The Australian AI Jobs Story May Be Very Different to What We Expected

For the past two years, the dominant narrative around artificial intelligence and work has been relatively straightforward: AI will automate jobs, reduce headcount and replace large sections of the workforce. There has certainly been evidence pointing in that direction. But new Australian research suggests the reality may be more complicated.

In April, CSIRO released labour market research analysing hiring patterns across more than 4,000 Australian firms between 2020 and 2023. Published in the Australian Journal of Labour Economics, the study compared firms that had adopted AI with those that had not.

The findings challenge many assumptions shaping the current AI debate.‍ ‍Rather than cutting jobs, the research found that firms adopting AI were actually hiring more workers than comparable firms not using AI. After accounting for firm size, industry and location, AI-adopting firms posted 36% more non-AI related job advertisements over the study period.

But the more important finding sits underneath that headline number. Researchers examined “AI-exposed” roles: positions where AI can already perform some of the work involved. These are accountants, lawyers, analysts and other knowledge workers. Exactly the kinds of professions many associations represent.

What they found was that demand for these AI-exposed roles did not fall in firms that had adopted AI. However, it did fall in firms that had not.

This was not just increased hiring for specific roles like AI engineers or technical specialists. The increase extended across broader workforce demand, suggesting that firms integrating AI may be redesigning workflows and expanding capability alongside adoption. The research also found these firms were advertising for broader and more diverse skill combinations, particularly around communication, cognitive capability and adaptability.

As CSIRO's Dr Claire Mason put it: "AI-exposed workers may be disadvantaged if they're in firms that aren't using AI. Their peers in AI-adopting firms are potentially more competitive because they're able to use these tools to augment their work."

Source: CSIRO AI adopters aren’t cutting jobs, they’re creating them, April 2026

The implication is significant. AI capability is becoming a mainstream workforce expectation rather than a niche technical specialisation.

That finding aligns with broader labour market trends emerging globally. Indeed’s Hiring Lab recently reported that Australian job advertisements referencing generative AI more than doubled year-on-year, with AI capability increasingly appearing outside traditional technology roles. Demand for AI-related skills is now spreading into occupations such as sales, customer service, project management and professional advisory work.

Importantly, the occupations most exposed to generative AI are often professional and knowledge-based roles built around communication, analysis and administration. Yet exposure does not automatically translate into job loss. Instead, many organisations appear to be restructuring work around AI, using it to automate parts of jobs while increasing the value of human capabilities such as judgement, interpretation and decision-making.

What makes the CSIRO findings particularly important is that they are based on actual Australian firm behaviour rather than theoretical modelling. And they point towards a different workforce challenge than many organisations may have been preparing for.

The issue may not be job loss. It may be capability transition.

As AI becomes embedded into everyday workflows, employers increasingly need workers who can operate alongside these systems, interpret outputs, apply judgement and adapt to changing processes.

Historically, organisations separated “technology roles” from “business roles”. AI increasingly blurs that distinction. The ability to work effectively with AI is becoming embedded inside mainstream professional capability rather than sitting alongside it.

The CSIRO research suggests that firms able to combine AI adoption with workforce capability development may see meaningful productivity and growth advantages. Those that adopt technology without investing in people may struggle to realise value or face growing capability gaps.

For associations, the biggest risk for your industry may not be job losses, but an insufficient supply of workers equipped to operate effectively in AI-enabled workplaces.

As workforce expectations shift, associations and industry bodies will need better evidence about how roles, skills and capability requirements are changing across their profession.

At Survey Matters, our workforce census and workforce capability studies help associations understand emerging workforce trends, skills shortages, professional pressures and the impact of industry transformation, including AI adoption.

By combining workforce data, member insight and labour market analysis, we help associations build evidence-based strategies for workforce planning, professional development and future capability needs.

To discuss a workforce census or capability study for your profession, contact us via info@surveymatters.com.au