New York warns AI deepfakes are accelerating crypto investment scams
The state cited FTC-tracked data showing 144,041 reports and more than $8B in 2025 losses, up 38% year over year.
New York’s Division of Consumer Protection issued an AI investment scam warning on Aug. 26, tying AI-generated impersonation to a jump in reported investment-scam losses in 2025. Officials cited FTC-tracked data showing 144,041 consumers reported losing more than $8 billion, up 38% from 2024, with a median reported loss of $10,560.
New York Puts AI Deepfakes at the Center of the 2025 Scam Surge
New York’s consumer protection officials are putting AI-generated impersonation at the center of what they describe as the costliest fraud category tracked by the Federal Trade Commission in 2025: investment scams. In a warning issued Aug. 26, the state’s Division of Consumer Protection pointed to FTC-tracked figures showing 144,041 consumers reported losing more than $8 billion to investment scams in 2025, a 38% increase from 2024.
The warning is explicitly crypto-adjacent. Officials described scammers using AI to clone voices and fabricate videos, then pairing those deepfakes with polished social media ads that promote fake crypto investments and fake trading platforms. The pitch is not limited to tokens either. The FTC’s April consumer alert described 2025 investment-scam losses as more than $7.9 billion and listed cryptocurrency alongside stocks and forex among the “investments” scammers push through fake coaching offers.
The median loss figure is the part that should land with retail participants. New York’s warning put the median reported loss at $10,560 for 2025, while the FTC’s April alert described the median as above $10,000. That is a profile consistent with repeat deposits, not a single mistaken transfer.
New York Secretary of State Walter T. Mosley framed the warning as a realism problem created by generative tools: “New Yorkers need to be vigilant against scammers, who may be able to create increasingly sophisticated and realistic messaging using AI technology or other means to steal your hard-earned money. If it seems too good to be true, it probably is.”
The Playbook: Fake Crypto Platforms, Fabricated Balances, and ‘Release Fees’
The mechanism described by officials is a trust funnel that uses software polish as a substitute for legitimacy. AI-generated audio and video are used to impersonate financial figures or recognizable promoters, and the victim is routed into a “platform” that looks like a trading venue but is effectively a controlled dashboard.
Once the victim is inside the app or website, the scam leans on fabricated balances, returns, and trading activity. New York officials said victims may see professional-looking applications that display profits and account growth, creating the illusion that the strategy works and the operator is real.
The next step is designed to remove the natural skepticism that comes with sending larger sums. Some operators allow small initial withdrawals to establish credibility, then press targets to deposit more. When a victim tries to pull out meaningful funds, the playbook shifts to friction: additional deposits framed as taxes, verification charges, or “release fees.” New York’s alert told consumers never to pay additional fees to release funds.
The state’s guidance is basic, but it maps cleanly to where these scams break in practice. Officials advised consumers to confirm the identity of any promoter, verify the company and the investment, and establish where their money will go before transferring funds. They also flagged familiar crypto scam tells, including guaranteed high returns, unsolicited investment offers, high-pressure sales tactics, and projects lacking clear documentation.
For reporting, New York officials pointed victims to the FTC, the FBI’s Internet Crime Complaint Center (IC3), the SEC, or the New York Attorney General. IC3 is the FBI’s online portal for reporting internet-enabled crimes, including crypto-related fraud.
What Traders Should Monitor as Deepfake Scams Scale
The first near-term signal is whether officials reconcile the two close-but-not-identical 2025 loss totals that are now circulating in official messaging: “more than $8 billion” in the New York warning versus “more than $7.9 billion” in the FTC’s April consumer alert. The difference is small in percentage terms, but it matters for methodology and for how aggressively platforms and regulators treat the category.
The second is enforcement follow-through. The packet references an April warning from New York Attorney General Letitia James describing deepfake celebrity endorsements, fraudulent cryptocurrencies, pump-and-dump schemes, and fake trading platforms promoted across Facebook, Instagram, and Whatsapp. Any subsequent actions tied to deepfake endorsements or fake trading apps would clarify whether New York is moving from consumer guidance to case-building.
The third is platform policy. New York’s warning describes scams that start through social media, dating apps, text messages, emails, online advertisements, or apparently friendly conversations. If major ad channels tighten verification for financial ads or identity checks for promoters, that changes the top of the funnel. If they do not, the economics of these scams stay intact.
Finally, watch the scam UX itself. Officials highlighted fabricated-balance dashboards and the “release fee” demand as repeatable tactics. If those evolve into more sophisticated account simulations or new fee variants, the fraud is adapting faster than the warnings.
My Take: This Is a Trust Shock, Not a One-Off Headline
The part that decides this story isn’t the headline number. It’s the mechanism New York described: AI-generated impersonation gets the victim to the door, and a fake trading platform with fabricated balances keeps them inside long enough to escalate deposits and introduce “release fees.” That is a repeatable funnel, and the median loss figures above $10,000 are consistent with it.
The threshold that matters is whether enforcement and platform policy start treating deepfake financial promotion as an infrastructure problem rather than a user-education problem. If identity verification and ad-channel controls tighten in the same places scammers are sourcing leads, the scam economics get worse. If not, AI just keeps lowering the cost of believable fraud, and the losses stay a volume business.
