Generative AI could add as much as $4.4 trillion to the global economy each year across the 63 use cases McKinsey studied, and roughly double that, up to $7.9 trillion annually, once its integration into existing software is counted. The estimate frames the technology as a broad productivity driver rather than a narrow tool.

The value is concentrated. McKinsey finds that four business functions will likely account for about 75 percent of the total annual value: marketing and sales, customer operations, software engineering, and research and development. The largest industry gains are expected in retail and consumer packaged goods, banking, and pharmaceuticals and medical products.

Adoption has not yet caught up with the potential. While 88 percent of organizations report regular AI use in at least one business function, most remain in experimentation or piloting stages, and only about one-third have begun to scale their programs. Just 1 percent of business leaders describe their generative AI rollouts as mature, meaning fully integrated into workflows and driving substantial outcomes.

The workforce implications are large. McKinsey projects that half of current work activities could be automated between 2030 and 2060, with a midpoint around 2045. The combination of high projected value and low current maturity suggests the gap between potential and realized return will define enterprise AI strategy for years.

Source: McKinsey & Company - https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier