this process “organizational recomposition,” which involves taking existing talent and skills, breaking them down, and reassembling the company into a more capable organization without necessarily growing in size. This is done by upskilling employees, shifting roles into new areas made possible by AI, and fostering new ways of working.
Importantly, it also involves identifying and removing those unwilling to embrace the AI transformation. It’s not simply a technology project—it’s a people-focused decision that rests on the CEO’s shoulders.
Two primary challenges arise: company culture and the pace of change. Resistance often stems from fear of altering the company’s core culture, which is the foundation of its identity for customers, stakeholders, and employees. Successful transformation uses the existing culture as a vehicle for change, evolving rather than replacing it.
Speed is another critical factor. The journey isn’t about rushing AI adoption blindly but pacing it strategically, learning from past transformations like cloud computing. Leaders must balance moving fast enough to remain competitive with avoiding costly mistakes and runaway expenses, such as uncontrolled AI usage costs.
Ultimately, the CEO must make the challenging decisions regarding culture and strategic direction. AI transformation is a marathon, not a sprint, and success means becoming a more capable company with the people you already have, even if the company’s size remains the same. This is the real win worth striving for.
Michael Schreibmann is CEO and cofounder of Star.
