Just days after engaging with an online advertisement for a cryptocurrency trading application, a 29-year-old man from Queensland experienced an impressive surge in his account balance.
Achieving financial success seemed effortless: he simply downloaded an attractive app and browser extension linked to his crypto wallet. Encouraged by the initial gains, he decided to invest even more.
However, things took a turn for the worse. Unauthorized withdrawals began emerging from his wallet, leading to a staggering loss exceeding $166,000.
In a panic, he reached out for assistance but was met only with a basic chatbot as the customer support system.
It was at this moment that he understood he had been ensnared by an investment scam designed with the help of artificial intelligence developed by advanced technology.
‘Scam Ecosystems’
According to data from Scamwatch, Australians have already lost over $45 million to deceptive investment scams in 2026, following reported losses exceeding $160 million in 2025.
Experts indicate that AI is dramatically reducing the administrative burden of perpetrating investment scams, replacing the need for cold calls and individual phishing emails with comprehensive “scam ecosystems” that are far more sophisticated.
Dr. Marco Navone, an associate finance professor at the University of Technology Sydney, warns that traditional warning signs are becoming less effective, making it challenging for consumers to identify these “industrial-grade” manipulations.
“Criminal organizations can now produce incredibly realistic and localized media, generate fake news articles, and craft synthetic reviews on a large scale,” explains Navone. “[In the past], skepticism was triggered by a poorly designed webpage or a company’s contact number being a mobile instead of a 1300.
“All those small inconsistencies are now eliminated … and this is particularly concerning when scammers focus on vulnerable populations.”
The Australian Federal Police reveal that scammers can replicate voices from just a few seconds of audio, create convincing deepfakes, and dispatch thousands of personalized messages tailored to a victim’s location and online activity. These AI-driven investment scams frequently promise access to a “financial adviser” with an Australian or English accent.
Regulatory Challenges
In 2025, the Australian Securities and Investments Commission successfully shut down approximately 12,000 scam websites; however, scammers continue to evade removal efforts using “cloaking” technology, which allows them to present scams to targeted individuals while displaying benign content to site moderators.
According to Dr. Andrew Childs, a criminology lecturer at Griffith University, cybercrime groups are now embedding AI into nearly every operational aspect.
“Criminals can design a complete environment where each component authenticates another,” he states.
He emphasizes that digital platforms share culpability: “In these instances, platforms aren’t merely passive hosts.
“They actively promote and distribute advertisements to audiences likely to engage.”
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Navone insists that digital platforms must be held accountable and required to confirm Australian Financial Services (AFS) licensing before any investment advertisements are published.
A report from the Australian Institute of Criminology in 2026 indicates that over 49% of Australians fear falling victim to AI-driven criminal activities, with 43% identifying AI impersonation as a notable risk.
Shifting Defense to the Financial Framework
An Australian Federal Police representative acknowledged that recovery rates for lost funds remain “extremely low,” while discussing an upcoming national scam prevention framework aimed at requiring banks, telecoms, and digital platforms to enhance AI scam detection.
Experts are advocating for increased monitoring of financial transactions, which includes mandatory confirmation-of-payee systems, enforced delays on high-risk transfers, and closer oversight of physical cryptocurrency ATMs.
Navone warns that AI can also become a target for social engineering attacks.
“In the near future, we expect consumers and businesses to increasingly rely on AI agents for financial decisions, managing portfolios, and executing trades,” he says. “This creates a precarious new frontier: AI tools may themselves become the targets of financial scams and social engineering efforts.”
Identifying AI-Generated Investment Scams
Always verify that any investment provider has an active AFS license by checking the ASIC register.
If you receive a request to transfer funds—regardless of whether it’s from someone you trust—return the call using the phone number you have on file for them.
Access investment platforms through an independent web search instead of clicking links in advertisements or messages. Also, look for scam alerts in the search results.
If you find yourself compromised, freeze your bank accounts at once, update all passwords, and report the incident to Scamwatch and the authorities. Victims can seek assistance from IDCARE for comprehensive national identity and cybercrime support.