Artificial Intelligence and Transformations in the Labour Market

Sopan Krishna Patil · Zenodo (CERN European Organization for Nuclear Research) · 31 Oct 2026

Where this sits in the debate

Will AI actually boost productivity and growth? · its finding supports the claim (why studies differ)
Will AI destroy more jobs than it creates? · its finding: it depends (why studies differ)

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

Using secondary data from the ILO, WEF, OECD and other international organisations, this paper analyses how AI adoption is changing the global labour market, covering job displacement, skill shifts, productivity gains, wage inequality and polarisation. It also looks at sector-specific shifts in manufacturing, healthcare, finance, retail, logistics, education and IT.

The paper in three steps AI-written

Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.

The question

How is AI changing jobs, skills, productivity and wages in the global labour market?

The approach

Mixed qualitative and quantitative analysis of 2018-2025 secondary data from the ILO, WEF, OECD, IMF and World Bank, with sector-by-sector comparisons.

The findings

The paper reports productivity gains alongside job displacement, a widening income gap and skill mismatches; routine jobs are most at risk while jobs needing creativity, emotional intelligence and advanced analysis keep growing.

How to read it: review. A synthesis of existing studies — breadth over novelty; quality depends on what it includes and excludes.

Limitations and counterpoints AI-written

Relies on secondary aggregates, so it describes associations rather than causal effects; developing countries face infrastructure and training gaps the data cover unevenly.

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 over

About this publication

Preprint. A preprint — posted publicly before or without journal peer review; findings may still be revised.

Published: 2026 (recently)
Citations: 0 (OpenAlex)