How AI Agents Are Accelerating the Next Wave of AI Value Creation
As companies move beyond predictive and generative AI, agentic systems are emerging as the next frontier—autonomously executing workflows, embedding institutional knowledge, and unlocking step-change gains in productivity and differentiation.
Vinciane Beauchene; Nicolas de Bellefonds; Djon Kleine; Rich Lesser; Amanda Luther; Tom Martin; Daniel Sack
Managing Directors, Senior Partners, and Global Chair, Boston Consulting Group
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This article argues that AI is entering a new phase defined by agentic systems that can observe, plan, and act autonomously across entire workflows—moving AI from isolated tasks to end-to-end execution. While predictive AI optimized decisions and generative AI transformed knowledge work, agentic AI functions as the “executive layer,” translating insight into action. Drawing on early adopter case studies, BCG shows how organizations are achieving 40–60% reductions in cycle time, major productivity gains, and new sources of differentiation by redesigning processes around outcomes rather than automating existing tasks. The article outlines a CEO-level roadmap—“Now, Next, and Always”—emphasizing zero-based process redesign, shared AI platforms, embedded business context, and graduated autonomy to balance speed with trust. Ultimately, competitive advantage will accrue to organizations that treat agentic AI as an operating model transformation, not a technology upgrade.



