The relationship felt real. The voice on the screen, the steady messages, the slowly built trust — all of it convincing enough that more than 130 older Americans collectively wired away over $15 million. According to federal prosecutors, none of the people they fell for existed. The personas were built and operated by a Ghana-based fraud network, increasingly with the help of artificial intelligence.
The case, prosecuted by the U.S. Attorney’s Office for the Northern District of Ohio and investigated by the FBI’s Cleveland Division, was a centerpiece of the Justice Department’s fraud announcements in Columbus this week — the same rollout that introduced the FBI’s new Most Wanted Fraudsters list and a sweeping federal-state partnership against fraud.
The Defendants
Among those charged are twin brothers from Ghana — Jamal Abubakari and Kamal Abubakari, both 22 — and Amanda Joy Opoku-Boachie, 53, of Virginia, who allegedly helped move money inside the United States. All three were ordered detained. Two additional Ghanaian defendants, both 31, are awaiting extradition.
The charges: conspiracy to commit wire fraud and conspiracy to commit money laundering.
They are not the first to face consequences in this network. Nine defendants in related cases have already pleaded guilty, drawing roughly 50 years in combined prison time, with individual sentences ranging from 51 to 108 months. The pattern of guilty pleas suggests prosecutors have built the case methodically, working through the network’s US-based money movers toward the operators overseas.
How the Scheme Worked
From about July 2024 to April 2026, prosecutors say, the defendants targeted older Americans on dating websites and social media platforms. They used fake personas to establish close personal relationships — usually romantic — and, after weeks or months of fabricated intimacy and invented hardship stories, persuaded their victims to send money by wire transfer to accounts the conspiracy controlled.
From there, the money was layered and moved: portions funneled to co-conspirators in Ghana and elsewhere, the classic structure of a romance-fraud laundering operation in which the “girlfriend” or “boyfriend” the victim believes they are helping is a front for a network of accounts and couriers.
What sets this case apart from a decade of romance-scam prosecutions is the tooling. According to the indictment, the perpetrators used artificial intelligence software to assume false identities and sustain those relationships — the same trend the FBI flagged in its first-ever AI-fraud tracking, which logged $893 million in AI-facilitated losses in a single year.
Why AI Changes the Math
For years, the romance scammer’s biggest weakness was the live interaction. A victim who asked for a video call, or who heard an accent that didn’t match the photo, could break the spell. AI erodes those checks one by one.
Real-time face-swap tools let an operator appear as the person in the stolen photos during a video call. Voice tools can generate speech in a consistent voice. Language models draft the daily messages — fluent, contextually aware, emotionally responsive — across dozens of victims at once, removing the grammatical tells that once gave overseas operators away. The result is that the verification steps people are told to rely on (“ask for a video call,” “watch for odd phrasing”) no longer reliably expose the fraud.
That is why this $15 million is not an outlier. It is a preview.
Elder Fraud Is the Target for a Reason
Older Americans are deliberately chosen. They are more likely to have retirement savings and home equity, more likely to be socially isolated, and — for a generation that came of age before the internet — less primed to assume that a warm, attentive correspondent could be a complete fabrication. The FTC has reported that adults over 60 lose billions of dollars a year to fraud, with romance scams among the most financially devastating per victim because the losses accumulate slowly over months of manufactured trust.
Protecting the People You Love
Romance fraud is hard to self-diagnose precisely because the victim is emotionally invested. The intervention usually has to come from family — which means having the conversation before the money moves.
Talk to older relatives about online relationships directly and without judgment. The shame surrounding these scams keeps victims silent. Make it clear they can tell you about an online relationship without being mocked.
Treat “we’ve never met in person” plus “they need money” as the defining red flag. No legitimate partner you have never met in real life will need you to wire funds, buy gift cards, or forward a package. The reasons will sound urgent and sympathetic. The pattern is the scam.
Don’t trust a video call as proof anymore. Real-time deepfakes make a face on a screen unreliable. Insisting on an in-person meeting — and watching for the endless stream of excuses why it can’t happen — is now more revealing than any video.
Watch the bank account, with permission. Sudden wire transfers, new “investment” platforms, or repeated gift-card purchases are often the first externally visible sign.
Report it — the case isn’t hopeless. File with the FBI at ic3.gov and the FTC at reportfraud.ftc.gov. As the Ohio prosecutions show, these networks can be unwound, and victim reports are what make that possible.
The Abubakari brothers and their co-defendants will have their day in court. But the technology they allegedly used is already in wide circulation — and the next network is building its personas right now.
