Three plead guilty in $9 million romance fraud targeting older Americans
The trio used AI video and fake profiles to extract money from over 130 victims across 25 states and Europe.
By Katherine Diallo ·

More than $9 million was taken from over 130 victims in a romance fraud scheme that ended with three guilty pleas on Monday.
The US attorney’s office in the northern district of Ohio announced that twin brothers from Ghana and a woman from Hawaii admitted to conspiracy to commit wire fraud. Jamal Abubakari and Kamal Abubakari, both 22, and Amanda Joy Opoku-Boachie, 53, of Kula, Hawaii, targeted older Americans on dating websites and social media from July 2024 to April 2026.
The group operated in 25 US states, Germany, and Austria. Court documents state the trio used artificial intelligence-driven video platforms to maintain fictitious female personas. They built close, often romantic relationships with victims before requesting wire transfers. The money was sent to bank accounts controlled by the conspirators. Portions of the funds were then distributed to co-conspirators in Ghana and other locations.
The defendants told victims they needed the cash for medical emergencies, investment opportunities, or travel expenses to visit them in person. Prosecutors noted that victims were left with little to sustain their lives after a lifetime of work and saving. The documents also highlighted the emotional toll, stating victims felt ashamed and deprived of trust in others.
As part of the plea agreement, the three agreed to forfeit jewelry seized during their arrests. The items included luxury timepieces, high-end watches, rings, chains, medallions, and earrings. The maximum penalty for the offense is 20 years in prison.
Sentencing is scheduled for February 9, 2027, for the brothers and February 10, 2027, for Opoku-Boachie. Other co-conspirators remain in Ghana while awaiting extradition. Investigators seized assets in that country estimated to be worth more than $3 million. The haul includes a Lamborghini, a Tesla Cybertruck, a Mercedes-Benz, and a BMW.
Source: The Guardian





