Organizational Reform in the AI Era: The Executive Reshuffle—Where Do You Fit?
The blog post explores how companies are reshaping executive roles—such as creating Chief Data & AI, Chief People & Digital Technology, and Chief AI officers—to integrate AI deeply into business strategy, data, HR, and governance, highlighting the shift toward managing hybrid human‑machine workforces.

Modern business competition is a battle of organizational agility. If your company is still using legacy departmental logic to house a next-generation AI engine, you are not only wasting expensive computing power—you are using a horse-drawn carriage to chase a rocket.
While many CEOs are still debating whether to hire a single AI expert, global industry leaders have already begun "violently" dismantling and rebuilding their organizational structures. How should a company define AI-related executive roles to truly ground AI in business, people, and results? Looking at the logic of these giants, we see four core "genetic mutations" occurring in executive positions.

1. Integration of Data + AI
These companies are hyper-aware: the quality of AI output depends 100% on the quality of the underlying data. In 2024, Nike appointed a Chief Data & AI Officer (CDAIO), a senior executive dedicated to data strategy and AI application, reporting directly to the CEO. Nike granted the CDAIO "absolute decision-making power" across consumers, products, supply chain, and finance. Even more aggressively, in a 2025 reshuffle, Nike abolished the Chief Technology Officer (CTO) position entirely, merging the technology department into Operations. Behind this move is Nike’s view of AI as the core of its "Win Now" transformation strategy, aiming to drive demand forecasting, real-time supply chain management, and hyper-personalized consumer experiences.
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