The Year of AI: Deloitte Forecasts Slower Hiring in Exposed Roles

Imagine you are preparing for a job search and seeing familiar roles change before the job title changes. Deloitte Access Economics says Australia is entering what it calls “the year of AI,” with artificial intelligence beginning to affect hiring patterns rather than causing broad redundancies. The finding matters because Deloitte identifies 82 “AI-disrupted” occupations that face a higher risk of declining employment growth as AI replaces tasks requiring less human judgement, empathy, or interpersonal skill.

The report is relevant to workers, employers, recruiters, students, and policymakers watching how technology may alter career planning. Public sources do not clearly confirm the full list of all 82 occupations. However, public reporting identifies examples including software programmers, web developers, librarians, tour guides, licensed club managers, human resources managers, engineering managers, hospitality managers, retail managers, graphic designers, medical imaging professionals, bank workers, law clerks, accountants, secretaries, logistics workers, telemarketers, sales-related workers, clerical and administrative workers, and professional and managerial occupations more broadly.

The forecast applies to Australia’s labour market, especially white-collar and knowledge-intensive industries. Deloitte says the exposed occupations are concentrated in financial and insurance services, professional, scientific and technical services, and information media. The timing is also important because the report places AI disruption inside a slower labour market. Deloitte says employment growth in the year to April 2026 was 0.9 percent, below the 1.9 percent average recorded over the previous three years, and it forecasts national employment growth slowing to 1.1 percent in 2026–27.

In practice, Deloitte assessed disruption by looking at whether occupational tasks can be automated and whether human qualities remain central to performance. It says employment growth in AI-disrupted occupations was already expected to slow from an annual average of 1.9 percent over the past five years to 1.2 percent over the next five years before accounting for broader AI diffusion. After including economy-wide AI diffusion, Deloitte says that figure could fall further to 0.5 percent. AI in this context is like a new current in a river: it does not remove the river, but it can change where the strongest flow goes.

The next issue is not whether every listed occupation will disappear. Deloitte says employment in these disrupted occupations has continued to rise so far, while vacancies in some of them have started to fall, suggesting the early effect is appearing more in recruitment than in redundancies. Public reporting also notes that some roles may be “AI-enhanced,” including leaders, legislators, life scientists, teachers, nurses, executives, and psychologists. A practical next step today is to compare a current job description with the tasks AI can automate, then identify where human judgement, communication, supervision, creativity, and care remain essential.

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