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 15
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