Technology Industry Employees’ Consciousness and Readiness for AI and Automation in Taiwan

Authors

  • Chia-Jung Wendy Chang Fu Jen Catholic University, New Taipei City, Taiwan
  • Yu-Chih Doris Shih Fu Jen Catholic University, New Taipei City, Taiwan

Abstract

This paper explores how employees in Taiwan’s technology industry view the effects of automation and artificial intelligence (AI) on their work and how ready they are for these changes. A mixed-methods design was used, combining a survey of 33 respondents with follow-up interviews with five participants. According to the survey results, only 3% of workers felt ready to adapt, even though the majority acknowledged that AI and automation already affected their jobs and the industry as a whole. Due to limited handson experience with AI tools, a lack of training opportunities, and restricted access to resources, nearly half of the employees felt unprepared. Almost all participants expressed their interest in further training, suggesting strong motivation despite existing barriers.

Keywords: technology industry employees, artificial intelligence (AI), automation, Taiwan

Author Biographies

Chia-Jung Wendy Chang, Fu Jen Catholic University, New Taipei City, Taiwan

Chia-Jung Wendy Chang is a senior double-majoring in English Language and Literature and Economics at Fu Jen Catholic University, New Taipei City, Taiwan. Her research interests include cross-cultural communication, the social impact of economics, and the applications of AI in education and society. She is preparing to pursue graduate studies in the United States in finance and analytics.

Yu-Chih Doris Shih, Fu Jen Catholic University, New Taipei City, Taiwan

Yu-Chih Doris Shih, PhD, is an Associate Professor in the Department of English Language and Literature at Fu Jen Catholic University, New Taipei City, Taiwan. Her research interests are in the areas of English language and cultural learning with technologies, instructional design, multimedia education, and distance learning. In recent years, she has also done research studies on digital learning in other content areas, such as the pharmaceutical and medical areas.

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Published

2026-02-24

Issue

Vol. 12 No. 1 (2026): Proceedings from the 9th Global Issues Conference

Section

Global Issues Conference Proceedings

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