
Preparing Australia's Workforce for Generative AI
21.03.2024 - 04:06
Our new research ‘Preparing Australia’s Workforce for Generative AI’ in partnership with LinkedIn, examines the potential influence generative AI could have on Australia’s workforce. Our report finds that generative will transform the workplace for 7.2 million Australians by creating opportunities for productivity gains. The influence of generative AI is expected to vary significantly across industries, with the effect expected to be greatest amongst service-related sectors, which are also large sources of employment in Australia.
Generative AI will change the skills composition of Australian workers
Generative artificial intelligence (AI) has emerged as a new technology and tool at the disposal of everyone. It is a subset of machine learning using foundation models that specialises in generating output based on training data and user input.
To identify the potential impact of generative AI on the Australian workforce, we have leveraged LinkedIn's Economic Graph data to understand what skills could be replicated by generative AI and what skills would need to be performed by a human but could be complemented with generative AI. Based on this skills-based framework, jobs can be classified into three categories: (1) Augmented: jobs where the core skills include a large share of both GAI-replicable and GAI-complementary skills; (2) Disrupted: jobs where the core skills include a large share of GAI-replicable and a relatively low share of GAI-complementary skills; and (3) Insulated: jobs that have a relatively small proportion of GAI-replicable skills in their core skills.

Generative AI will transform the workplace for 7.2 million Australian workers by creating opportunities for productivity gains
There are 7.2 million workers who will need to re-skill and adapt to the potential opportunity that generative AI presents.

There are 3.3 million workers who will likely use generative AI to augment their work, while another 3.9 million will likely use generative AI to carry out more routine and predictable tasks to focus on greater value-adding activities.
Service-related industries are most likely to be influenced by generative AI – these industries are typically larger sources of employment
While the influence of generative AI is seen at the skills and occupation level, it will also have a varying degree of effect by industry.

Industries that are most likely to be affected are service-related industries, which are typically larger sources of employment for Australian workers.
Read and download the full report here.
Read our latest posts

Rethinking the APR
Mandala's latest research, commissioned by Block, examines whether US credit disclosure requirements remain fit for purpose in a rapidly evolving lending market. Drawing on economic analysis, a survey of nearly 1,600 US consumers and small business decision-makers, and proprietary credit data, the report finds that Annual Percentage Rate (APR) disclosures can misrepresent the perceived cost of short-term borrowing and influence consumer choices. The report makes the case for modernising credit disclosure requirements, with a more flexible approach that better reflects different credit products while preserving consumer protection and access to credit.
15 Oct, 2026

The augmented attacker: the growing AI-driven cyber threat to Australian businesses
Mandala's latest research, commissioned by CyberCX (part of Accenture), shows that the AI-driven cyber threat to Australian businesses is growing. The report finds that AI could increase the frequency and severity of cyber incidents targeting Australian businesses. As AI-driven threats grow, Australian businesses could face losses reaching up to $37 billion a year. However, investing in foundational cyber defences such as patching known vulnerabilities could reduce annual losses from $37 billion to $13 billion, a $24 billion saving. Three-quarters of the savings are from preventative actions. The report highlights the actions required from businesses and government to improve cyber defence.
13 Oct, 2026

The Stagnant Nation: Lifting Australia’s Dynamism
Australians are going backwards on real wages and income. Real wage growth has fallen from 0.6 per cent in the 2000s to -0.7 per cent today, the slowest rate since the 1990s recession. Weak productivity growth is a key driver. Productivity growth has dropped from 2.2 per cent in the 1990s to just 0.1 per cent today. The Productivity Commission has pointed to declining economic dynamism as one cause for weak growth, with fewer businesses starting, growing and competing. We confirm declining economic dynamism across five key dimensions and estimate that reversing this decline seen since the mid-2000s could see a GDP uplift of $101 billion per year over the next decade. Our analysis finds that regulation could account for around 20 per cent of declining dynamism. Reducing regulatory burden to late-2000s levels could see GDP uplift of at least $20 billion per year over the next ten years.
7 Oct, 2026

Demonstrating the economic benefits of Airwallex in Australia
Mandala's latest research, commissioned by Airwallex, quantifies the direct and indirect economic benefits of Airwallex in Australia. Airwallex supported $4.6 billion in economic benefits in 2025, a figure roughly equivalent to 2 per cent of the Australian tech sector's contribution to GDP. Of this, $2.5 billion flows directly to platform businesses through productivity gains, new market access and cost savings, with the remainder reaching the broader economy as those benefits move through customers' supply chains. Airwallex supports 29,000 jobs across the Australian economy, and a quarter of economic benefits flow to regional, rural and remote areas. Small and medium businesses capture the largest share of any business segment on the platform, $2.1 billion annually, or $200,000 in economic benefits for the average SMB each year.
16 Sep, 2026