The classic emergency money scam once relied on a shaky imitation of a relative in trouble. With artificial intelligence, that same ploy can now arrive in a voice convincing enough to rattle a family before anyone stops to question it, and the problem is growing.
Here's what to know
As The Conversation reported, the FBI's Internet Crime Complaint Center only began separately counting AI-linked complaints in its 2025 annual report. The Center logged more than 22,000 complaints connected to AI and roughly $893 million in reported losses.
Of that nearly $893 million, $632 million came from investment scams, and Americans aged 60 and older reported $352 million in losses.
Pawan Jain, a finance professor who studies household finance and how people use AI to make money decisions, said the central security problem goes beyond breaches at companies or government agencies.
"The most consequential AI security story right now isn't unfolding in server rooms, but at kitchen tables," Jain wrote.
The scams themselves are familiar, but AI has made them cheaper to run, faster to deploy, and much harder to spot. A few seconds of recorded speech can be enough for voice cloning, and AI writing tools can produce polished phishing messages without the warning signs people once knew to watch for.
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More background
These schemes work in part because they are built to override careful judgment. The caller sounds panicked, the message pushes for an immediate transfer, and the supposed investment deal insists the opportunity will disappear right away.
According to Jain, that manufactured urgency is essential to the fraud because "stress narrows attention and pushes people toward fast, intuitive judgments at the very moment they need slow, deliberate ones."
Funds can vanish in seconds. Payment services such as Zelle are designed for speed and convenience, which can make recovery difficult once criminals get into an account.
The FBI numbers may also understate the damage. Deloitte projects overall U.S. fraud losses could rise from $12.3 billion in 2023 to $40 billion in 2027, with AI helping drive that increase.
What can be done?
Jain said households can borrow some of the basic safeguards banks use to manage risk. One of the simplest is also one of the most effective: end the call and contact the person or institution again through a number you already trust, not one supplied in a message or by the caller.
He also recommended that families create an emergency code word, treat urgent requests without it as suspicious, and require a second person to approve large transfers. Even a 24-hour delay before sending a major payment can disrupt the false urgency scammers depend on.
Jain also pointed to reimbursement rules in the United Kingdom for many scam victims as a possible model, arguing that banks have more reason to stop fraud before money is sent when they must absorb more of the loss.
"Nobody plans to make a major financial decision mid-panic," Jain wrote. "That's exactly why scammers manufacture the panic."
Where can I learn more?
AI-enabled scams sit within a wider money landscape shaped by online offers, investment hype, and anxiety about what this technology can do. These articles broaden the picture beyond direct fraud, showing how digital pressure and confusion can make rushed money decisions more dangerous.
• Enticing crypto giveaways still hide real costs for users, as safety concerns eclipse promised money.
• Michael Burry bet against the AI bubble, warning hype can disguise common investment frauds.
• Growing investor alarm over AI's job disruption shows how the technology's risks extend beyond scams.
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