The AI Application and Talent Demand of Taiwan High-Tech Manufacturing Industry

Authors: Shi-Yu Lu, Chung-Han Yeh, Li-Ping Chen, Yu-Cheng Chang

Abstract:

This paper uses both quantitative and qualitative approaches to survey the current status of AI-related applications and the structure of key AI jobs in Taiwan's high-tech manufacturing industry, as well as the demand for professional AI talents, skills, and training. The result shows that AI applications and talent demand vary from different industries in many aspects, including technologies used, talent structure, and training methods. This paper serves as a reference for the government to establish appropriate talent training programs, and to reduce the demand gap for professional AI talents in Taiwan manufacturers.

Keywords: Artificial intelligence, manufacturing, talent, training.

References:

[1] Accenture PLC (2016), “Why Artificial Intelligence is the Future of Growth”.
[2] CW Kuo, HL Yang, HC Liao, SH Hu, HC Tseng, CH Yeh and IC Tsai (2019), “AIGO: A comprehensive platform for cultivating AI talent using real-world industrial problems”.
[3] GW Kuo, HC Tseng, SH Hu, HY Lin, PY Lu, CH Yeh and IC Tsai (2020), “Cultivating AI Talents through Real Field Competition”.
[4] Department of Statistics, Ministry of Economic Affairs, https://www.moea.gov.tw/Mns/dos/.
[5] Institute for Information Industry (2020), “Taiwan ICT Talent Development Report”.