Artificial Intelligence and Transformations in the Labour Market

Abstract One of the most transformative technologies of the twenty first century is Artificial Intelligence (AI) which has had a great impact on the global labour market. The adoption of AI technologies, including machine learning, robotics, natural language processing, and automation systems, into various sectors has reshaped employment landscape, productivity dynamics, and job demands in developed and developing countries. This research paper will analyze the effects of AI on the global labour market, including changes in job trends, job displacement, skill transformation, productivity gains, wage inequality, and labour market polarization. The study also explores sector-specific shifts in manufacturing, healthcare, financial services, retail, logistics, education and information technology. The method of the research is mixed (qualitative and quantitative) and the data used is secondary data obtained from international organizations namely International Labour Organization (ILO), World Economic Forum (WEF), Organization for Economic Co-operation and Development (OECD), International Monetary Fund (IMF) and World Bank. 2018 - 2025 data is analyzed to gain insight into the evolving job market as AI impacts it. The study highlights the positive impact of AI on productivity, efficiency, and economic growth, but also points to the potential challenges posed by AI such as job displacement and technological unemployment, the increasing income gap, and skill mismatches. The results show that only jobs with repetitive or routine tasks are at risk of being automated while jobs that need creativity, emotional intelligence, and high-level analytical skills are still increasing. Additionally, the paper discusses the new job roles in data science, AI engineering, cyber security, digital marketing, and the human-machine interaction. Digital infrastructure, technological readiness and the lack of training of the workforce are all challenges that developing countries have to overcome. Developed economies, on the other hand, are more likely to do so via innovation ecosystems and skill development programs. The study makes an important point about the importance of inclusive labour market transitions for the role of the governments, educational institutions, multinational corporations and international organisations.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23719684
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Transformations in the Labour Market

Sopan Krishna Patil
1 links
Zenodo (CERN European Organization for Nuclear Research)
Labor market dynamics and wage inequality
article

Artificial Intelligence and Transformations in the Labour Market

Sopan Krishna Patil
article en

Abstract

Abstract One of the most transformative technologies of the twenty first century is Artificial Intelligence (AI) which has had a great impact on the global labour market. The adoption of AI technologies, including machine learning, robotics, natural language processing, and automation systems, into various sectors has reshaped employment landscape, productivity dynamics, and job demands in developed and developing countries. This research paper will analyze the effects of AI on the global labour market, including changes in job trends, job displacement, skill transformation, productivity gains, wage inequality, and labour market polarization. The study also explores sector-specific shifts in manufacturing, healthcare, financial services, retail, logistics, education and information technology. The method of the research is mixed (qualitative and quantitative) and the data used is secondary data obtained from international organizations namely International Labour Organization (ILO), World Economic Forum (WEF), Organization for Economic Co-operation and Development (OECD), International Monetary Fund (IMF) and World Bank. 2018 - 2025 data is analyzed to gain insight into the evolving job market as AI impacts it. The study highlights the positive impact of AI on productivity, efficiency, and economic growth, but also points to the potential challenges posed by AI such as job displacement and technological unemployment, the increasing income gap, and skill mismatches. The results show that only jobs with repetitive or routine tasks are at risk of being automated while jobs that need creativity, emotional intelligence, and high-level analytical skills are still increasing. Additionally, the paper discusses the new job roles in data science, AI engineering, cyber security, digital marketing, and the human-machine interaction. Digital infrastructure, technological readiness and the lack of training of the workforce are all challenges that developing countries have to overcome. Developed economies, on the other hand, are more likely to do so via innovation ecosystems and skill development programs. The study makes an important point about the importance of inclusive labour market transitions for the role of the governments, educational institutions, multinational corporations and international organisations.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth, Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Labor market dynamics and wage inequality
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Artificial Intelligence and Transformations in the Labour Market — Sopan Krishna Patil · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS