AI Jobs Shake-Up - Workfaces Rapid Automation

AI is racing ahead and looks set to automate roughly a quarter of current work tasks as big companies lean into new technology to cut costs, boost productivity and in the process risk deep disruption to jobs and incomes.
Updated on

A fresh wave of powerful generative AI tools is moving from experimental to everyday use, and large employers across Australia and the US are already restructuring. Major banks, telcos, tech platforms and digital payment groups are shedding thousands of roles, signalling that what some call an “AI apocalypse” is no longer just a theory but a live shift in how white-collar work gets done.

Goldman Sachs research suggests that as generative AI spreads, about 6–7% of existing jobs could be displaced over the adoption period, with AI able to take over tasks representing around 25% of total work hours in economies like the US. The analysis finds that office support, legal services and computer and mathematical fields are among the most exposed, with nearly half of their everyday tasks potentially automated. Some global tech and finance firms are already cutting headcount by the tens of thousands as they reorganise around automation.

Behind these numbers sits a broader shift in how AI is used. Investment firms describe a move from AI as a basic “level two” productivity tool to “level three” autonomous agents that can be handed a goal, such as building an app or solving a business problem, and then manage the workflow end to end with minimal human input. That step up turns AI from a helpful assistant into a genuine labour substitute, expanding the potential market from tens of billions of dollars to something measured in the trillions. For employers, the question is less about whether AI “really thinks” and more about whether its output is accurate, fast and cheap enough to replace highly paid staff.

The bigger picture looks like a rocky transition rather than a simple jobs wipe-out. Analysts expect a spike in “frictional unemployment” as people whose roles are automated need years to retrain and move into new careers, echoing but potentially outpacing the damage offshoring once did to manufacturing. There are concerns that the speed of AI change could outrun society’s ability to adapt, yet forecasts also point to new categories of work, businesses and industries emerging over time, as long as humans retain an edge in certain types of creativity, judgement and relationship-driven roles.

Sources

Updated on

Our Daily Newsletter

Everything you need to know across Australian business, global and company news in a 2-minute read.