Recommendations for the Australian Government Inquiry into the Digital Transformation of Workplaces are made regarding: 

• How to foster the benefits of AI for productivity, skills development, career progression and job creation in Australia. 
• How AI can generate new risks and opportunities, and consequences the deployment of generative AI for the nature of work, including effects on hiring, work intensity, job design, and job quality. 
• The effects of these techniques on the scope of managerial prerogative, labour rights, ability for workers to organise, procedural fairness, equality, discrimination, and dignity at work.
• The effects of digital technologies on small businesses and closing the gap and disadvantaged and vulnerable cohorts of workers, such as neurodiverse workers. 

These recommendations aim to develop an appropriate data infrastructure and multidisciplinary research to guide evidence-based analysis on an inclusive, productive and sustainable deployment of AI and more specifically generative AI.

This paper argues that Generative AI is the most transformational technology for our economy and society, particularly knowledge workers, as GenAI will transform how we generate various content. GenAI creates content that cannot be distinguished from human work, blurring the definition of work and raising new challenges for our society. GenAI is a tech that is both generative and conversational. This means that GenAI's outputs depend upon our interaction with the technology. GenAI represents a profound transformation in human-machine interaction and collaboration, as machines and workers can “communicate” through a common language. GenAI involves new ways of working with technology. Gen AI will highly transform work. However, nothing is predetermined about the impact on work and workers at this early adoption stage. How the technology will be deployed in workplaces will fundamentally change how we work, produce, create and collaborate. It is time to act to ensure a safe, inclusive and productive technology deployment.