AI-Powered Scams Cost Americans Nearly $900 Million

TL;DR: The FBI reports Americans lost nearly $900 million to AI-powered scams. The figure, likely an underestimate, highlights a rapidly growing threat for businesses driven by voice cloning and deepfakes.
Key facts
- Category
- Cybersecurity
- Impact
- High
- Published
- Source
- Malwarebytes Labs
Full summary
The FBI reports Americans lost nearly $900 million to AI-powered scams, a figure that likely represents only the tip of the iceberg.
A new report from the FBI reveals a staggering financial toll from AI-driven crime. Americans reported losing nearly $900 million—specifically $893,346,472—to scams powered by artificial intelligence, based on over 22,300 complaints filed. The FBI's 2025 Internet Crime Report highlights that this figure likely underrepresents the true scale of the problem, as many incidents go unreported. These scams are becoming increasingly effective and difficult to detect, largely due to the proliferation of accessible AI tools. The primary technologies enabling these attacks are voice cloning, which can convincingly mimic a trusted person's voice in a phone call, and deepfake images and videos, which are used to create believable but entirely fabricated scenarios or impersonate individuals.
For founders, CTOs, and security leaders, these statistics are a critical warning. The same AI technologies targeting individuals are being weaponized against businesses for more sophisticated attacks. Voice cloning can be used to bypass voice-based authentication or to create convincing social engineering calls, tricking employees into transferring funds or revealing sensitive data. Deepfakes can be used in advanced phishing campaigns or to generate disinformation that harms a company's brand reputation. The nearly $1 billion in reported consumer losses demonstrates the high success rate of these methods, signaling that corporate defenses must evolve beyond spotting simple email typos. Traditional security awareness training may no longer be sufficient to prepare employees for highly personalized and believable AI-generated attacks.
The rapid advancement and democratization of generative AI tools suggest this is not a temporary spike but the beginning of a new, persistent threat landscape. As the technology becomes more powerful and easier to use, the volume and sophistication of AI-powered scams will almost certainly increase. This puts pressure on security teams to re-evaluate their entire defense stack, from employee training protocols to technical controls. Companies must now consider how to verify identity and communications in an environment where seeing or hearing is no longer believing. The focus will need to shift toward multi-layered verification processes and educating staff on the specific tactics used in AI-driven social engineering.
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Primary source: Malwarebytes Labs