Project ID: FSO_ANN_2425_008
Last updated: 15 September 2026
Commencement date: July 2025
End date: March 2026
Report Published: July 2026
Overview
Informed by behavioural research and industry consultation, this project will develop practical resources to help small-medium employers support safe, effective generative AI adoption across diverse workforces.
Broad adoption of AI across the Australian economy could significantly boost productivity and GDP. However, uptake varies across different worker groups. Employers who prepare their workforces through training, safe implementation, and impact measurement are better placed to realise the benefits of AI adoption.
Working in partnership with industry leaders and SME employers, this project explores how workers in finance, technology, and business are adopting generative AI, and the role employers play in supporting that adoption. It will create practical resources for employers to help their workforces use AI safely and effectively, strengthening business practices and digital skills.
Project scope includes:
- Identify barriers and drivers of AI use across diverse worker cohorts
- Develop practical, employer-ready resources to support generative AI adoption
- Provide guidance on safe experimentation, governance, and ongoing skills development
- Help employers build organisational maturity to integrate AI effectively
This project equips employers with resources to embed safe and effective generative AI adoption.
Impact
For workers: Access to training and support that reflects industry change, building confidence and future-focused digital skills.
For industry: Practical resources to help employers embed generative AI safely and effectively, strengthening business processes and workforce capability.
Background Information
The first phase of this project examined behavioural factors influencing generative AI adoption in finance, technology, and business. Drawing on national and international evidence, the report Cognitive, social and economic factors influencing adoption of generative AI by workers explored why some workers embrace AI while others face barriers.
Prepared by the ARC Training Centre for Behavioural Insights for Technology Adoption, the research highlighted:
- Informal ‘shadow AI’ use is outpacing formal workplace adoption
- Trust and usability are critical drivers of adoption
- Small to medium enterprises and priority cohorts face steeper barriers
- Adaptive governance aligned with standards is needed
- Demand is growing for AI-complementary capabilities
- Clear guidelines, safe experimentation, and ongoing skills development are essential for equitable adoption
These insights will inform the next phase of the project, which will deliver practical resources for employers.
Consultation & Feedback
A Working Group has been established to co-design support resources for employers. Members include representatives from industry, training organisations, and regulators. Details of the Working Group are available in the “Documents” tab.
SME AI Coach & Case Study
Working Group
Reports
Research
Keywords: Needs & Gaps Analysis, Finance, Accounting, Payroll, Bookkeeping