McKinsey estimates that generative AI could create $2.6 trillion to $4.4 trillion in annual economic value across 63 identified business use cases, according to its research on the technology's economic potential. When the broader integration of generative AI into existing software is included, the firm estimates the impact could roughly double to as much as $7.9 trillion a year.

Realized value tells a more cautious story. Just 39% of survey respondents report measurable EBIT impact at the enterprise level, indicating that broad adoption has not yet translated into material bottom-line results for most organizations. McKinsey reports that 88% of respondents say their organizations regularly use AI in at least one function and 72% use generative AI, up from 33% in 2024, while nearly two-thirds have not begun scaling AI across the enterprise.

The gap between adoption and impact concentrates results among a small group. McKinsey classifies only about 5.5% of companies as high performers. Those firms are three times more likely to have strong senior leadership engagement, to have redesigned workflows end to end, to set outcome-based objectives tied to business metrics, to invest in agent-ready infrastructure, and to measure adoption and results rigorously.

The data points to a market where the value opportunity is large and widely recognized, while the ability to capture it remains concentrated among organizations that have restructured operations around the technology.

Source: McKinsey - https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai