AI Literacy and Skills for Organizational Transformation in Thai Enterprises

Abstract

Purpose: This study aims to investigate the current state of AI literacy, identify critical skill gaps, and evaluate the effectiveness of training strategies for driving successful AI-driven organizational transformation within Thai enterprises. Design/Methodology/Approach: A mixed-methods approach was employed, beginning with a quantitative survey of 294 professionals to gauge baseline AI awareness and confidence. This was followed by in-depth qualitative interviews with three key stakeholder groups: employees (n = 12), trainers (n = 6), and HR professionals (n = 3) from various. Findings: The research reveals a strong motivation for AI upskilling but a significant generational and role-specific skill gap, particularly in practical application and ethical understanding. Training initiatives focused on tools like ChatGPT demonstrably improve efficiency, save time, and foster positive employee attitudes. However, major challenges persist, including unequal access to technology, varying proficiency levels, and a need for more user-friendly AI design for diverse demographics. Practical Implications: The organizations need to come up with ongoing and role specific trainings, use internal champions as instructors and combine AI learning with re-engineering of processes. Accessibility through the provision of the required tools is important. A way that policymakers can contribute is by promoting initiatives that can introduce AI education and resources to more people. Originality/Value: This study provides a nuanced, multi-stakeholder perspective on AI adoption in Thailand, moving beyond technical implementation to focus on the human and organizational factors critical for transformation. It offers unique cultural insights, such as the emphasis on user-friendliness for older generations, which are absent in broader global studies.