Leadership’s Blind Spot in the Age of AI
Executive Take
Leaders who pour budget only into AI automation while starving reflective and generative capacity will hollow out the judgment and trust that actually differentiate their organizations once AI commoditizes expertise; the practical move is to audit meeting time and budget allocation across the four levels and deliberately fund levels 3.0-4.0 work.
Executive Summary
MIT SMR essay by Otto Scharmer-style author argues leaders face a "blind spot": overreliance on AI risks an "intelligence monoculture." Author proposes three intelligences (artificial, organic, source) and four levels of collective action (automating, augmenting, co-sensing, cocreating), urging organizations to build a parallel "deep-sensing leadership infrastructure" alongside AI investment.
Why It Matters
Leadership and AI executives should care because the piece reframes AI strategy as an organizational-design and talent-development issue, not just a tooling decision, with direct implications for where transformation budgets and executive attention should go.