Artificial Intelligence and the Labor Market in Ecuador: Analysis in the Financial Sector
Keywords:
Artificial Intelligence, labor market, Ecuador, ProductivityAbstract
In this article, we analyze the impact of Artificial Intelligence (AI) on the labor market in the financial sector in Ecuador, using a quantitative and descriptive approach. Data collection was carried out through a survey applied to 261 employees of traditional banks, cooperatives, and insurance companies, in which we asked about four dimensions: AI Implementation, AI Adoption, Labor Transformation, and Skills Development. The results show that most employees view the implementation of AI positively in terms of productivity, although there are concerns about its impact on professional development, such as limited career advancement and task automation. The adoption of AI has been moderate, with a widespread willingness to work with these technologies, but there is also uncertainty about their effects on employee skills and autonomy. Globally, we observe that AI is transforming the financial sector, improving efficiency and service personalization. In Ecuador, although implementation has been successful in some cases, challenges persist, such as the need for workforce retraining and improvements in technological infrastructure. We conclude that AI is creating new jobs and driving a transformation in the sector. However, we recommend strengthening digital education and continuous training to ensure an equitable transition to an AI-driven future labor market.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Editorial "Universo Sur"

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The publisher "Universo Sur", from the University of Cienfuegos, publishes the Universidad y Sociedad Journal under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
You are free to share (copy and redistribute) the content, in part or in whole, for non-commercial purposes.
Terms: 1) Attribution: you must provide appropriate credit (authors, journal, link to the article and to the license). 2) NoDerivatives: redistribution must be literal (no derivative works).
Authors retain their copyright. For commercial uses or those involving modification, please contact the journal.








