The data behind the crisis: how much job scams cost, which platforms are most targeted, who is most at risk, and how AI is accelerating the problem.
By JobScamScore Research Team · Published · Last updated · Sources: FTC, BBB, FBI IC3
$500M+
Consumer losses to job scams in 2023
The FTC's most recent full-year data. Actual losses are estimated to be significantly higher — fewer than 10% of fraud victims report to a federal agency.
Source: FTC Consumer Sentinel Network →$1,500
Median individual loss per job scam
The median loss masks a wide range: fake check victims typically lose $2,000–$4,000; advance fee placement scams can cost $3,000–$10,000.
Source: BBB Scam Tracker →1 in 3
Job scam victims who lost money
Unlike many fraud categories, job scams have a high "monetisation" rate — scammers successfully extract money or identity information from a large proportion of those they target.
Source: BBB Scam Tracker →20–40%
Estimated share of job postings that are ghost jobs
Ghost jobs waste job seekers' time without financial harm, but create conditions where trust in job boards erodes — making it easier for outright scams to go undetected.
Source: Resume Builder survey, 2023; industry analysis →Top 10
Job scams rank among the FTC's top 10 fraud categories
Job and employment fraud has consistently ranked among the top fraud types by reported loss since 2020, with the rate of AI-assisted fraud accelerating from 2024 onward.
Source: FTC Consumer Sentinel Network Data Book →Emerging
AI-generated content flagged as a growing vector in employment fraud
The FBI IC3 has flagged AI-generated content — including fake company websites, synthetic recruiter profiles, and deepfake video interviews — as an emerging and accelerating vector in employment and identity fraud. Cybersecurity researchers and fraud monitoring services have documented significant increases in AI-assisted fake job creation since LLM tools became widely accessible in late 2023.
Source: FBI Internet Crime Complaint Center (IC3) →All major job boards and professional networks carry some volume of fake postings. Risk profiles differ significantly by platform, scam type, and how aggressively the platform enforces listing policies.
| Platform | Primary Risk | Most Common Scam Type |
|---|---|---|
| High — direct recruiter DMs bypass listing review | Fake recruiter / advance fee / identity harvest | |
| Indeed | High — open submission allows fraudulent listings | Ghost jobs / fake companies / task scams |
| ZipRecruiter | Medium — automated cross-posting spreads fakes | Reshipping / fake check / task-based |
| WhatsApp / Telegram | Very High — no listing verification at all | Task scams / investment fraud / advance fee |
| Facebook / Marketplace | High — minimal employer verification | Reshipping / fake check / identity harvest |
The widespread availability of large language models (LLMs) since late 2023 has qualitatively changed the job scam landscape. Prior to 2024, most job scams were detectable by poor grammar, generic copy, or recognisably copied text. In 2025–2026, these indicators have become unreliable.
According to the FTC Consumer Sentinel Network, consumers reported losing over $500 million to job and employment scams in 2023 — the most recent year with full reported data. This is widely considered a significant undercount, as the FTC estimates fewer than 10% of fraud victims report to a federal agency.
The BBB Scam Tracker found a median individual loss of approximately $1,500. This varies widely: fake check schemes typically cost $2,000–$4,000; advance fee placement scams can cost $3,000–$10,000; identity theft via fake onboarding can result in thousands in fraudulent charges and months of credit remediation.
Industry estimates suggest 20–40% of postings on major platforms are either ghost jobs (companies with no active hiring) or outright fakes. A 2023 Resume Builder survey found 37% of companies admitted to posting ghost jobs. AI-generated fake postings have surged significantly since 2024.
Higher-risk groups include: job seekers aged 18–34 (most platform-active, more likely to accept unsolicited DMs); people actively job searching (heightened engagement with any opportunity); remote work seekers (broader, less-verifiable employer pool); and international job seekers targeted by advance-fee placement scams.
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