Effect of automation of routine and non-routine tasks on labour demand and wages

IF 1.7 Q3 MANAGEMENT

IIMB Management Review Pub Date : 2024-12-01 DOI:10.1016/j.iimb.2024.09.001

Arvind Upreti, V. Sridhar

引用次数: 0

Abstract

Artificial intelligence and associated technology advances have progressively diffused from routine tasks to non-routine tasks, causing disruptions in the labour market. In this work, we study the effect of automation on the labour market outcomes for low-skilled and high-skilled workers. We use the agent-based modelling approach to model firms and workers as rational agents with defined objective functions, endowments, and interactions. Using extensive simulations, we analyse the emergent phenomenon of employment levels and wage inequality in the labour market under varying scenarios. The key findings of our simulations indicate that automation of routine tasks increases wage inequality, whereas automation of non-routine tasks reduces it. Based on our results, we propose policy prescriptions regarding the job categories in which automation can be introduced for societal benefits, the skill enhancement programme needed for the workers, and guidelines on the redeployment of labour displaced through automation.

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日常和非常规工作自动化对劳动力需求和工资的影响

人工智能和相关技术的进步已经逐渐从常规任务扩散到非常规任务，导致劳动力市场出现混乱。在这项工作中，我们研究了自动化对低技能和高技能工人劳动力市场结果的影响。我们使用基于主体的建模方法将企业和工人作为具有明确目标函数、禀赋和相互作用的理性主体进行建模。通过广泛的模拟，我们分析了不同情景下劳动力市场中就业水平和工资不平等的新现象。我们模拟的主要发现表明，常规任务的自动化加剧了工资不平等，而非常规任务的自动化则减少了工资不平等。根据我们的研究结果，我们提出了一些政策建议，包括哪些工作类别可以引入自动化来实现社会效益，工人所需的技能提升计划，以及通过自动化重新部署劳动力的指导方针。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IIMB Management Review MANAGEMENT-

CiteScore

3.20

自引率

5.90%

发文量

审稿时长

68 days

期刊介绍： IIMB Management Review (IMR) is a quarterly journal brought out by the Indian Institute of Management Bangalore. Addressed to management practitioners, researchers and academics, IMR aims to engage rigorously with practices, concepts and ideas in the field of management, with an emphasis on providing managerial insights, in a reader friendly format. To this end IMR invites manuscripts that provide novel managerial insights in any of the core business functions. The manuscript should be rigorous, that is, the findings should be supported by either empirical data or a well-justified theoretical model, and well written. While these two requirements are necessary for acceptance, they do not guarantee acceptance. The sole criterion for publication is contribution to the extant management literature.Although all manuscripts are welcome, our special emphasis is on papers that focus on emerging economies throughout the world. Such papers may either improve our understanding of markets in such economies through novel analyses or build models by taking into account the special characteristics of such economies to provide guidance to managers.