Latin America Intelligent Age

Latin American and global leader scores in AI competitiveness dimensions FIGURE 8 Overall Strategy Talent Operating model Technology Data Adoption and scaling Latin American organizations not generating impact from AI/uni00A0 Latin American average Distance between Latin American average and global leaders Distance between Latin American organizations generating impact and those who are not Latin American organizations generating impact from AI Global leaders1 23 14 23 33 1930 43 56 29 37 4667 30 39 4861 18 27 38 572932 42 37 45 5259 6427 19 27 16 29 19 26 24 30 17 22 18 30 20 Note: 1. Top quintile of McKinsey Global AI Competitiveness Assessment Survey, excluding Latin America Source: Latin America in the Intelligent Age - AI capabilities survey, August - October 2025, n=129; McKinsey AI Quotient Survey, 2017-2025, including 750+ companies globally Within the operating model dimension, survey results suggest that organizations in Latin America have more difficulty enabling cross-functional collaboration of AI talent compared to global leaders. Also, in many Latin American organizations there is little to no clear definition of agile team delivery processes, whereas global leaders tend to have enterprise- wide agile organizations with well-defined delivery processes that allow for flexibility. Within Latin America, organizations not generating impact from AI are slower at executing AI initiatives, reporting that it typically takes over a year to execute initiatives, whereas organizations generating impact can often do so in six to nine months. Latin American organizations generating impact have the smallest gap between global leaders when it comes to funding and budgeting processes that support agile delivery of AI initiatives, yet these funding and budgeting processes may be focused on experimental AI initiatives (see Figures 5 and 6) which may not be able to be scaled or result in continued impact. Latin America in the Intelligent Age: A New Path for Growth 17