Will AI replace Fraud Examiners, Investigators and Analysts?
AI reaches a large part of this job’s work.
54/100
High exposure
More exposed to AI than 85% of US workers.
- AI already used in
- 9% of the work
- As AI tools mature: up to
- 88% of the work
What the job involves
Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(2)
- Prepare written reports of investigation findings.
- Design, implement, or maintain fraud detection tools or procedures.
Within reach(17)
- Document all investigative activities.
- Create and maintain logs, records, or databases of information about fraudulent activity.
- Interview witnesses or suspects and take statements.
- Gather financial documents related to investigations.
- Review reports of suspected fraud to determine need for further investigation.
and 12 more
Out of reach(4)
- Testify in court regarding investigation findings.
- Conduct field surveillance to gather case-related information.
- Obtain and serve subpoenas.
- Arrest individuals to be charged with fraud.
Also called
Fraud Analyst · Fraud Investigator · Anti-Fraud Operations Analyst · Casino Gaming Regulator · Certified Fraud Examiner (CFE) · Confidential Investigator · Financial Crimes Investigator · Financial Investigator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics