⚡ AI strategy is not about efficiency. It is about who controls growth decisions. As McKinsey highlights, high performers pursue growth and innovation alongside efficiency. Others remain focused on cost reduction. This is not a strategic preference. It reflects where organizations allow AI to influence decision-making. 1️⃣ Control Point: Efficiency use cases operate within existing structures. Growth and innovation require shifting authority over pricing, product direction, and customer strategy. 2️⃣ Structural Blind Spot: Many leaders treat AI as a cost lever because it fits current governance. Expanding into growth requires redefining ownership, risk tolerance, and decision rights. 3️⃣ Design Advantage: High performers embed AI into strategic functions, not just operational ones. This allows systems to shape outcomes, not just optimize processes. This is why performance diverges. Efficiency preserves the organization. Growth and innovation redesign it. The real divide is not what AI is used for. It is where the organization is willing to give it influence. Who owns AI-driven decisions tied to growth in your organization? via McKinsey & Company mckinsey.com/capabilities/qu… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @9SManagement @O_Berard @DavidTaboada @yd_engoue @giuliog @Hajer_Alqassimi @EdwardHarkins @Evanskipropcrim @ranya_artistry @Howie7951 @iamtunslaw @gvalan
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