I. The $4.4 Trillion Productivity Frontier
McKinsey's research suggests that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases analyzed. To put this in perspective, this is a range that exceeds the total 2021 GDP of the United Kingdom. This impact would increase the overall potential for all artificial intelligence by 15 to 40 percent.
This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases. The era of generative AI is just beginning, and the speed of adoption is outpacing previous technological cycles.
Macro-Economic Metric
$4.4 TRILLION ANNUALLY
The estimated upper bound of annual value created by generative AI across 63 analyzed use cases globally.
II. Concentration of Value
About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, Marketing and sales, Software engineering, and Research and development (R&D). Across these functions, generative AI can handle tasks that currently take up 60 to 70 percent of employees' time.
Customer Operations
Research shows that applying generative AI to customer care can increase productivity by 30 to 45 percent of current functional costs by automating high-frequency interactions and augmenting human agents with real-time data.
Software Engineering
The shift could increase the volume of code output while significantly reducing the time spent on repetitive debugging and refactoring, potentially shortening development cycles by 20% to 45%.
III. Displacement and Transformation
Current generative AI and other technologies have the potential to automate work activities that absorb 60 to 70 percent of employees' time today. In contrast, our previous estimate was 50 percent. This acceleration is largely due to generative AI's increased ability to understand natural language, which is required for activities that account for 25 percent of total work time.
Generative AI could enable labor productivity growth of 0.1 to 0.6 percent annually through 2040. When combined with other automation technologies, work automation could add 0.2 to 3.3 percentage points annually to productivity growth, supporting a more inclusive and sustainable economic future if managed correctly.