Speakers
Description
This research investigates the critical factors influencing the development and application of artificial intelligence (AI) across 62 countries, employing the Global AI Index as the principal evaluation framework. The study examines seven specific indicators grouped into five core variables: talent, infrastructure, operational environment, innovation, and investment. Using multivariate analysis, the research identifies that the presence of skilled human capital, robust technological infrastructure, and a supportive operational environment are foundational to fostering innovation in the field of AI. The results reveal strong and statistically significant correlations between talent and innovation, and between innovation and investment, underscoring the interconnected nature of these dimensions in driving national AI capabilities. These findings emphasize the strategic importance of education systems, governmental initiatives, and private sector engagement in cultivating ecosystems that support technological advancement. They suggest that nations seeking to lead in AI must prioritize investments in developing talent pipelines, ensuring access to cutting-edge digital infrastructure, and fostering environments conducive to research and entrepreneurship.
The study also notes that the operational environment does not exhibit a statistically significant direct correlation with innovation. This implies the presence of latent structural, regulatory, or policy-related constraints that may be limiting the influence of operational conditions on AI innovation. As a result, the study calls for deeper exploration into the contextual and institutional factors that either facilitate or inhibit AI progress across different national settings. Overall, this research contributes valuable insights for policymakers, academic institutions, and industry leaders aiming to enhance their countries’ AI ecosystems. By identifying and prioritizing key enablers, particularly talent, innovation, and investment, the findings provide actionable guidance for designing targeted interventions that promote sustainable and inclusive AI development on a global scale.
| Affiliation / University / Organization | Universidad Ana G. Méndez, Recinto de Gurabo |
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