
AI AND WORKFORCE DEVELOPMENT: A COMPARATIVE ANALYSIS OF SKILL GAPS AND TRAINING NEEDS IN EMERGING ECONOMIES
Gursahildeep Singh Sidhu , University of North Alabama, United States Md Abu Sayem , University of North Alabama, United States Nazifa Taslima , University of North Alabama, United States Ahmed Selim Anwar , Texas State University, United States Fariba Chowdhury , University of the Cumberland’s, United States Manataka Rowshon , University of the Cumberland’s, United StatesAbstract
AI is developing quickly and offers considerable prospects for economic development; nevertheless, it presents crucial challenges – for instance, skills development and its effect on employee's jobs in developing economies. This research will seek to establish the current state of AI-related skills deficits and training in these economies to establish how governments and organizations can close the gaps by preparing the workforce for the future AI revolution. In line with the research questions, the following emerges as the research problem: To what extent have emerging-market companies embraced AI? What key skills are scarce both in the internal and external labor markets relevant for AI training? What challenges hinder practical training and learning of AI skills in emerging markets?
The study, therefore, uses a quantitative research approach that involves administering questionnaires to one hundred working professionals across emerging economies. A set of questions was designed to evaluate the recognition of AI among the respondents, the level of AI integration into the organizations of the participants, the AI-related skills that are still inexperienced participants, and the ways of professional training that participants would appreciate. Also, the study explored the participants' perception of the government and organizations in addressing preparing the workforce for AI.
The evaluation shows that a considerable fraction of the population still needs to gain awareness of AI technologies, while many organizations still need to experiment with such machinery. Some of the most significant skill deficiencies noted involved ethical conduct in AI and AL with other systems, and the most preferred forms of learning were practical and online. However, at the same time, they described many hindrances to practical training, such as scarce time, excessive costs, and access to quality material.
According to the research study, teamwork between governments, schools, and other organizations and industries is crucial in addressing such challenges. Thus, the author states that emerging economies can improve their AI personnel through training activities and government measures. That is why filling these skill gaps and adopting innovative training is essential to prepare for the competitive AI marketplace these economies can get.
Keywords
Intelligence (AI), Workforce Development, Skill Gaps, Training Needs
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Copyright (c) 2024 Gursahildeep Singh Sidhu, Md Abu Sayem, Nazifa Taslima, Ahmed Selim Anwar, Fariba Chowdhury, Manataka Rowshon

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