Americans lost $501 million to job and employment agency scams in 2024, a nearly sixfold increase from $90 million in 2020, according to new Federal Trade Commission data. The surge was driven largely by text-message pitches offering simple “task” work from home, and it arrived alongside a broader explosion in fraud losses that hit $12.5 billion across all categories last year. Reports of job scams tripled over the same four-year span, and the FBI warned that the schemes increasingly funnel victims’ money through cryptocurrency accounts before disappearing.
A $501 million problem built on text messages and crypto
The FTC’s March 2025 release on reported fraud losses totaling $12.5 billion placed job and employment agency scams among the fastest-growing subcategories in its Consumer Sentinel Network. Losses in that subcategory climbed from $90 million in 2020 to $501 million in 2024, while the number of individual reports tripled over the same period. Those figures reflect only what consumers chose to report through channels like ReportFraud.ftc.gov and DoNotCall.gov, so actual losses are almost certainly higher.
Text messages have become a primary delivery vehicle for these offers. In an April 2025 update on text-based scams, the FTC pegged overall losses from scams initiated by text at $470 million in 2024. Bogus job offers ranked among the top text scam types. The typical pitch arrives unsolicited and appears to be from a recruiter, staffing agency, or well-known brand. It promises pay for rating products, clicking links, or completing other low-effort digital tasks, sometimes framed as “helping train AI” or “boosting engagement” for online stores.
Once a target responds, the interaction often moves to encrypted messaging apps. Scammers assign repetitive online tasks and show the victim a slick dashboard that appears to track growing earnings. But when the victim tries to withdraw, the scammers demand upfront “taxes,” “service fees,” or “account upgrades,” frequently insisting that those payments be made in cryptocurrency. Each time the victim pays, new obstacles appear. Eventually, the dashboard freezes, the contacts vanish, and the funds-both the supposed earnings and the victim’s deposits-are gone.
The FBI’s Internet Crime Complaint Center highlighted this pattern in a June 2024 public service announcement, describing how criminals use messaging apps and texts to lure people into task-based “job” schemes, then route payments through crypto exchanges and self-custody wallets. The design exploits the speed and irreversibility of blockchain transfers: once the money moves, there is usually no bank, card network, or platform that can claw it back. For victims, the experience can feel less like a single scam and more like a weeks-long job that slowly morphs into financial extortion.
FTC and FBI data confirm the scale, but gaps remain
The Consumer Sentinel Network Data Book 2024 provides the statistical backbone for these numbers, including category definitions, loss tables, and contact-method breakdowns. The Data Book classifies how consumers were first contacted-by text, email, phone call, or social media-and tracks payment methods such as wire transfer, gift card, bank transfer, and cryptocurrency. That structure makes it possible to see, for example, that text is now one of the most common ways scammers reach people, and that crypto continues to feature prominently in large-dollar fraud.
But the published press releases and summary tables do not cross-tabulate these dimensions in a way that isolates, for instance, the exact dollar amount lost to text-initiated job scams that were ultimately paid in cryptocurrency versus those paid by other means. The same limitation applies to geographic patterns: while state-level dashboards show where fraud reports originate, they do not publicly link that location data to specific combinations of job-related narratives, text outreach, and crypto payments.
That missing slice matters. If task-based job scams routed through cryptocurrency are growing faster than non-crypto employment fraud, it would suggest that crypto’s speed and global reach are not just incidental to the scheme but central to its profitability. It would also help regulators and platforms prioritize interventions, such as tightening know-your-customer checks around exchanges that frequently receive funds from newly recruited “workers” or improving scam warnings in wallet apps when users attempt to send large first-time transfers.
The FTC’s Explore Data dashboards allow some custom queries by state, contact method, and payment type, but no published agency analysis has yet combined all three filters for job scams specifically. Until that breakdown appears, policymakers and researchers must infer the role of crypto from broader fraud trends and case-level anecdotes rather than a clean, public dataset. The FBI’s complaint statistics face similar constraints, with narrative descriptions pointing to text and messaging apps as a growing recruitment tool, but without a dedicated table quantifying the overlap between job narratives and crypto payments.
For job seekers, the implications are immediate. Any unsolicited offer that arrives by text, asks you to move quickly to a messaging app, and requires you to deposit your own funds-or cryptocurrency-to “unlock” earnings is almost certainly a scam. For regulators, the challenge is to keep pushing for more granular, public data that connects how scammers reach people, what stories they tell, and how the money ultimately moves. Only then will the picture of America’s $501 million job-scam problem, and crypto’s role in it, come fully into focus.
David M. Keller is a finance writer based in Columbus, Ohio, covering personal finance and consumer-focused economic topics. He earned his degree in journalism from Ohio University and began his career reporting on local business and economic trends for a regional media outlet. Since then, he has contributed to a variety of online publications, focusing on clear, practical coverage of topics such as cost of living, debt, and everyday financial decision-making.
