Have Your Say on Gen AI - Consultation Hub

It is critical for the Study to be informed by diverse perspectives on how Gen AI is affecting work and workplaces in the Australian labour market, including:

• Intersectional experiences with Gen AI in the labour market
• Worker perspectives on implementing Gen AI technology
• Business perspectives on working within a fast-moving technological landscape
• Digital access and capabilities as enablers for a Gen AI transition

To date, Jobs and Skills Australia (JSA) has consulted with a range of organisations through meetings, roundtables, focus groups, surveys and case studies, targeting the Study's scope.

Participants to date have included industry bodies, businesses, trade unions, government agencies, and non-government organisations. We have also consulted a range of individuals, including workers, managers, and business owners – some of whom participated in focus groups. The Study’s approach to consultation has been guided by its Steering Group, and has also been supported by the JSA Ministerial Advisory Board.

We are grateful for the robust engagement and generous assistance to date.

Through our consultation hub, we are inviting ongoing engagement from stakeholder groups and responses to the questions below, by 16 May 2025. You may wish to provide responses in writing via our consultation hub or to engage with the Study Team directly via AICapacityStudy@jobsandskills.gov.au.

1. How is Gen AI being adopted and used in Australia? What is driving the pace and depth of Gen AI adoption and use and what are the main barriers? What would improve the quality and pace of adoption across the labour market? How might Gen AI interact with other emerging technologies, like Agentic AI, or other labour market trends?
2. What effect is Gen AI having on work, workers and workplaces? What evidence is there of emerging effects on innovation, productivity, demand for skills and expertise? What effects are emerging on employment, remuneration, security of work or contractual arrangements?
3. How might the effect of Gen AI in the workplace differ for different workers (by individual or group characteristics)? Do some workplaces, industries and occupations need more intersectional expertise for successful transition? Where can Gen AI best support greater participation?
4. What does best-practice transition and adoption look like? Given the pace and depth of adoption, how should employers, employees and the skills system manage the transition? How can the implementation of Gen AI be better managed by employers, employees, governments and others? What form of consultation or engagement should take place between employers and workers about implementing Gen AI?
5. How will education and training systems need to adapt? How can industry work with the education and training system to develop capabilities for the transition to a Gen AI-enabled economy?
6. How will implications of Gen AI differ across higher education, vocational education and training and other forms of adult skill formation? Will the implications differ between accredited and non-accredited training, or full qualifications and micro-credentials?
7. What role can policy play? What actions can governments take now and in the future? What roles and responsibilities could be held by other parties (such as employers, workers, developers of software and other technology, education providers, or other institutions)?

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