Future of Work in the AI Era

Giramkar Priyanka Ambadas · Zenodo (CERN European Organization for Nuclear Research) · 31 Oct 2026

Where this sits in the debate

Will AI destroy more jobs than it creates? · its finding goes against the claim (why studies differ)

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

Key takeaway AI-written

A narrative review of how AI is changing work, drawing on ILO, World Economic Forum and IMF figures: the WEF projects 170 million jobs created and 92 million displaced by 2030, and the IMF puts almost 40% of global employment as exposed to AI. It argues the future of work is a transition toward human-AI collaboration rather than a contest between people and machines.

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 work, jobs and required skills, and how should workers be prepared?

The approach

A narrative review drawing on ILO, World Economic Forum and IMF reports about AI and employment.

The findings

It cites WEF estimates of 170 million jobs created and 92 million displaced by 2030, and IMF estimates that almost 40% of global employment is exposed to AI. It argues the change is a transition toward human-AI collaboration rather than a contest between people and machines.

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

No new data; the figures are taken from other organisations' projections.

Abstract

Abstract Artificial Intelligence (AI) is transforming the nature of work, employment, business operations, education, and organizational decision-making. The rapid development of machine learning, generative AI, natural language processing, computer vision, robotics, and intelligent automation has moved AI from experimental research environments into everyday workplaces. This transformation is creating new occupations and increasing productivity while simultaneously changing existing jobs and creating concerns about automation, employment displacement, inequality, privacy, surveillance, and the future of human skills. The International Labour Organization suggests that generative AI is more likely to augment many occupations than completely eliminate them, because most occupations contain a mixture of automatable and non-automatable tasks. The World Economic Forum's Future of Jobs Report 2025 estimates that, under the trends considered in its analysis, 170 million jobs could be created and 92 million displaced globally by 2030, producing a net increase of 78 million jobs. It also identifies AI and big data, networks and cybersecurity, and technological literacy among the fastest-growing skill areas, while emphasizing creative thinking, resilience, flexibility, leadership, and analytical thinking. The International Monetary Fund estimates that almost 40% of global employment is exposed to AI, with exposure higher in advanced economies because of their larger share of cognitive-intensive occupations. This research paper examines how AI is changing the future of work, the relationship between humans and intelligent systems, emerging employment opportunities, potential job displacement, changes in required skills, organizational transformation, ethical challenges, and strategies for preparing workers. The paper argues that the future of work should not be viewed simply as a competition between humans and machines. Instead, it should be understood as a transition toward

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)