Artificial Intelligence and Labor Market Dynamics: Employment Problems and Development Trends

7 Pages Posted: 6 Dec 2024 Last revised: 10 Jan 2025

See all articles by Revaz Shengelia

Revaz Shengelia

Georgian Technical University

Demur Sichinava

Tbilisi State University (TSU)

Date Written: December 06, 2024

Abstract

This paper explores the dual impact of Artificial Intelligence (AI) on employment, examining both the job creation opportunities and the displacement risks AI brings to labor markets. As AI technologies advance across sectors like manufacturing, healthcare, finance, and services, they create new industries while automating routine tasks. However, the effects on employment are uneven, with high-skilled workers benefiting more than those in low-to-medium-skilled roles, contributing to greater economic inequality. The paper discusses the challenge of skill mismatches between traditional education systems and the evolving needs of the AI-driven economy. It highlights the importance of reskilling and lifelong learning initiatives to address these gaps. The study also reviews government responses to AI's impact, with proactive policies on digital infrastructure, education, and innovation better positioning countries to capitalize on AI's potential. Conversely, regions slow to adopt AI risk economic stagnation. The paper presents a framework for understanding AI's diverse effects on employment and suggests a balanced approach to harness AI's benefits while ensuring social equity. It concludes with policy recommendations to support a resilient, inclusive workforce capable of thriving in the AI era.

Keywords: Artificial Intelligence, Employment Dynamics, Job Creation, Job Displacement, Workforce Skills, Economic Policy, Reskilling Programs, Labor Market Development Trends

Suggested Citation

Shengelia, Revaz and Sichinava, Demur and Submitter, PAHTEI Journal, Artificial Intelligence and Labor Market Dynamics: Employment Problems and Development Trends (December 06, 2024). Proceedings of Azerbaijan High Technical Educational Institutions Journal, Available at SSRN: https://ssrn.com/abstract=5045832. or http://dx.doi.org/10.2139/ssrn.5045832

Revaz Shengelia (Contact Author)

Georgian Technical University

Demur Sichinava

Tbilisi State University (TSU) ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
155
Abstract Views
688
Rank
406,504
PlumX Metrics