Emotional intelligence (EI) comprises skills, attitudes, and talents affecting responses to environmental changes and stress. Artificial Emotional Intelligence (AEI) is a $20 billion research area applied across industries. High-level representations of emotional responses require advanced learning methods. This paper proposes a recurrent neural network model to predict EI based on age, gender, occupation, marital status, and education. The model outperforms regression models and estimates EI across occupational, professional, gender, and age groups, supporting planning to address deficiencies. © 2022 Elsevier B.V., All rights reserved.