{ "story_id": "889e5f0ac89bdd12da55e883575acbcc", "desk": "drm3", "revision": 1, "published_at": "2026-09-02T12:15:00.000Z", "content_hash": "395bf43c6706115316023a4325ea4aa67df6427ddeefcee7b4c20d442a426470", "hash_basis": "sha256 over `headline\\ndek\\nprose`, plus `\\n` + the canonical citations JSON when any source is placed, plus `\\n#blog` for blogs", "basis": { "headline": "CEOs Must Adopt New Metrics to Manage AI-Driven Business Ventures", "dek": "McKinsey advises CEOs to use dynamic metrics and portfolio management to scale new AI-driven businesses.", "prose": "Alonso Razzeto, a partner and managing partner at McKinsey & Company, argues that CEOs must assign different metrics based on the venture's stage to avoid destroying potential opportunities. [^1]\n\nApproximately 40% of global CEOs consider creating new businesses among their three primary strategic priorities despite economic uncertainty. [^2]\n\nIn companies where the CEO personally prioritizes new business creation, these ventures can represent nearly 20% of total company revenue within five years. [^3]\n\nMcKinsey reports that 56% of over 700 surveyed companies planned to build AI-driven businesses over the next five years as of 2025. [^4]\n\nAtlassian's research found that 96% of companies have not seen dramatic improvements in organizational efficiency, innovation, or work quality from their AI spending. [^5]\n\nGartner estimates that businesses will allocate $2.59 trillion to AI spending in 2026. [^6]\n\nMcKinsey & Company calls this the 70-20-10 rule: 70% of the business value from an AI program comes from people, culture and process change; 20% comes from data infrastructure; and a mere 10% stems from the actual AI algorithms. [^7]\n\nSeveral high-profile studies, including a widely discussed MIT study, found that most organizations are not seeing a return on investment from their AI spending. [^8]\n\nMcKinsey's State of Organizations 2026 report, as cited by BusinessDay, states that 86% of executives say their organizations are not ready to embed AI into daily operations. [^9]\n\nThe article argues that Nigerian organizations must stop importing the complexity of their external environment into themselves, shifting attention from organization charts to execution flows and treating speed, trust, and high-quality data as organizational assets. [^10]\n\nThe article contends that Nigerian organizations face a double burden: solving yesterday's organizational problems while preparing for tomorrow's organization, as global standards of organizational performance rise while Nigerian firms carry high execution costs. [^11]\n\nAccording to McKinsey's The State of Fashion 2026 report, the fashion industry is being transformed by global economic volatility, tariffs, leadership and retail challenges, and shifting consumer demands. 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