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This new, in-depth report offers a range of considerations, strategies, and tactics for tapping the potential of agentic AI in organizations. While this 40-page report contains more insights than can be covered here, one theme stands out: AI adoption is racing ahead of strategy. Traditional AI adoption is at 72%, genAI at 70%, and agentic AI has reached 35%, with another 44% planning to deploy it. The challenge is that AI is scaling faster than leaders are redesigning processes, decision rights, and workforce models. As a result, the authors note that competitive advantage won’t come from early access to agentic AI (because everyone will have it), but from stronger organizational design around it: how work is structured, how decisions are governed, and how human and AI roles are defined. The report also outlines tactics for making key decisions, such as determining when to bolt AI onto existing workflows for quick wins versus when to redesign entire processes around agentic capabilities. It notes that work design will shift from automating tasks to rethinking workflows; instead of asking “Where can we automate a step?” leaders will ask “Which processes should be rebuilt around human–AI collaboration?” The report also highlights implications for workforce planning, noting that organizations must plan for what work people do, what work agents do, how the two interact, and how both learn over time. As a bonus, here is a new article from McKinsey: HR’s Transformative Role in an Agentic Future.
