Business · India Bureau
India shows lower anxiety over AI job displacement than wealthy nations
Research indicates Indian workers express less concern about artificial intelligence displacing jobs compared to populations in economically developed countries. The gap in worry levels correlates with differences in national wealth and economic development.
LSN India ·

A comparative study of public attitudes toward artificial intelligence reveals that concerns about job losses driven by AI adoption are markedly lower in India than in wealthier nations across the globe. The findings suggest that anxiety about technological displacement tends to increase alongside a country's gross domestic product per capita, indicating that economic prosperity may paradoxically amplify worker apprehension about AI's labor market impact.
The research demonstrates that citizens in higher-income economies express significantly greater concern about both direct job losses from AI implementation and the potential widening of wealth inequality as automation advances. This pattern emerged across multiple developed and developing economies examined in the study, suggesting a consistent relationship between economic development levels and perceptions of AI-related economic disruption.
India's relatively lower anxiety about AI-driven job displacement may reflect several factors, including the country's large informal economy, diverse employment sectors, and workforce demographics. The younger average age of India's population and rapid economic growth trajectory could also contribute to more optimistic outlooks regarding technological change compared to aging developed economies facing mature labor markets.
The findings provide insight into how different populations globally perceive the economic consequences of rapid AI advancement. As artificial intelligence technologies continue to evolve and integrate into workplaces worldwide, understanding these regional variations in public sentiment may prove valuable for policymakers developing strategies to manage technological transitions across different economic contexts.