The Dual Impact of AI on Routine-Task Jobs: A Multi-stakeholder Framework for Employment Transformation

Abstract

This paper meticulously conducts a comprehensive investigation into the impact of artificial intelligence (AI) on routine - task-intensive occupations. In the current landscape, with AI’s swift and pervasive penetration across numerous industries, this topic has become of utmost importance. Case study analysis vividly shows that AI is actively replacing a large number of traditional low-skilled jobs. Meanwhile, it is also spawning new complementary and service-oriented roles, presenting both challenges and opportunities. Through a multi-dimensional and in-depth assessment, the analysis clearly uncovers positive aspects, such as new job creation, as well as negative impacts like job displacement and worsened inequality. To effectively address these issues, it is proposed that governments should vigorously promote skills upgrading and re-employment initiatives. Enterprises need to carefully balance AI adoption with safeguarding employee rights. And workers themselves should proactively enhance their capabilities. Overall, this research offers valuable and practical guidance for stakeholders, making a notable contribution to fostering a more inclusive and sustainable approach to AI-driven labor market transformations, thereby holding substantial practical and social value.