Linking artificial intelligence job exposure to expectations
Understanding AI losers, winners, and their political preferences
Bibliographic Data
| ID | 6448515 |
|---|---|
| Authors | Jane Green (0000-0003-3975-8241, Nuffield Health), Zack Grant (0000-0002-9839-5447, Nuffield Health), Geoffrey M Evans (0000-0003-2036-7814, Nuffield Health), Gaetano Inglese (London School of Economics and Political Science) |
| Year | 2025 |
| Volume | 12 |
| Issue | 2 |
| Publication date | 2025-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Research & Politics (JOURNAL) |
| Journal identifiers | ISSN: 2053-1680 • E-ISSN: 2053-1680 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/20531680251337897 |
| OpenAlex | W4410941483 |
| Language | EN |
| Citations received | 1 |
| References cited | 24 |
The rapid expansion of Artificial Intelligence (AI) in the workplace has significant political implications. How can we understand perceptions of both personal job risks and opportunities, given each may affect political attitudes differently? We use an original, representative survey from Great Britain to reveal; (i) the degree to which people expect personal AI-based occupational risks versus opportunities, (ii) how much this perceived exposure corresponds to variation in existing expert-derived occupational AI-exposure measures; (iii) the social groups who expect to be AI winners and AI losers; and (iv) how personal AI expectations are associated with demand for different political policies. We find that over 1-in-3 British workers anticipate being an AI winner (10%) or loser (24%) and, while expectations correlate with classifications of occupational exposure, factors like education, gender, age, and employment sector also matter. Politically, both self-anticipated AI winners and losers show similar support for redistribution, but they differ on investment in education and training as well as on immigration. Our findings emphasise the importance of considering subjective winners and losers of AI; these patterns cannot be explained by existing occupational classifications of AI exposure
Cognitive psychology · Political science · Politics · Digital Economy and Work Transformation · Employment and Welfare Studies · Law · Psychology · Social Policy and Reform Studies · Social Psychology
Explaining Job Polarization
The Politics of Advanced Capitalism
Political machinery
Perceived technological threat and vote choice
Neither Left Behind nor Superstar
Globalization and the Demand-Side of Politics
Connecting Local Economic Decline to the Politics of Geographic Discontent
Who Can Assert Ownership Over Automation? Workplace Technological Change, Populist and Ethno-nationalist Rhetoric, and Candidate Support
Occupation and the Political Economy of Trade
Subjective losers of globalization
Dealing with Technological Change
Technological Risk and Policy Preferences
Automation and the Welfare State
Automation, Digitalization, and Artificial Intelligence in the Workplace
The Populist Backlash Against Globalization
Who Gets What
Automation risk and support for welfare policies
Global Competition and Brexit
Gone For Good
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |