What happened
BCG research finds that while AI is creating measurable output increases across organizations, most companies fail to convert that capacity into actual value. The core problem: organizations deploy AI to automate existing processes without redesigning work, roles, or structures. The report argues that 'capacity isn't value until it's redirected'—without deliberate restructuring, extra output from AI is absorbed into existing complexity rather than reducing cost or improving performance. Real value comes from operating model redesign: redefining roles, decision rights, and workflows to remove unnecessary work before digitizing it.
Why it matters
This directly addresses the ROI gap executives are experiencing. Many companies report AI productivity gains but see little financial benefit. The framework provides a roadmap for moving past incremental AI deployment to transformational restructuring—a critical distinction for CFOs and COOs measuring AI's actual business impact.
Action needed
Executive teams should conduct a work redesign assessment before or alongside AI deployment, focusing on eliminating tasks rather than automating them. Finance should establish metrics to track whether AI-driven capacity translates to reduced costs or improved margins, not just output increases.