If you find value in content like this, sign up for my Talent Edge Weekly newsletter.
As more organizations adopt AI at scale, a recent McKinsey article argues that competitive advantage will come not from using individual AI tools but from redesigning the enterprise around an “agentic organization,” where humans and AI agents create value together. This model requires rethinking five pillars: 1) Business model (AI-native channels, hyperpersonalization, proprietary data), 2) Operating model (AI-first workflows and agent teams), 3) Governance (real-time decisions and controls by humans and AI), 4) Workforce, people, and culture (how roles, skills, and mindsets evolve as humans orchestrate AI), and 5) Technology and data (platforms that enable AI agents at scale). Focusing on the workforce pillar—employees shift from performing tasks to orchestrating outcomes, supervising AI agents, setting goals, and managing trade-offs. Humans move “above the loop,” overseeing workflows instead of completing every step. These shifts introduce new roles, including supervisors who direct AI agents, specialists who redesign workflows and manage exceptions, and AI-augmented frontline workers. A key implication for HR is how this transformation will reshape core talent practices—such as workforce planning (accounting for humans and AI agents), performance management (evaluating how well employees guide AI to create value), and learning and development (expanding beyond AI literacy to systems thinking, judgment, and decision-making with AI).
