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AI is making a familiar investment con easier to operate, not making every scammer a software engineer. In a pig-butchering scam, a stranger first creates a relationship through a wrong number text, dating app, social media account, or another messaging channel. After days or weeks of conversation, that person recommends an investment—often cryptocurrency, an AI-based trading program, fixed-time trades, quantitative trading, or gold futures—and directs the target to a platform controlled by the criminals.
The platform can show convincing charts, account balances, and profits that do not exist. A small early withdrawal may be approved to establish credibility; larger withdrawals are then blocked, followed by demands for supposed taxes or fees. A documented operation also used generative models to write and translate public comments, affectionate messages, investment persuasion, and transfer instructions. That case demonstrates AI-assisted social engineering, but it does not prove that most pig-butchering groups use AI, that they build their own AI systems, or that AI caused scam revenue to rise.
What pig butchering means
Pig butchering is confidence-based investment fraud. The name describes the criminals’ strategy of cultivating a target before trying to extract as much money as possible. The Federal Bureau of Investigation (FBI) categorizes these cases as cryptocurrency investment fraud, while the Commodity Futures Trading Commission (CFTC) identifies wrong-number texts, dating apps, and social platforms as common contact routes.
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The first message is often deliberately ordinary: a supposed misdirected text, a comment on a social post, or a friendly introduction on a dating app. The sender may claim to be traveling, have a shared interest, or need help reaching someone. The initial objective is not to sell an investment. It is to establish a channel where the target will continue replying.
2. Conversation becomes confidence
Once contact is established, the person may communicate every day, discuss family or work, and present a carefully selected personal story. A romantic relationship is one version, but the relationship can also look like a friendship or informal mentorship. This stage is important because an investment recommendation from someone the target trusts feels different from an advertisement or cold call.
3. A profitable opportunity is introduced
The pitch is usually framed as expertise the contact can share. The FBI lists cryptocurrency trading, AI-based trading programs, fixed-time trades, quantitative trading, and gold futures among the approaches used in reported fraud. The presence of the word “AI” is not evidence that an underlying trading system is real, regulated, or profitable. It is often a marketing label used to make the offer sound technical and exclusive.
4. Deposits move to criminal-controlled infrastructure
The target is directed to an application, website, wallet, or exchange account selected by the contact. It may resemble a legitimate brokerage or trading service and may provide support through chat. The money, however, can be routed to wallets or accounts controlled by the fraud group. At this point, the relationship and the technology reinforce each other: the trusted person tells the target what to do, while the platform displays apparent evidence that the strategy is working.
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How a fake investment platform manufactures confidence
A scam platform does not need to execute trades to look successful. It can update a database that feeds a balance page, draw an upward chart, and label entries as completed transactions. The FBI warns that reported applications and websites can show false balances and returns.
The small-withdrawal trick
Some victims are allowed to withdraw a modest amount after their first deposit. That payment is a calculated cost of acquiring trust. It can persuade the victim to deposit more, borrow money, or encourage a friend to join. The fact that one withdrawal succeeded does not establish that the platform is legitimate or that later withdrawals will work.
The lockout and fee cycle
When a victim requests a larger withdrawal, the operator may claim that additional money is required for taxes, account verification, liquidity, or an administrative fee. Paying one demand commonly produces another. The FBI advises against sending additional funds to release supposed profits. A screen showing a seven-figure balance is not proof that any money is available.
Why technical language is persuasive
Terms such as algorithmic execution, quantitative signals, liquidity pools, and artificial intelligence can make a fabricated service difficult for a non-specialist to challenge. A legitimate-sounding dashboard also shifts attention away from the basic question: who legally holds the funds, and can that organization be independently verified? Technical vocabulary is decoration unless the provider, registration, custody arrangements, and withdrawal process withstand independent checks.
What AI has been observed doing
OpenAI described one romance-baiting operation in which scammers used its models to generate or translate public comments and private messages. The described workflow included conversational and affectionate exchanges, investment persuasion, movement to other messaging services, and instructions connected with transfers to a trading application.
AI-assisted writing and translation
Generative models can help an operator produce many variations of a message, maintain a consistent tone, and communicate in languages the operator does not speak. They can also draft replies to objections, adjust a script for a particular target, or translate a public comment before the conversation moves to a private channel. These capabilities reduce the time needed to manage many conversations and can make a script sound less repetitive.
What that case does not establish
OpenAI said it could not determine whether the transactions mentioned in the conversations were completed. The account is therefore an observed case of AI-assisted activity, not a measurement of how common the practice is or how much money it produced. It also does not show that the operators developed their own model, built a trading system, or automated every part of the fraud.
Human work remains central
Even when a model drafts text, people still choose targets, create identities, move victims between services, operate websites, receive funds, and decide when to apply pressure. AI can speed up communication, but the scam remains an organized process combining social engineering, payment infrastructure, and deception.
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How large is the problem?
Different figures describe different things. They should not be added together or presented as a single loss total.
| Measure | Figure | Publisher and date | What it means |
|---|---|---|---|
| Cryptocurrency scam receipts recorded on-chain | At least $9.9 billion in 2024 | Chainalysis, February 13, 2025 | An estimate covering cryptocurrency scams broadly, not pig-butchering alone. Chainalysis said the amount could rise as additional illicit addresses were identified. |
| Potential victims notified through Operation Level Up | More than 4,300 by January 2025 | FBI, 2025 | People contacted by the FBI in an intervention effort; it is not a count of all victims worldwide. |
| Estimated money saved through Operation Level Up | $285 million by January 2025 | FBI, 2025 | An estimate associated with the FBI intervention, not recovered money from every cryptocurrency fraud case. |
| U.S. cryptocurrency-related investment-fraud losses | $3.9 billion in 2023 | FBI/Internet Crime Complaint Center, reported by the FBI | A U.S. reporting figure for investment fraud involving cryptocurrency, not a pig-butchering-only or global number. |
| Estimated pig-butchering revenue growth | Nearly 40% year over year | Chainalysis report on 2024 activity, published 2025 | Chainalysis’s estimate. It does not demonstrate that AI caused the increase. |
These measurements also differ in method. Blockchain receipts are estimated from identified addresses and transactions; an FBI intervention count records people the agency reached; complaint totals depend on victims reporting to authorities. Under-reporting, delayed identification of wallets, and cross-border activity mean none of the figures is a complete census.
Red flags in a conversation or platform
- An unexpected message quickly becomes a friendship, romance, or mentorship.
- The contact claims unusually consistent investment profits or insists that an opportunity is secret or available only to a small group.
- You are told to use an app or website that the contact selected, rather than an independently verified, regulated provider.
- The service advertises AI-based trading programs but gives no verifiable information about the legal entity, custody of funds, registration, or audit.
- The displayed balance rises while deposits, not independently confirmed trades, explain the account activity.
- A small withdrawal succeeds and is then used to justify a much larger deposit.
- A withdrawal is blocked until you pay a tax, fee, insurance charge, or additional deposit.
- The person discourages you from consulting family, a licensed adviser, your bank, or an official regulator.
- You are asked to move the conversation to another messaging service and to keep the investment private.
No single sign proves fraud. Several of these features together—especially an online-only relationship paired with pressure to transfer cryptocurrency—should be treated as a stop signal.
What should I do if I think I’m being scammed?
Act before trying to persuade the contact or recover a supposed profit. Further conversation gives the operator more information to exploit, and another payment can increase the loss.
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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Repair Windows errors before they cause bigger problemsFix Now →- Stop sending money. Do not pay a withdrawal fee, tax, verification charge, or “recovery” deposit. Do not borrow to meet a deadline set by the contact.
- Preserve evidence. Save messages, profile links, email headers, phone numbers, wallet addresses, transaction hashes, receipts, screenshots of balances, and the names of every app or website used. Record dates, amounts, cryptocurrency types, and the payment route.
- Contact the payment provider quickly. Ask your bank, card issuer, cryptocurrency exchange, or wallet provider whether a transfer can be stopped, recalled, or flagged. Do not assume a completed blockchain transaction can be reversed, but speed can matter for accounts and fiat transfers.
- Report to the FBI’s Internet Crime Complaint Center. Include the available contact details, websites or applications, transaction dates, amounts, cryptocurrency types, wallet addresses, and transaction hashes. A report can help connect related complaints even when it does not guarantee recovery.
- Secure your accounts. Change reused passwords, enable multifactor authentication, revoke suspicious application access, and check email-forwarding rules. If you shared identity documents, monitor accounts and consider appropriate identity-theft precautions.
- Ignore paid recovery promises. The FBI warns that people who offer to recover lost cryptocurrency for an upfront fee may be running a second scam. Legitimate investigators do not guarantee recovery in exchange for a private payment.
- Tell someone you trust. Shame and secrecy are tools of the scheme. A second person can help review messages, stop further transfers, and identify additional accounts that need protection.
How to evaluate claims about AI and scams
Ask what the evidence actually measures before accepting a headline about an AI-driven crime wave.
| Evidence type | Example in this case | Safe conclusion |
|---|---|---|
| Observed operation | OpenAI’s account of models used for comments, conversation, translation, persuasion, and transfer-related messages | At least one operation used AI-assisted communications. The account does not establish completed transfers, prevalence, or profitability. |
| Government intervention data | FBI Operation Level Up notifications and estimated savings | The FBI reached thousands of potential victims and estimated money saved in that operation. It is not a global victim count. |
| Blockchain analytics estimate | Chainalysis’s on-chain scam receipts and estimated year-over-year growth | Identified cryptocurrency scam activity was substantial and estimated to have grown. The figure is not pig-butchering-only revenue and does not identify a cause. |
| Victim report | A complaint describing a fake balance or blocked withdrawal | The account may support an investigation, but one report cannot establish how common a tactic is. |
The available evidence does not establish what proportion of pig-butchering operations use generative AI, whether AI raises a group’s success rate, or how much of any revenue growth AI caused. Those are open questions, not facts that can be inferred from one documented operation or an aggregate blockchain estimate.
Why scammers are becoming developers—carefully defined
The “developers” framing is useful only if it refers to the infrastructure and workflows criminals assemble. A group can combine a cloned or custom website, a mobile application, messaging accounts, cryptocurrency wallets, scripts, translation tools, and a support desk. It may modify a dashboard or connect services without creating a new AI model or a sophisticated trading engine.
That distinction changes how a reader should respond. The danger is not that every friendly texter is secretly an AI researcher. The danger is that low-cost software lets a small team present a polished investment operation, communicate at scale, and change scripts quickly when a target hesitates. The trust-building remains human-directed, while the visible technology supplies false proof.
Official advice therefore focuses on verification and behavior rather than on detecting a particular model. Do not invest on the advice of someone met solely online. Independently verify unfamiliar opportunities and applications. Treat guaranteed or unusually consistent returns as a warning. Once you suspect a scheme, stop transfers, preserve evidence, and report through the appropriate channel.
A practical decision rule
If an online-only acquaintance asks you to move money into an investment platform, pause before opening the link or installing the application. Verify the company through an independently located official register, confirm who legally holds customer funds, and seek advice from someone who has no connection to the contact. If the person uses urgency, secrecy, AI jargon, or a promise that a fee will unlock profits, end the transfer rather than trying to negotiate.
The central test is simple: trust should never substitute for verifiable custody and withdrawal rights. A warm conversation, a professional dashboard, an initial successful withdrawal, and an AI label can all be manufactured. None proves that the balance on the screen represents real money.
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