People who never applied for college may discover that someone used their identity to do so—and that federal student aid was issued in their name. The Department of Justice says a scheme involving fake students used stolen personal information and AI to obtain aid, with refunds flowing to accounts controlled by fraudsters.
How a ghost student scheme works
According to federal officials, fraudsters first obtain personally identifiable information belonging to Americans. Targets have often been high school graduates who went directly into the workforce and never attended college, making the applications less likely to be cross-checked against a history of college enrollment.
The stolen information is then used to complete the Free Application for Federal Student Aid, or FAFSA, and seek enrollment at universities or community colleges. If aid is awarded, the school receives money for tuition and fees first. Any remaining funds can be sent as a refund to a bank account controlled by the fraudsters.
Some Americans have allegedly opened accounts to serve as money mules. The DOJ said dozens of people did so, helping move funds on behalf of the scheme.
AI is reported to help keep the false enrollment active. It can be used to complete applications and coursework, and to create the appearance that a student is attending virtual sessions. That can make an invented student look engaged enough to remain enrolled and continue receiving aid over multiple semesters.
The investigation’s scale and its consequences
The Department of Education has identified over 830,000 potentially fraudulent federal student aid accounts created with stolen personal information. Officials said that if all those accounts are fraudulent, losses could approach $130 million. In connection with the five individuals charged, officials identified more than $32 million in actual losses and said they believe the total is substantially higher.
Investigators traced funds through US and foreign bank accounts and cryptocurrency wallets. In one case described by the DOJ, a defendant used multiple bank accounts at several financial institutions to receive over 700 fraudulent federal student aid refund deposits, totaling approximately $1,439,548. Another person received more than $1 million linked to more than 300 fraudulent student accounts.
For people whose identities are used, the problem may surface long after the application. They may not know about the enrollment until the government seeks repayment, and their credit can be damaged in the meantime. Once they discover the fraud, they must work through demands tied to loans they did not knowingly take out.
The DOJ’s Office of Inspector General detected patterns that helped reveal the alleged scheme. The FBI then worked to determine how many accounts were affected and follow the money. Officials said data analysis found suspicious behavior consistent with coordinated fraud involving FAFSA, and referrals were sent to FBI field offices to pursue the cases.
Fraud checks can create barriers
Federal officials say the scheme may have been operating since at least 2021 and grew more sophisticated as AI opened additional ways to maintain fake enrollments. The administration says it introduced online identity verification and automated checks intended to catch suspicious applications before funds are paid.
Under the verification process described in the source, students use the online FAFSA portal and hold a government-issued ID up to a camera for automated review. Officials say the systems are similar to those used by financial services companies. But a screening system can also flag legitimate applicants, and advocates warn that extra identity checks may delay aid while schools review cases.
That burden may fall hardest on students who face obstacles getting or presenting the required identification. Advocates also worry that colleges could add fees to deter ghost student fraud, potentially making higher education less accessible to low-income students. Preventing theft matters to real students who depend on aid, but the way prevention is carried out can affect their ability to receive it.
Detection is not a guarantee
Automated tools can help identify patterns across many applications, but they are not infallible. A technical issue from June 29 to July 6 prevented fraud evaluation results from reaching certain FAFSA forms; the Department of Education later reprocessed the affected applications.
The cases therefore present two connected challenges: stopping people from using stolen identities to divert student aid, and making sure safeguards do not wrongly slow down real students. The investigation shows how data analysis can help uncover coordinated activity, while the reported glitch and concerns about false flags show why those systems still need careful oversight.