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It addresses the availability of the technological elements and conditions essential for the effective development of AI, including reliable connectivity, access to supercomputers capable of processing large volumes of data, high-quality open data for model training, and the presence of skilled human resources in AI, among others
This dimension consists of three subdimensions:
1) Infrastructure, that refers to the technological foundation necessary for AI to flourish, composed of three indicators.
2) Data, which is related to the inputs required for AI to generate outcomes or services, consisting of one indicator.
3) Human Talent, which represents the level of AI literacy and skills among a country’s population, made up of three indicators.
To create a structure that groups all variables affecting the “enabling factors” of AI, this index breaks down dimensions into sub-dimensions, indicators, and sub-indicators, the most granular level
Each of these subdimensions consists of indicators, which are further broken down into subindicators. These are measured and transformed into scores for this index.
It encompasses the conditions of access to the network and its characteristics. It is composed of 10 subindicators that measure the following aspects:
This indicator analyzes each nation’s capacity to store and process large amounts of data to generate AI products and services. It is measured through subindicators such as:
Reflects the level of access to and adoption of key technology infrastructure, measured through the subindicators of:
It covers everything related to data, which is the basis for managing AI applications, and is composed of four subindicators:
It examines the presence of curricular content in secondary education related, in some aspect, to AI. It is composed of the sub-indicators:
Measures the AI skills possessed by workers in their professional stage through the following subindicators:
Evaluates each country’s capacity to train talented professionals in advanced AI, measured through four sub-indicators:
The main findings of this dimension focus on the transformation of the labor market, where AI creates opportunities to enhance human skills.
The region exhibits a significant gap in AI engineering skills compared to the Global North; however, in the area of AI literacy, the gap is smaller, with some countries in the region showing relatively higher adoption of this technology. This creates opportunities to promote the use of AI tools within the workforce.
None of the 19 countries in the region has sovereignty in high-performance computing, which limits their progress in developing AI models. Coupled with a modest cloud culture, it becomes evident that reversing this negative impact is crucial for advancing AI in the region.
The growth of AI competencies in the Global South is primarily limited to basic AI techniques, while the rest of the world is advancing in Machine Learning and Natural Language Processing skills. Structural deficiencies in terms of software and computing seem to have a direct impact on the regional capacity to acquire specific competencies in the discipline
Despite the critical importance of seeking mechanisms to reduce the advanced human talent gap in the region, data indicate that the most urgent challenge lies in developing basic skills such as critical thinking, computational thinking, and STEM vocations, especially within public education systems. This approach is essential to ensure equitable and fair access to technology.
Costa Rica and Uruguay are the only countries that, in specific years between 2019 and 2023, had not lost more talent than they attracted, unlike other LAC nations, which showed a trend of talent flight related to AI. There’s potential for improvement in the region, not only to develop this talent but also to retain it.
The integration of generative AI tools could expedite tasks performed by the 5.69 million workers in Chile’s top 100 occupations. Depending on how the newly available time is allocated, this efficiency increase has the potential to elevate Chile’s GDP by 1.2 percentage points.
The interactive graph allows for a comparison of the ILIA 2024 results across dimensions, subdimensions, indicators, and subindicators for the 19 countries. This year, the Pioneers in Enabling Factors are Chile (64.60) and Uruguay (60.70).