Latin America Intelligent Age
Page 18 of 33 · WEF_Latin_America_Intelligent_Age.pdf
Latin American and global leader scores in AI competitiveness sub-dimension:
operating modelFIGURE 9
AI initiatives and products follow well-defined
agile team structures and methodologies25
21 32 47 66
16 25
17
16 26 39 4230 44 5837 6235 47 59
Degree of organization of AI talent
Operating model enables cross-functional
collaboration of AI talent
Pace of execution of key analytics and AI initiatives
Funding and budgeting processes
support agile delivery of AI initiatives
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 24 22
37 21
28 27
16 2334 26
15 20 25 30 35 40 45 50 55 60 65 70
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
When examining the adoption and scaling sub-
dimension, we see the largest differentiators between
global leaders and Latin American organizations is
in their scores for the ability to effectively establish,
track and communicate value from AI, in explaining how AI will impact the way the organization works
in the future and, perhaps not surprisingly, in the
integration of AI into core business processes which,
as has been discussed above, is a key reason for
lower economic impact creation.
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