Análisis de la implementación de la inteligencia artificial en los emprendedores de la Universidad del Valle

Abstract

This research analyzes the implementation of artificial intelligence (AI) in university entrepreneurship, using Universidad del Valle as a case study. A mixed-method approach was employed, with a predominant quantitative descriptive design, complemented by interpretative analysis of results. The study followed a non-experimental, cross-sectional design, and the sample consisted of 108 entrepreneurs affiliated with the university, selected through non-probabilistic convenience sampling. The main instrument was a structured survey, validated by expert judgment and administered virtually. Findings reveal that although only 10% of participants have implemented AI in their ventures, 80% express future willingness to adopt it, and 82% are interested in receiving specific training. Entrepreneurs who already use AI report tangible benefits such as time reduction (55%), cost savings (45%), and service personalization (36%), highlighting its transformative potential in entrepreneurial contexts. The main barriers identified include lack of technical knowledge, associated costs, and limited access to institutional resources. These results support the development of pilot programs, multimodal training strategies, and institutional actions to promote responsible and effective AI adoption within the university's entrepreneurial ecosystem.