Spin the Wheel

Top AI Scams to Watch

As artificial intelligence technology becomes more sophisticated and accessible, a disturbing new category of crime has emerged: AI-powered scams that leverage advanced machine learning to create convincing deceptions. In 2025, these scams have reached unprecedented levels of sophistication, with 76% of the U.S. population expressing concern about AI-enabled fraud. The most effective defense against these threats is awareness and understanding of how they work. The landscape of AI scams has evolved rapidly. What started as relatively simple phishing emails has transformed into complex, multi-layered attacks that use AI to personalize content, clone voices, generate deepfake videos, and create convincing fake websites. These scams are no longer the work of isolated individuals—they're sophisticated operations that leverage AI tools to scale their attacks and increase their success rates. One of the most insidious developments is AI-powered voice cloning. Scammers can now create convincing voice replicas using just a few seconds of audio, often harvested from social media posts, voicemail greetings, or public videos. These cloned voices are then used in "grandparent scams" where fraudsters call elderly victims, impersonating a grandchild in distress and requesting urgent financial assistance. The emotional manipulation combined with the convincing voice makes these scams particularly effective. The technology behind voice cloning has improved dramatically. Modern AI systems can capture not just the sound of a voice, but also its cadence, accent, and emotional tone. This makes the scams incredibly convincing, especially when combined with information gathered from social media about the victim's family members and their typical communication patterns. Spear phishing has also been transformed by AI. Traditional phishing relies on sending generic emails to thousands of recipients, hoping a few will fall for the scam. AI-powered spear phishing uses automated research to gather personal information about targets, then generates highly personalized emails that appear to come from trusted sources. The AI can analyze a target's social media presence, professional connections, and communication style to create emails that feel authentic and relevant. The sophistication of these attacks extends to the creation of fake customer support numbers that appear in Google's AI Overview results. Scammers use a technique called "generative engine optimization" (GEO) to manipulate how Google's AI summarizes search results. By creating websites optimized for AI crawling, scammers can get fake phone numbers to appear in the AI Overview box at the top of search results, tricking users into calling fraudulent support lines. Deepfake technology represents perhaps the most alarming development. AI can now generate convincing video and audio content featuring public figures, politicians, and celebrities saying or doing things they never actually did. These deepfakes have been used to promote fraudulent cryptocurrency schemes, with fake videos of prominent figures endorsing investment opportunities that turn out to be scams. The financial losses from deepfake fraud reached $200 million in 2025 alone. The challenge of combating AI scams is compounded by the speed at which the technology evolves. As soon as security measures are developed to detect one type of scam, scammers adapt their techniques. This creates an ongoing arms race between those developing security solutions and those developing new attack methods. Protection against AI scams requires a multi-layered approach. Technical solutions like two-factor authentication, email verification, and voice authentication can help, but they're not sufficient on their own. Users also need to develop critical thinking skills and healthy skepticism, especially when dealing with urgent requests for money or personal information. Education is crucial. People need to understand that AI can now create convincing fakes, and they should verify any unusual requests through independent channels. If someone calls claiming to be a family member in distress, it's essential to call that person directly using a known phone number. If an email appears to be from a company, it's important to verify the contact information through the company's official website, not through search results or links in the email. The rise of AI scams also highlights the importance of privacy settings on social media. Much of the information used to personalize AI-powered scams comes from publicly available social media profiles. By keeping profiles private and limiting the personal information shared online, individuals can reduce their exposure to these sophisticated attacks. Looking forward, the battle against AI scams will require cooperation between technology companies, law enforcement, and individual users. AI companies need to develop better detection and prevention tools. Law enforcement needs resources and training to investigate and prosecute these crimes. And users need to stay informed about the latest threats and protection strategies. The emergence of AI-powered scams is a reminder that every powerful technology can be misused. As AI capabilities continue to advance, we can expect scammers to find new ways to exploit them. The key is to stay ahead of these threats through a combination of technical solutions, education, and vigilance. The 76% of Americans who are concerned about AI scams are right to be worried—but with the right knowledge and precautions, individuals can protect themselves from these sophisticated attacks.