Generative AI is a powerful workplace technology capable of delivering substantial efficiency gains. Yet despite widespread adoption, most organizations report little to no durable improvement in profitability. This disconnect reflects two structural errors.
First, organizations assume that Generative AI alone—without sustained human originality—can create lasting competitive advantage. Second, they treat AI adoption as a technical rollout rather than as a talent and cultural transformation that reshapes how work, judgment, and value creation occur.
Generative AI normalizes baseline performance. It accelerates execution, increases fluency, and reduces variance. At scale, however, these benefits become non-exclusive. Efficiency gains are rapidly matched by competitors, while differentiation erodes through convergence toward statistically likely outputs.