AI exposure by occupation, O*NET 13-2099.04
Will AI replace Fraud Examiners, Investigators and Analysts?
Fraud Examiners, Investigators and Analysts: AI can already handle 15 of 23 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 23 tasks O*NET 30.3 lists for Fraud Examiners, Investigators and Analysts, from most to least exposed. 15 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Gather financial documents related to investigations. | Estimated | Standard | |
| Interview witnesses or suspects and take statements. | Estimated | Efficient | |
| Document all investigative activities. | Estimated | Efficient | |
| Lead, or participate in, fraud investigation teams. | Estimated | Efficient | |
| Testify in court regarding investigation findings. | Estimated | Standard | |
| Prepare evidence for presentation in court. | Estimated | Efficient | |
| Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures. | Estimated | Standard | |
| Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts. | Estimated | Efficient | |
| Conduct field surveillance to gather case-related information. | Estimated | Efficient | |
| Obtain and serve subpoenas. | Estimated | Efficient | |
| Arrest individuals to be charged with fraud. | Estimated | Efficient | |
| Review reports of suspected fraud to determine need for further investigation. | Estimated | Efficient | |
| Evaluate business operations to identify risk areas for fraud. | Estimated | Standard | |
| Research or evaluate new technologies for use in fraud detection systems. | Estimated | Standard | |
| Advise businesses or agencies on ways to improve fraud detection. | Estimated | Frontier | |
| Coordinate investigative efforts with law enforcement officers and attorneys. | Estimated | Efficient | |
| Design, implement, or maintain fraud detection tools or procedures. | Estimated | Frontier | |
| Prepare written reports of investigation findings. | Observed | Efficient | |
| Recommend actions in fraud cases. | Observed | Standard | |
| Train others in fraud detection and prevention techniques. | Estimated | Efficient | |
| Negotiate with responsible parties to arrange for recovery of losses due to fraud. | Estimated | Standard | |
| Create and maintain logs, records, or databases of information about fraudulent activity. | Estimated | Efficient | |
| Maintain knowledge of current events and trends in such areas as money laundering and criminal tools and techniques. | Estimated | Efficient |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 23 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 21 of 23. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A standard-tier model or lower covers 92% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 132,130
- Median annual wage
- $81,100
- Middle half of earners
- $61,290 to $110,410
- Projected change, 2024 to 2034
- +3.1%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Financial Examiners 75% skill overlap, about 9 months to move Exposure61
- Detectives and Criminal Investigators 68% skill overlap, about 11 months to move Exposure33
- Private Detectives and Investigators 67% skill overlap, about 12 months to move Exposure41
- Digital Forensics Analysts 67% skill overlap, about 12 months to move Exposure61
- Intelligence Analysts 64% skill overlap, about 13 months to move Exposure69
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Fraud Examiners, Investigators and Analysts and AI
Will AI replace Fraud Examiners, Investigators and Analysts?
AI already handles 15 of the 23 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 60 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.1% from 2024 to 2034.
What is the AI exposure of Fraud Examiners, Investigators and Analysts?
60 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 2 of the 23 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 21 are estimated from each task's O*NET work activity.
Which Fraud Examiners, Investigators and Analysts tasks can AI already do?
The tasks with the highest exposure are: Gather financial documents related to investigations; Interview witnesses or suspects and take statements; Document all investigative activities. They are three of the 15 tasks that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 92% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Fraud Examiners, Investigators and Analysts, and what do they earn?
132,130 people in the United States, with a median annual wage of $81,100 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.1% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Fraud Examiners, Investigators and Analysts. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/fraud-examiners-investigators-and-analysts
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