The McKinsey Podcast AI is everywhere. The agentic organization isn’t—yet
198 snips
Apr 2, 2026 
Alexis Krivkovich, McKinsey senior partner who studies how AI and org design reshape work, leadership, and talent. Conversation covers why big AI investments often fail to deliver. It explores how agentic AI could change business models and team structures. It examines leadership time use, new skills needed, and how to redesign end-to-end workflows for scalable impact.
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Agentic AI Enables Near Zero Marginal Cost Personalization
- Agentic AI can reduce marginal delivery costs and enable hyperpersonalization down to the individual.
- Alexis gives examples: tailored content distribution at scale and agents moving money across accounts, threatening banks' traditional moats.
Redesign Operating Models Around Agent Workflows
- Rethink operating models and daily workflows to oversee agent populations and adjust rituals for problem solving.
- Alexis urges firms to redesign hours, oversight processes, and governance before broad deployment.
AI Reshapes Roles Not Just Headcount
- Agentic capabilities will supercharge roles rather than simply replace them, enabling faster innovation and potential flattening of hierarchies.
- Alexis contrasts R&D agent squads with corporate functions and suggests AI could let leaders manage broader scopes.