⚡ AI productivity is not showing up in performance. It is accumulating in foundations. As EY highlights, firms are investing heavily in data, infrastructure, energy, and talent, while measurable productivity gains remain limited. Even optimistic projections show modest GDP impact. 1️⃣ Structural Shift: Productivity is moving from output per hour to outcome quality. AI makes time abundant, shifting the constraint to judgment, accuracy, and oversight. 2️⃣ Authority Redesign: As AI generates outputs, human roles shift from execution to validation. Decision authority becomes the bottleneck, not production capacity. 3️⃣ Delayed Payoff: Organizations are building the prerequisites for productivity, not the results themselves. Without aligning workflows and incentives, gains remain latent. This is why AI looks like a productivity revolution in investment, but not yet in outcomes. The real challenge is not accelerating AI adoption. It is redesigning how organizations measure and control value creation. via EY ey.com/en_gl/megatrends/how-… @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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