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The impact of AI exposure on labour market outcomes and well-being: Evidence from Australia

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  • Duran Vanegas, Juan
  • Tuda, Dora

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  • Duran Vanegas, Juan & Tuda, Dora, 2025. "The impact of AI exposure on labour market outcomes and well-being: Evidence from Australia," Papers WP808, Economic and Social Research Institute (ESRI).
  • Handle: RePEc:esr:wpaper:wp808
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    2. Abeliansky, Ana Lucia & Beulmann, Matthias & Prettner, Klaus, 2024. "Are they coming for us? Industrial robots and the mental health of workers," Research Policy, Elsevier, vol. 53(3).
    3. Patel, Pankaj C. & Devaraj, Srikant & Hicks, Michael J. & Wornell, Emily J., 2018. "County-level job automation risk and health: Evidence from the United States," Social Science & Medicine, Elsevier, vol. 202(C), pages 54-60.
    4. Stefania Albanesi & António Dias da Silva & Juan F Jimeno & Ana Lamo & Alena Wabitsch, 2025. "New technologies and jobs in Europe," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 40(121), pages 71-139.
    5. Mauro Cazzaniga & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024. "Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis," IMF Working Papers 2024/116, International Monetary Fund.
    6. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
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