
Miranda is an award-winning freelancer who has covered various financial markets and topics since 2006. In addition to writing about personal finance, investing, college planning, student loans, insurance, and other money-related topics, Miranda is an avid podcaster and co-hosts the Money Talks News podcast.
Doug is a Chartered Alternative Investment Analyst who spent more than 20 years as a derivatives market maker and asset manager before “reincarnating” as a financial media professional a decade ago.
Before joining Britannica, Doug spent nearly six years managing content marketing projects for a dozen clients, including The Ticker Tape, TD Ameritrade’s market news and financial education site for retail investors. He has been a CAIA charter holder since 2006, and also held a Series 3 license during his years as a derivatives specialist.
Doug previously served as Regional Director for the Chicago region of PRMIA, the Professional Risk Managers’ International Association, and he also served as editor of Intelligent Risk, PRMIA’s quarterly member newsletter. He holds a BS from the University of Illinois at Urbana-Champaign and an MBA from Illinois Institute of Technology, Stuart School of Business.

For years, financial scams followed familiar patterns: suspicious emails, fake lotteries, and callers pretending to be an IRS auditor or a representative from your bank. In recent years, though, generative artificial intelligence (AI) has dramatically changed the landscape.
Scammers can clone voices, generate convincing videos, imitate writing styles, and create fake emergencies that feel real. Whether itâs your grandchildâs voice, an email from your boss, or a video that appears to be from a friend in trouble, the technology behind these synthetic identity scams is advancing faster than many people realize.
You donât need to be a tech genius to protect yourself, though. With a healthy level of skepticism, a few practical safeguards, and a plan, you can avoid being taken in by impersonation scams.
Voice cloning and deepfakes are two ways scammers use digital impersonation to convince you to provide sensitive personal information, or even to send them money.
Voice cloning uses AI to recreate a personâs voice by analyzing audio samples. In some cases, fraudsters only need a short clip pulled from social media videos, including those posted on TikTok, Instagram, or YouTube. Clips from podcasts or voicemail greetings are also sources for samples that can be used to generate realistic-sounding audio.
Deepfakes are AI-generated or AI-altered videos and images designed to look authentic. A scammer can create a fake video call, manipulate facial expressions, or generate content that seems to come from a trusted source. As with obtaining a voice sample, itâs not difficult for fraudsters to find images on social media that they can manipulate to convince you to share information you wouldnât give to a stranger.
Both the Federal Trade Commission (FTC) and the FBI report that impersonation scams are among the most common forms of fraud. AI tools are increasingly being incorporated to improve realism and allow scammers to scale up their efforts by defrauding more people at once.
Have you or a loved one been a victim of identity theft? The next few hours, days, and weeks are critical. Learn more with Britannica Moneyâs guide to identity theft recovery.
Many AI scams rely on emotional manipulation, an old-school approach that attempts to create panic, urgency, or trust quickly so you act without thinking. Common scams use voice cloning, deepfakes, and writing to appear more convincing. The FTC warns that with the help of AI-generated audio and visuals, scams such as these may be more convincing than traditional robocalls:
People share a surprising amount of information online, and itâs possible for AI to scrape data from social media profiles. Fraudsters might find family and friend connections and get an idea of who youâre likely to respond to. Armed with this information and with a few clips of audio and video from connectionsâ pages, itâs possible to create a convincing story.
Although this new generation of AI fraud is quite high-tech, protecting yourself often comes down to a few low-tech habits. These strategies can help reduce your chances of becoming a victim of a digital impersonation scam:
Many AI scams specifically target older adults because fraudsters assume they have savings and strong family connections, making them more likely to respond to emotionally manipulative requests for help. Because some older adults are less familiar with AI technology, voice cloning and deepfakes can seem more believable. Emotional manipulation exploits fear, not intelligence, and older adults might be more worried about loved ones or more vulnerable to feelings of loneliness. Learn more about seniors and identity theft.
Anyone can fall for these scams. If you believe youâve encountered one, the first step is to stop communicating. Once you become suspicious, end the call.
If youâre concerned about a work email, donât respond. Instead, forward it to your companyâs IT or cybersecurity team. Find out from your employer where to forward suspicious emails if youâre not sure.
Once you stop communicating with the scammer, change your compromised passwords and enable MFA if you havenât already. If money or sensitive financial information may have been involved, call your bank and consider freezing your credit. Report the incident to the FTCâs fraud department (ReportFraud.ftc.gov), the FBIâs Internet Crime Complaint Center (IC3), or both.
Finally, share your experience with others. One way to help prevent future AI scams is to reduce the stigma around being scammed. Anyone can be defrauded, and itâs not a reflection of your intelligence or character if you are a victim of an AI scam.
Artificial intelligence has made scams more sophisticated, more personal, and harder to detect. Voices, videos, and written messages can now be manipulated in ways that were practically impossible a few years ago. Even so, the fundamentals of fraud prevention remain the same. Slow down, verify requests independently, and follow strong security practices.