How AI Agents Will Revolutionize the Australian Workplace by 2025

The rise of agentic AI could help Australia address its low productivity growth problem while overcoming a burnout epidemic in the country, according to intelligent automation technology provider UiPath.

Australia’s productivity growth averaged just 1.2% throughout the 2010s. However, Australia’s Federal Treasurer, Jim Chalmers, noted that the Federal Treasury has downgraded its long-run forecasts for productivity from 1.5% to 1.2%. He has said “there is no more important structural problem” to fix in the economy.

Burnout may be a factor impacting workplace productivity. A survey of 1,000 full-time office workers by recruiter Robert Half found that 80% of Australians were experiencing some level of burnout in 2024. These findings are supported by Microsoft’s 2022 Work Trend Index, which revealed that 62% of Australian workers were burned out, higher than the global average of 48%.

Yelena Galstian, UiPath’s local head of solutions and customer advisory, told TechRepublic that leveraging AI and automation could help organisations attain productivity gains. It could also help individuals reduce burnout by providing more balance through technology support for manual tasks.

Agentic AI will be able to make decisions and perform actions

Agentic AI is viewed as the next step in automation. IBM combines planning, memory, tool usage, and autonomous actions to perform various workplace tasks. IBM envisions a future with armies of agents that can interact with humans and perform autonomous actions.

Galstian said agentic AI, named one of Gartner’s top 10 trends this year, enables automation to expand into decision-making tasks. AI agents will no longer rely on humans to outline problem-solving steps. They can reason independently and interact with tools, such as robotic automation systems, to perform actions.

AI agents poised to handle more cognitive steps

Previously, process automation technologies were leveraged to ease the burden of workers completing rules-based tasks, such as data extraction and entry. Galstian noted how the invoice dispute resolution process allowed some tasks to be performed by automation to cut down on time.

“Anything that would have been about reading and processing the invoice and entering it into systems, anything that would have been about a quick reply, or entering the result into the final finance systems; all of those types of things are classic automation skills,” Galstian explained.

However, as these agents become more advanced in the coming years, they can handle more cognitive steps in a process. They will determine appropriate resolutions independently, involving humans only for escalations, clarifications, or when specific criteria require human oversight.

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“The amount of time a human agent will need to spend on invoice dispute resolution will be significantly less than it would have been with traditional automation,” Galstian said.

“With agents, we’re giving up that curve of reliability for agency; we’re giving them the opportunity to act independently and make dynamic decisions. AI agents are good for non-deterministic type scenarios … where I might be giving the same input, but there are multiple ways a problem can be solved.”

AI agents will have applications across multiple Australian industries

Galstian said UiPath was seeing some excitement in the Australian market about agentic AI technologies.

“There are so many areas [where it can be applied],” Galstian said.

“It’s like the last mile of AI transformation; wherever the processing would have been more about streamlining the process, and there would have been a lot more, I suppose, human intervention that would be required. These are the kinds of processes that are now available for automation.”

What industries stand to benefit from AI?

Several industries could benefit from agentic AI technologies, according to UiPath.

Manufacturing: Manufacturing use cases will be “quite large” in Australia, Galstian said, making traditionally challenging supply chain and logistics planning tasks easier to manage.

Retail: Agentic AI could take the Australian retail sector’s ability to market and sell “one step further” by orchestrating more hyper-personalised sales and marketing initiatives.

Professional services: Human and virtual agents could work together in professional services, with agents helping with tasks such as analysing financial reports.

Health care: Galstian sees multiple use cases for AI agents in Australian health care, such as analysing health results or assisting with patient management.

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Workers and organisations stand to benefit from AI agents

UiPath’s Global Knowledge Worker Survey released earlier this year, which included Australian knowledge worker respondents, found that the global workforce is experiencing burnout. Almost a third (32%) of employees worldwide said they “felt extremely” or “very” burnt out, compared with 29% in 2023.

“A very large cohort of Australian organisations participated in the survey,” Galstian said. “The statistics showed there was so much strain on employees and burnout. A big support for that was that Australian workers were looking for how AI and automation could help them alleviate some of that stress.”

More than half (55%) of global respondents to the UiPath survey indicated a reduced workload would help, while over a third (37%) want more time and bandwidth to get their tasks completed, the door seems to be open for AI agents to support workers with tasks if it makes their lives easier.

Galstian recommends that Australian organisations seeking productivity gains focus on areas where they already see the potential for automation.

“We’re looking for areas of the business where you might have a gut feeling about where challenges lie in terms of inefficiencies,” she said.

“We’re looking for where we can reduce non-value added work, opportunities for error, or cycle times, and where, if we were smart about how we did the operations, we could increase scale and speed of something you’re trying to do without driving up costs.”