FTC Report: Fraud Losses for Americans Over 60 Surge to $3 Billion in 2025
A Federal Trade Commission (FTC) report highlights a dramatic increase in fraud targeting Americans aged 60 and older, with reported losses rising from $600 million in 2020 to $3 billion in 2025. The agency warns that actual losses could be far higher, potentially reaching $119.5 billion due to underreporting.
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30 SEC SUMMARY
- The FTC reported a sharp rise in fraud targeting Americans aged 60+, with losses increasing from $600 million in 2020 to $3 billion in 2025.
- Older adults over 80 experienced the highest median losses, with reports of losses over $100,000 rising nearly sevenfold.
- Investment scams, government impersonation, and romance scams were the most common fraud types reported by older adults.
- Bank transfers accounted for over $1 billion in losses, while credit cards were the most frequently reported payment method.
- Underreporting suggests actual losses could be as high as $119.5 billion in 2025.
TABLE OF CONTENTS
KEY HIGHLIGHTS
- Fraud losses reported by Americans aged 60+ surged from $600 million in 2020 to $3 billion in 2025, according to the FTC.
- The FTC estimates actual losses in 2025 could range from $13.5 billion to $119.5 billion due to underreporting.
- Older adults over 80 reported the highest median individual losses, with a median of $2,000.
- Reports of losses over $100,000 increased nearly sevenfold from 2020 to 2025, accounting for 70% of aggregate reported losses in 2025.
- Investment scams, government impersonation, and business-impersonation scams were the most common types reported by older adults.
- Bank transfers accounted for over $1 billion in losses, while credit cards were the most frequently reported payment method for scams.
Reported losses and underreporting
The FTC’s latest report reveals that fraud losses reported by Americans aged 60 and older increased fivefold from $600 million in 2020 to $3 billion in 2025. However, the agency estimates that actual losses could be significantly higher, ranging from $13.5 billion to $119.5 billion, due to widespread underreporting.
Older adults over 80 reported the highest median individual losses, with a median of $2,000. Reports of losses exceeding $100,000 surged nearly sevenfold during this period and accounted for 70% of the total reported losses in 2025.
Most common scam types and payment methods
The most frequently reported scams targeting older adults involved investment schemes, government impersonation, and business-impersonation fraud. Social media was the most common platform for scams to originate, but phone-based fraud resulted in higher median individual losses.
Bank transfers were the payment method linked to the highest aggregated losses, exceeding $1 billion. Credit cards, however, were the most frequently reported payment method in scam cases.
Older adults were also significantly more likely to report losses from tech support scams (324% more likely) and romance scams (48% more likely) compared to younger age groups.
Examples of high-profile scams
The report includes examples of high-profile scams, such as cases where fraudsters impersonated public figures. A woman in her 70s in Washington state lost $63,000 to an individual posing as Elon Musk, believing she was in a romantic relationship with him and needed the money for dental surgery. Similarly, two women—one in her 60s in Alabama and another in her 70s in Michigan—reported losing $350,000 and $175,000, respectively, to scammers impersonating Johnny Depp.
Limitations of the FTC report
The FTC report does not include data on scams involving artificial intelligence (AI), though the agency acknowledges that AI-driven fraud is expected to become more prevalent in the future.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
This report underscores the growing vulnerability of older adults to sophisticated financial scams, particularly those involving impersonation and investment fraud. For founders and operators in fintech, cybersecurity, and elder care, the trends highlight urgent opportunities—and ethical responsibilities—to develop better fraud detection tools, education initiatives, and safeguards tailored to this demographic. The gap between reported and estimated losses also signals a need for improved reporting mechanisms, which could be an area for innovation or policy collaboration.
Key takeaways
- Fraud targeting older adults is accelerating, with losses concentrated in high-value scams like investment fraud and impersonation.
- Underreporting masks the true scale of the problem, suggesting a need for better detection and reporting tools.
- Phone-based and social media scams dominate, but payment methods like bank transfers enable larger losses.
- Founders in fintech and cybersecurity should prioritize solutions that address the unique vulnerabilities of older adults.
- Regulatory and industry collaboration could help close gaps in fraud prevention and reporting.
FAQ
Why are older adults more vulnerable to these scams?
Older adults often hold significant wealth, particularly Baby Boomers, who control about 51% of the nation’s wealth. Scammers target this demographic with sophisticated tactics, such as impersonation and investment fraud, exploiting trust, isolation, or limited familiarity with digital tools.
How does underreporting affect the FTC’s estimates?
Underreporting is a major issue, as many victims may feel embarrassed, confused, or unaware of how to report fraud. The FTC’s estimate of $13.5 billion to $119.5 billion in actual losses reflects the potential scale of unreported cases.
What role does AI play in these scams?
While the FTC’s report does not include AI-driven scams, experts anticipate AI will increasingly be used to create more convincing impersonations, automated phishing attacks, and personalized fraud schemes targeting older adults.
Related on Lazyfounder
Sources
- Gizmodo · 2026-10-20
New Data Show How Much Worse Scams Are Getting for Americans Over 60
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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