Inner Sydney Work Tasks Have Australia's Highest AI Exposure

Nov 1, 2026
More than 45% of work tasks in the City of Sydney and North Sydney are exposed to AI automation, the highest share in Australia.

The Sydney Morning Herald reports that more than 45% of tasks performed by workers in the City of Sydney and North Sydney are exposed to AI automation, the highest share in Australia. The report, by the consultancy SGS Economics and Planning and released on Monday, also found exposure rates of 43% in Ryde and 42% in Willoughby and Parramatta.

The exposure rate generally declines with distance from central Sydney. About 40% of tasks are exposed in the Hills Shire, compared with 37% in Blacktown, 35% in Hawkesbury and about 30% in some regional areas where more work requires a physical presence.

Finance, professional services, technology and business services have the highest exposure. The analysis measured the exposure of work tasks to AI automation, not the probability of jobs disappearing altogether. Elsewhere, the City of Melbourne recorded 44.5% exposure, while Adelaide City and the City of Perth each recorded 43%. Federal Employment Minister Amanda Rishworth said there is no evidence so far of widespread AI-driven disruption to Australia's labour market.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.