AI has become a platform shift similar to AWS, forcing organizations to decide whether to build or consume AI capabilities. Most should consume AI as infrastructure and differentiate through domain knowledge, customer insight, and workflow integration rather than building foundation models. Key risks include unclear blast radius for agentic AI, misidentifying commodity versus differentiator capabilities, and attempting to replace critical systems with AI-generated code without proper governance. Success requires codifying organizational context, tightening feedback loops, and applying strategic discipline before scaling AI adoption.
Table of contents
Why Clarity of Purpose Matters More Than EverThe Step Change: AI as a Platform ShiftCommodity vs DifferentiatorInternal Acceleration vs Product FeatureThe Risk Nobody Talks About: Blast RadiusTraining Data, Sovereignty & Trust“Vibe Coding” Critical SystemsSpeed Changes the OrganisationYou Cannot Outsource Critical ThinkingOrganisational Design Still AppliesThe Value Flywheel EffectThere Is No Sideline610 Impressions