AI-Exposed Jobs Are Growing 40% Slower in Australia

On 8 July 2026, the Department of Employment and Workplace Relations published Australia's first dedicated monitoring framework for AI's impact on the labour market. The AI and Employment in Australia report, written by the Office of the Chief Economist, uses ABS Labour Force Survey data and Jobs and Skills Australia's Internet Vacancy Index to track what is actually happening to Australian jobs since generative AI went mainstream in late 2022.

The headline: no evidence of broad AI-driven labour market upheaval. Unemployment sits at 4.4 per cent as of May 2026. Participation is near record highs. Youth outcomes have held up. Occupational reshuffling has not accelerated. Minister Amanda Rishworth was direct: "Artificial intelligence is not currently causing upheaval in the labour market."

But underneath that reassuring headline sits a number worth paying attention to. Employment in the occupations most exposed to AI has grown 5.6 per cent since November 2022. Employment in the least exposed occupations has grown 9.5 per cent. That is a 41 per cent gap in growth rates — nearly double the pace for roles AI cannot easily touch.

The report found "no common employment trend" across the jobs most exposed to AI. That matters. Software developer employment has grown 25 per cent since November 2022 — one of the fastest-growing occupations in the country. These roles are highly AI-exposed, but they use AI rather than being replaced by it. Human resource clerks are also above their November 2022 level after a period of volatility.

Clerical and administrative occupations, on the other hand, are growing more slowly than roles with less AI exposure. These are the data-entry, scheduling, document-processing, and bookkeeping tasks that generative AI handles competently today. The roles are not disappearing. But the economy is creating fewer new ones relative to everything else.

This is the distinction that gets lost in the headlines. AI is not eliminating a category of work overnight. It is shifting where the growth happens — gradually, measurably, and in a direction that rewards businesses who redesign roles around the technology rather than waiting for the technology to redesign roles around them.

If you run a trades business, your office coordinator handles scheduling, quoting, invoicing, and supplier follow-ups. That role is not at risk. But the business down the road whose coordinator uses AI to generate quotes in minutes, follow up on missed calls automatically, and reconcile supplier invoices overnight is getting twice the output from the same salary. The DEWR data shows this at a national scale — the administrative layer is not shrinking, but AI-equipped teams need fewer additions to handle more volume.

If you run an accounting or legal practice, the pattern is sharper. The firms that close the books seven and a half days faster with AI are not hiring fewer graduates. They are hiring graduates who spend less time on processing and more time on advisory — the work that justifies higher billing rates.

We wrote recently about Gartner's finding that 80 per cent of firms cut staff after deploying AI, with no improvement in ROI. The DEWR data adds the macro picture. The economy is not shedding AI-exposed roles. It is growing them more slowly while growing everything else faster. The businesses capturing value treat this as a role-redesign opportunity, not a headcount problem.

The most significant thing about this report is that the framework now exists. The government has built a repeatable monitoring system using the same methodology. Future shifts — if AI starts affecting specific occupations more sharply, or if certain industries accelerate restructuring — will show up in official data rather than consultant surveys. You no longer need to rely on vendor claims to understand whether AI is reshaping your hiring pool. The first reading is a baseline. What matters is where the line moves next.

List the roles in your business that involve tasks AI handles well — scheduling, data entry, document generation, reconciliation, follow-up communications. Those are not roles to cut. They are roles to redesign. Give those people AI tools and measure the before-and-after on output per hour. The DEWR report just confirmed what the best-performing businesses already know: the value is not in having fewer people. It is in each person covering more ground.

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