AI adoption in Mexico remains concentrated in large companies
24/06/2026
Only 0.49% of Mexican economic units report using artificial intelligence tools.
The low diffusion at the aggregate level coexists with much higher adoption levels in larger organizations and in activities where information processing is central. This concentration limits the extent to which the productive benefits of the technology reach the economy broadly.
The size- and sector-based distribution shows marked differences: large companies and certain sectors have incorporated AI more quickly, while micro and small units remain lagging. This asymmetry explains why national adoption is low despite growing demand for digital solutions.
Main sectors with greater and lesser AI presence
- Higher adoption: corporate groups and business leadership; media; construction; transportation and storage; finance and insurance.
- Low or marginal adoption: agriculture, health, hotels and restaurants, manufacturing (at an aggregate level).
The contrast between sectors largely reflects the business structure: sectors with more companies handling large volumes of data or documental processes show higher usage rates, while sectors with a broad base of micro and small units reduce aggregate averages.
Besides the economic structure, adoption is shaped by the ability to invest in technological infrastructure, the availability of specialized personnel, and access to solutions that integrate AI without requiring high upfront amounts or extensive technical equipment.
In a environment where the use of AI-based tools is growing among professionals and advanced firms, SMEs face the risk of falling behind if they do not have practical pathways to incorporate conversational automation, assisted content generation, and unified analytics.
In response to that gap, we offer an alternative designed for teams with limited resources: a platform that centralizes multichannel conversational automation, assisted content generation, catalog management and analytics dashboards, designed to reduce operational friction and accelerate the realization of measurable benefits.
Our plans allow you to start with trials and scale according to results; there is a temporary option for short pilots and scalable plans that increase messaging capacity, users, and predictive functions.
The broader adoption of AI in Mexico will depend on supportive policies, training, and the availability of accessible platforms that allow small and medium-sized enterprises to integrate the technology into daily processes; without these elements, concentration in large firms may persist and, in turn, limit the reach of the productive boost that AI can offer.
