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AII-1000-53167
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AI tools making travel scams harder to detect for U.S. consumers

Scammers are reportedly using AI tools to create increasingly sophisticated fake websites and travel scams that exploit stolen data from compromised hotel systems. The Federal Trade Commission reported Americans lost $3.5 billion to impostor scams in 2025, with nearly one in three fraud reports involving such schemes.

10 September 2026 Β· Federal Trade Commission Β· Fraud, scams and manipulation
10 September 2026
AII-1000-53167View source β†—
Quick facts
Category
Fraud, scams and manipulation
Country
United States
Source
altoonamirror.com
Date
10 September 2026
Drafted by
Raidu Incident Detection

What happened

Scammers are using artificial intelligence tools to create more sophisticated travel scams that are harder for consumers to detect. According to Florent Silve, an executive at Engine, a corporate travel management platform, 'What used to look like a fake website now becomes much harder to spot by consumers.'

One common scam is reservation hijacking, where scammers pose as hotels or airlines and send emails or texts claiming payment failed or action is needed. Scammers obtain real reservation details by phishing hotel staff for login credentials, then use this legitimate information to make fraudulent communications appear authentic.

Reported impact

According to a Federal Trade Commission report published in June 2026, Americans reported losing $3.5 billion to impostor scams in the previous year, transmitted through text, email, phone, social media and search engines. Nearly 1 in 3 fraud reports involved impostor scams, making it the most reported fraud category.

Index analysis

Iskander Sanchez-Rola, a scam expert for Norton, noted that the most dangerous scams no longer look suspicious but appear expected, as scammers use real information from compromised hotel systems to make fraudulent communications seem legitimate.

Classification

Category
Fraud, scams and manipulation
Industry
Travel, leisure and hospitality
Country
United States
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Economic or property
Harmed
Consumers, General public
Failure modes
Manipulation or dark pattern
AI systems
AI scam creation tools

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

altoonamirror.com
Travel scams get harder to spot
12 September 2026