Key Points
Aldi worker ordered to pay $1,230 after pursuing ineligible unfair dismissal claim using AI.
Fair Work Commission found AI-generated materials focused on wrong date and ignored legal eligibility.
Macquarie University worker won case last week using AI successfully, showing technology can work with sound claims.
Workers now face financial risk if tribunal finds AI-generated claims waste time or lack legal merit.
A Sydney Aldi store assistant has been ordered to pay $1,230 toward the supermarket’s legal costs after pursuing an unfair dismissal claim using AI-generated arguments he was never eligible to make. Fair Work Commission deputy president Michael Easton issued the rare ruling on Wednesday, August 20, citing the worker’s unreasonable conduct and repeated warnings he ignored. The case marks the first time an Australian workplace tribunal has effectively punished an employee for wasting its time with AI-generated applications.
Why the worker was ineligible from the start
The Aldi worker had been dismissed three days short of the six-month minimum employment period required to claim unfair dismissal. His AI-generated materials focused on a different and irrelevant date from the beginning, obscuring this fundamental barrier. Deputy president Easton found the worker had ignored multiple warnings that he might have to pay costs and pressed ahead when it was clear he could not win.
Fair Work’s AI problem is growing
The Fair Work Commission has highlighted a rise in nonsensical AI-generated applications that have led to an explosion in its workload and slowed down its processes. Easton said the case was one with “no winner.” The tribunal originally was set up as a free forum to help employees, but AI-generated claims are now creating new pitfalls for workers who rely on the technology without understanding workplace law.
A contrasting victory shows AI can work
The Aldi ruling stands in sharp contrast to a Macquarie University worker who used AI successfully to become the first casual employee to win orders from Fair Work converting him to permanent part-time status, over the opposition of the educational institution’s lawyers. That victory came just last week. The difference: the Macquarie worker’s AI-generated materials were legally sound and his claim was meritorious.
What this means for workers using AI
Workers considering AI-generated claims in Fair Work now face a new risk: being ordered to pay the employer’s legal costs if the tribunal finds their conduct unreasonable. The Aldi case shows that AI tools can generate plausible-sounding arguments that mask fundamental legal barriers. Workers must verify their eligibility and the accuracy of AI-generated claims before filing, or risk bearing the cost of pursuing a case they never had a right to bring.
Final Thoughts
The Aldi ruling signals that Fair Work will hold workers accountable for AI-generated claims that waste tribunal time. While AI can aid legitimate cases, relying on it without legal knowledge creates real financial risk. Workers should seek human legal advice before filing.
FAQs
He was dismissed three days short of the six-month minimum employment period required by law to claim unfair dismissal in Australia.
Deputy president Michael Easton called the AI-generated materials “just plain wrong” and found they focused on a different and irrelevant date from the start.
Yes, this is the first ruling effectively punishing a former employee for wasting Fair Work Commission time with AI-generated applications.
Yes. A Macquarie University worker recently used AI successfully to win orders converting him to permanent part-time status, showing AI can work when the claim is legally sound.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Danny Kontos
Co FounderDanny Kontos has been a stock investor since 2007 and co-founded Meyka in 2023. He keeps a small, focused portfolio and only moves when the numbers are hard to argue with. He has waited years on a single position before. Before Meyka, he ran a web hosting company and a mortgage lending platform, so he knows what a well-run business actually looks like under the hood. This article did not come from a news cycle. It came from someone who has been watching this space for a long time.
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