Generative and agentic AI represent a fundamental shift in business, acting as a general-purpose technology that necessitates an integrated approach across strategy, technology, and organizational design. While initial investments focus on productivity, true competitive advantage emerges from innovation and the redesign of end-to-end workflows. With US capital expenditure for AI infrastructure projected to reach $7 trillion by 2030, organizations face unprecedented energy demands and workforce disruptions. Success requires moving beyond simple task automation to building AI-fluent capabilities and fostering organizational adaptability. Leaders must prioritize bold, "skunkworks" experiments to navigate the rapid evolution of models and avoid over-reliance on single providers. Ultimately, the transition demands that executives treat AI as a core strategic pillar, balancing the exploitation of current efficiencies with the exploration of future business models to thrive in an increasingly agentic economy.
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