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A federal bill introduced in the 119th Congress would target scams that use AI to impersonate people, businesses, and government officials. It is a proposal, not an enacted nationwide law: the Artificial Intelligence Scam Prevention Act, S. 3495, was introduced in the Senate and referred to committee. Some existing federal laws already apply to AI-enabled fraud and robocalls, so consumers do not have to wait for this bill to take basic protective steps.
What is the status of the proposed AI scam law?
S. 3495, the Artificial Intelligence Scam Prevention Act, was introduced in the 119th Congress (2025–2026) and referred to the Senate Commerce Committee. The available congressional record does not establish that it became law. Until a bill completes the legislative process and becomes law, its proposed prohibitions do not create new nationwide obligations.
The bill’s findings cite more than $1.4 billion stolen from people in the United States through phone and text-message scams in 2024. That is a figure cited by the bill, and it concerns phone and text scams broadly—not a verified total for AI-enabled scams alone.
Other proposals introduced in 2026 include the AI Fraud Accountability Act, S. 3982, and the Protecting Consumers from Deceptive AI Act, H.R. 8893. Their introduction reflects legislative activity; it does not mean either proposal is in force.
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What would S. 3495 prohibit?
The bill would treat certain deceptive impersonation and AI-enabled fraud as unlawful. Its text would cover:
- Deceptively impersonating a government entity, business, or official in an act or practice affecting commerce.
- Replicating an individual’s image or voice, including with AI, with intent to defraud.
- Providing substantial assistance to a violator when the provider knows or reasonably should know that the assistance will facilitate the prohibited conduct.
The proposal focuses on deception and fraud, not simply on whether a technology is AI. Its limiting concepts include impersonation, intent to defraud, and—in the assistance provision—knowledge or reason to know. A lawful, authorized voice or likeness use is not the same as fraudulent impersonation; the bill’s text should not be read as a blanket ban on AI-generated speech, parody, entertainment, accessibility tools, or licensed uses.
How would enforcement work?
S. 3495 would treat violations as violations of an FTC rule defining an unfair or deceptive act or practice. It would also direct agencies to improve information-sharing and reporting around scams:
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- Relevant complaint information about mail, television, internet, telemarketing, and robocall fraud would be recorded in the Consumer Sentinel Network and made available to federal, state, and local law enforcement.
- The FTC and FCC would form a joint advisory group on AI-enabled scams.
- The FTC would report to Congress on AI-enabled scams and recommend policy responses, with particular attention to voice-clone impersonation.
- Additional reporting would address robocalls and misleading or inaccurate caller-identification information.
These provisions are primarily regulatory and administrative in character. They should not be described as creating a universal new criminal offense. Criminal charges, civil remedies, and agency enforcement depend on the law that applies and the facts of a case.
What protections already apply?
AI does not exempt a scam from existing consumer-protection or communications laws. Which law applies depends on the conduct: a cloned voice used to solicit a transfer, a spoofed caller ID, a deceptive text, and an unlawful robocall are related risks but not identical legal issues.
| Authority | What it covers | Important limit |
|---|---|---|
| FTC Act, Telemarketing Sales Rule, and FTC Impersonation Rule | The FTC says it can use these and other authorities against deceptive or unfair conduct, including impersonation and some AI-enabled scams. The agency reported that consumers lost nearly $3 billion to impersonators in 2024. | The FTC’s nearly $3 billion figure is for impersonation scams generally, not AI-generated scams alone. The specific rule or authority depends on the conduct. |
| Telephone Consumer Protection Act (TCPA) | In February 2024, the FCC clarified that the TCPA restrictions on calls using an “artificial or prerecorded voice” apply to AI-generated voices, including voice clones. Required prior express consent generally applies, subject to statutory exceptions and the call’s context. | Not every AI-generated or prerecorded call is automatically illegal. Consent, purpose, content, and exceptions matter. |
| Truth in Caller ID Act | The FCC can act against caller-ID information transmitted in a misleading or inaccurate way with intent to defraud, cause harm, or wrongfully obtain something of value. | Caller-ID spoofing is distinct from voice cloning, even though a scammer may use both. |
| State enforcement | The FCC has said state attorneys general can pursue unlawful AI-voice robocalls under the TCPA and seek damages under that law. | State laws and remedies vary; there is no basis to assume every state has an identical AI-fraud statute. |
For the FTC’s explanation of its existing authorities, see its discussion of approaches to AI-enabled voice cloning. The agency has also asked consumers to help fight impersonation scams and said it can use existing law against deceptive conduct. For the FCC’s AI-voice ruling, see its February 2024 order; for caller-ID spoofing, see its Truth in Caller ID discussion.
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How AI can make a scam more convincing
AI can help scammers imitate familiar signals and produce messages at scale. It is one tool in a broader pattern of impersonation and social engineering; scams do not require AI to be effective.
- Voice cloning: A sample of someone’s speech can be used to create a voice imitation. A caller may claim to be a relative in an emergency or an executive requesting an urgent payment.
- Personalized messages: Generative tools can help produce plausible scripts, emails, texts, or fake profiles tailored to information found online.
- Caller-ID spoofing: The name or number on a screen can be falsified. It does not prove who is calling.
- Synthetic video and images: A video or image may imitate a relative, official, executive, public figure, or financial personality.
- Chatbots and translation: Automation can make conversations more fluent and help a scammer communicate with more potential victims.
- Fabricated documents and identities: AI can assist in creating fake profiles, identification documents, or supporting materials.
S. 3495 identifies deepfakes and chatbots as tools that can expand the reach and apparent credibility of scams. The U.S. Treasury Department’s 2026 National Money Laundering Risk Assessment also describes AI use in fake social-media profiles, voice clones, identification documents, and other fraud-enabling content.
Scams to watch for—and signals not to trust by themselves
Common impersonation scenarios include a supposed grandchild needing emergency money, a manager demanding a wire transfer, a “bank representative” instructing you to move funds, a government caller threatening arrest or loss of benefits, a fake romantic partner asking for cryptocurrency, and a celebrity or financial expert promoting an investment. A cloned political candidate’s voice in a robocall is another example. A video call can also be paired with a fraudulent payment request.
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A familiar voice, face, writing style, caller ID, or video is not authentication. Treat urgency, secrecy, unusual payment methods, and requests for passwords or one-time codes as reasons to pause—not as proof that the contact is genuine. At the same time, an unusual voice can have innocent causes, including illness, disability, poor connectivity, or speech-assistance technology.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to verify an urgent request
- Stop. Do not send money, disclose passwords or one-time codes, click links, install software, or move funds while an unexpected contact is pressuring you.
- Separate. End the call or leave the message thread. Do not use the callback number, link, or contact details the sender supplied.
- Verify independently. Call a number you already know is genuine, use the organization’s official app, or find its website independently.
- Use another channel. Contact another family member or colleague, or call the bank using the number on your card or statement. A second channel can help expose an impersonation.
- Agree on a family code word. Choose a phrase in advance for genuine emergencies. Keep it private and do not post it on social media.
- Require a second approval. For unusual wires, cryptocurrency transfers, gift-card purchases, or account changes, pause and have another trusted person verify the request.
- Report suspicious contacts. Report fraud to the FTC at ReportFraud.gov. For unwanted or unlawful robocalls, consult the FCC’s reporting options. Contact local police when appropriate.
The FTC also advises people who receive a suspicious family-emergency call to contact the supposed caller using a number known to be genuine; see its voice-clone scam guidance and robocall advice.
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- Contact your bank, card issuer, wire-transfer company, payment app, or cryptocurrency exchange immediately. Ask whether the payment can be stopped, recalled, reversed, frozen, or flagged as fraud.
- From a device you believe is clean, change any compromised passwords, revoke active sessions, and enable multifactor authentication.
- Save voicemails, messages, emails and headers, payment receipts, wallet addresses, and caller-ID details. These may help your financial institution or investigators understand what happened.
- Report the incident to the FTC and, when appropriate, local police. Reporting can help connect cases, but it does not guarantee that your money will be recovered.
What a new law cannot solve on its own
A stronger rule could clarify the treatment of AI-enabled impersonation, improve coordination, and make it easier to pursue a tool provider that knowingly or foreseeably helps facilitate fraud. The bill also proposes more systematic reporting on scam patterns.
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Enforcement would still face practical constraints. Scammers may operate overseas, hide behind shell companies, spoof numbers, or route payments through intermediaries. Proving what a provider knew—or reasonably should have known—can be difficult. Federal and state rules may overlap, and detection tools can produce both false positives and false negatives.
The FTC has discussed upstream authentication, real-time detection, and post-use evaluation as possible countermeasures, while warning that no single approach solves voice cloning. Watermarks can be altered or removed, and detector results are not conclusive. Treat a detection result as a warning signal, not proof that a voice or video is authentic.
There are also legitimate uses of synthetic media, including authorized voice licensing and accessibility tools, as well as protected parody, journalism, criticism, and artistic work. The proposal’s fraud-focused language matters: the legal question is not simply whether a voice or image was generated or altered, but whether the conduct meets the relevant elements of deception, impersonation, intent, and applicable law. A real person can also carry out a scam without AI, and a robocall’s legality depends on consent, purpose, and exceptions rather than the presence of AI alone.
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