CEOs Must Simultaneously Transform Existing Businesses and Build AI Native Units to Drive Growth

A senior partner at McKinsey in New York highlights the critical need for CEOs to operate two parallel strategies to harness AI's full potential. Traditional companies face complex processes, such as insurance underwriting, that take days or weeks, while AI Native competitors complete similar tasks in minutes by integrating AI agents deeply into workflows. These AI Native firms restructure cost bases, accelerate execution, and embed AI as a core product component, enabling faster, personalized, and scalable services.

McKinsey's analysis of 10,000 companies reveals AI Native businesses generate over $5 million in revenue per employee, nearly ten times the Fortune 500 average, and can reach $100 million in annual revenue within months. Despite many large companies modernizing systems and training staff to adopt AI tools, this alone is insufficient. Transforming existing operations improves profitability but does not create the future business model needed to compete.

The article stresses that AI Native units should be established as separate profit centers with distinct management and workflows, rather than integrated within existing business units. This separation allows for different decision-making speeds and organizational models. CEOs must balance improving current business efficiency to fund AI initiatives while simultaneously building new AI-driven ventures that may eventually cannibalize legacy operations.

Starting AI Native efforts should focus on areas with sufficient data volume to achieve expert-level AI performance but limited enough to launch within months. The successful CEOs of the coming decade will be those who manage these dual clocks effectively, ensuring both the legacy business and AI Native units thrive in the evolving market landscape.