Latin America Intelligent Age

Latin American organizations achieving EBIT impact from AI’ as a starting point. FIGURE 7 Latin American organizations achieving EBIT impact from use of AI capabilities Organization survey responses by percentage1Latin American organizations achieving EBIT impact from use of AI capabilities by organization size Organization survey responses by percentage 2,3 Positive impactNo impact Very large enterprises Large enterprises Small and medium enterprises75% Generating < 5% EBIT 25% Generating > 5% EBIT Equivalent to 6% of total23%38% 24%37% 25%18%59% 33% Positive impact No impact Note: 1. 44% of organizations responded “Don’t Know” or “N/A”. 2. Very large enterprise ($1 billion+), large enterprise ($100 million - to $1 billion), small and medium enterprises (less than $100 million). 3. Do not sum to 100% as some organizations within size category responded “Don’t Know” or “N/A”: very large enterprises (39%), large enterprises (42%), small and medium enterprises (24%) Source: Latin America in the Intelligent Age - AI capabilities survey, August - October 2025, n=129 To help understand what may be driving low impact, we can look at survey results examining the core dimensions of successful AI transformations and draw a comparison between Latin America’s averages and the performance of global leaders. The lowest scores in the region are in the same dimensions that challenge global leaders: talent (capabilities and pathways for growth), operating model (agility in technology integration, execution and decision-making), and adoption and scaling (ability to scale and leadership sponsorship). However, in talent, we can see the largest gap between Latin America and global leaders. Within Latin America, operating model and adoption and scaling seem to be the dimensions setting apart organizations generating impact from those who are not, based on score distance.