Our Gen AI Transition

Key findings include:

• Gen AI is more likely to augment jobs than replace them.
• AI adoption is early and varies across industries, with many workers using tools independently in their work.
• The impact of AI will vary across occupations, industries, regions and groups of people.
• Ensuring that we have the right skills will be essential.
• The study provides deep insights and practical recommendations to guide Australia’s next steps.

This study has three releases: Headline Release (14/8), Detailed Release (28/8), Technical Release (30/9).

Our analysis gives Australians a way to dive into other parts of the labour market and consider what working with technology might mean for them. Explore our Australia-first analysis using ILO methods for Australia on: 

• Labour Market Exposures , Skills Churn, Transitional & Frontier Prospects
• Industry Exposures and Demand for Entry-Level Jobs
• How Exposed VET Programs Are to Gen AI
• How Exposed Higher Ed is to Gen AI

The Gen-AI Capacity Study has three releases.

14 August – Headline Release

The overarching report and core data insights. This provides a national perspective on Australia’s generative AI capacity, showing where we stand now, where change is happening, and the indicators that matter most.

28 August – Detailed Release

Deeper dives into the analysis behind our findings and recommendations, including on Exposure, Adoption, Industry & Worker Adaptations, Labour Market Dynamism, Education & Training Responses, Future States & Pathways. Include detailed case studies based from consultations on the ground.

30 September – Technical Release

Technical documentation, methods and validations. 

Insights from case studies, at organisational and individual levels, are a critical input for the Gen AI Capacity Study and complement the extensive quantitative analysis. They:

• provide concrete examples that illustrate the applied implications of AI that cannot be obtained from quantitative data
• capture a diversity of views and experiences that quantitative data might miss, including those of employers, workers, and key groups of people of interest
• validate and enrich the findings from quantitative research methods.

These case studies will be available here, in the coming weeks.

This study has engaged with over 150 stakeholders and participants to whom we are extremely grateful for their generous contributions to this landmark study.

This study's consultation hub was open from March until May 2025 to seek responses to a list of key questions. Thank you to all who made a submission.