Current Issue

GENERATIVE AI IN THE TAIWANESE JOB MARKET: A CROSS-OCCUPATIONAL ANALYSIS OF EMERGING SKILL DEMANDS

Anders Granmo

College of Management, Chung Hua University

This email address is being protected from spambots. You need JavaScript enabled to view it.

Ming-Lang Yeh

College of Management, Chung Hua University

This email address is being protected from spambots. You need JavaScript enabled to view it.

Sheng-Hsun Hsu

College of Management, Chung Hua University

This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Adoption of ChatGPT and other large language models (LLMs) has stimulated interest in assessing how foundation-model competencies appear in current job advertisements across various fields and industries. This study investigates how Taiwanese job postings are integrating generative AI across distinct occupational families, focusing on the depth and nature of AI-related skill requirements. Drawing on a dataset of 628 postings, two complementary strategies are employed in order to assess both the prevalence and the specific skill sets associated with these technologies. The combination comprises frequency-based metric of AI references within each post and a targeted topic model isolating text specifically referencing generative AI. Results indicate that technologically oriented and creatively driven families, such as Computer and Mathematical and Arts, Design, Entertainment, demonstrate substantially higher mentions of foundation-model capabilities. In contrast, managerial and sales-centric roles tend to reference AI more sparingly. These findings suggest a widening skill gap in Taiwan’s labor market, where requirements for AI proficiencies are particularly concentrated in fields already leveraging technical or creative expertise. The outcomes can guide university curricula, corporate training, and policy decisions aimed at cultivating relevant AI proficiencies across diverse occupational domains.

Keywords: generative ai, Chat GPT, Large language models