Latin America Intelligent Age
Page 15 of 33 · WEF_Latin_America_Intelligent_Age.pdf
The limited application of analytical AI and
GenAI at scale across operations may explain
the current low level of value capture from these
technologies: only 6% of survey respondents
report achieving an improvement of more than
5% in earnings before interest and taxes (EBIT).
This impact is also primarily captured by very
large and large enterprises, with 59% of small and
medium enterprises (SMEs) reporting that they
are not generating any measurable value from AI.
In a region where, according to OECD figures,
SMEs account for 99.5% of all businesses,33 this
may significantly compromise Latin America’s
AI competitiveness and the impact that can be
delivered through productivity gains. For instance,
in Latin America’s two largest economies, Brazil
and Mexico, it is estimated that the productivity
gap between SMEs and large firms is 46% and 53% respectively.34 This gap could increase further
if SMEs are unable to embrace AI technologies.
At the same time, the democratization of access
to AI tools means there is a sizeable opportunity
to drive AI adoption across SMEs, promoting
greater competitiveness. To capture this
opportunity, SMEs could benefit from awareness
driven by industry associations, government and
specialized media. Additionally, public-private
initiatives can increase accessibility to tools and
upskilling opportunities for SMEs by, for example,
providing complimentary or discounted access to
solutions and upskilling programmes. Designated
communities or associations for SME owners and
employees to share their AI learning experiences
could further promote adoption. Latin American organizations that consider GenAI to be at early stages or at scale FIGURE 6
22% 20% 25% 23% 68%
15% 29% 29% 22% 66%
12% 19% 26% 34% 58%
10% 27% 19% 35% 56%
8% 8% 19% 53% 35%
7% 11% 29% 45% 47%
6% 10% 22% 44% 38%
5% 14% 15% 56% 34%
5% 18% 19% 50% 42%
4% 7% 13% 57% 24%
4% 10% 26% 52% 40%
4% 23% 17% 48% 44%
24% 18% 44% 45%
2% 13% 22% 54% 37%
2% 19% 11% 57% 32%Organization survey responses by percentage1
Category Domain
Core Technology
Operations
Core Technology
Marketing and Sales
Risk
Talent
R&D
Marketing and Sales
Strategy and Finance
Operations
Talent
Marketing and Sales
Marketing and Sales
Strategy and Finance
Marketing and SalesSoftware engineering
Customer service
Corporate IT
Personalization
Compliance
HR process automation
Product development
and procurement
Pricing, promotions
and assortment
Strategy
Manufacturing
and supply chain
Talent analytics
Sales and channels
Digital marketing
Finance
Marketing ROI3%
At scale MVP / Pilot Proof of concept Not started
Note: 1. Totals do not sum to 100% as some organizations answered “Not Applicable”
Source: Latin America in the Intelligent Age - AI capabilities survey, August - October 2025, n=129
Latin America in the Intelligent Age: A New Path for Growth
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