Somewhat Resilient
Last Update: 10/7/2026
AI Resilience Score for Fraud Examiner/Investigator:
46.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
AI Resilience Report forFraud Examiners, Investigators and Analysts
$81,100 median salary•9,400 annual openings•SOC Code: 13-2099.04
Fraud Examiners, Investigators and Analysts are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Fraud examining lands in "Somewhat Resilient" because AI is genuinely changing how a big chunk of the day-to-day work gets done, especially the routine parts like gathering data, reviewing transactions, and drafting reports, which machines can now handle much faster than humans. The good news is that the most important parts of the job, like interviewing suspects, making judgment calls, explaining findings in court, and spotting brand-new fraud schemes, still require a sharp human mind that AI cannot replace.
Learn more about how you can thrive in this position
This role is somewhat resilient
Fraud examining lands in "Somewhat Resilient" because AI is genuinely changing how a big chunk of the day-to-day work gets done, especially the routine parts like gathering data, reviewing transactions, and drafting reports, which machines can now handle much faster than humans. The good news is that the most important parts of the job, like interviewing suspects, making judgment calls, explaining findings in court, and spotting brand-new fraud schemes, still require a sharp human mind that AI cannot replace.
Read full analysisAnalysis of current AI resilience
Fraud Examiner/Investigator
Updated quarterly
How can Fraud Examiner/Investigator prepare for AI?
Latest AI news for Fraud Examiner/Investigator
These articles highlight how AI is revolutionizing fraud detection, offering valuable insights for aspiring fraud examiners, investigators, and analysts. For instance, the piece on financial transactions illustrates how AI systems learn from data to identify fraudulent patterns, enhancing detection efficiency. Similarly, the analysis of AI in healthcare claims processing shows a shift towards proactive fraud prevention, reducing losses. By understanding these advancements, students can position themselves as resilient professionals, ready to leverage AI tools to combat fraud effectively in their future careers.
How AI Is Transforming Fraud Detection in Financial Transactions
www.computer.org • 11/24/2025
Artificial intelligence is reshaping how financial institutions combat fraud. Instead of relying on static rules, modern systems learn...
The Healthcare Payer’s Algorithm — VI : AI-Powered Fraud, Waste, and Abuse (FWA) Detection
medium.com • 8/5/2025
Moving beyond reactive “pay-and-chase” methods to a sophisticated pre-payment prevention model, this analysis details how anomaly detection...
The Healthcare Payer’s Algorithm — III : AI in Health Payer Claims Processing
medium.com • 8/1/2025
Detailing the AI-powered “touchless” claims paradigm, from pushing auto-adjudication rates beyond legacy thresholds to implementing...
The impact of AI on the workforce
aimagazine.com • 12/4/2023
Despite the rise in automation and increasing adoption of AI, human involvement remains crucial in fighting financial crime.
Beating the Synthetic Identity Fraudsters: Machine Learning Vs. Automated Fraud
www.thetechpanda.com • 3/17/2021
This Boston, US, based cyber fraud detection company combines Machine Learning (ML) software, which looks for suspicious patterns,...
More Career Info
Career: Fraud Examiners, Investigators and Analysts
They find and stop dishonest activities by examining financial records, spotting suspicious patterns, and figuring out who is involved.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$81,100
Jobs (2025)
137,800
Growth (2025-35)
+4.1%
Annual Openings
9,400
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Arrest individuals to be charged with fraud.
2
Testify in court regarding investigation findings.
3
Obtain and serve subpoenas.
4
Negotiate with responsible parties to arrange for recovery of losses due to fraud.
5
Lead, or participate in, fraud investigation teams.
6
Interview witnesses or suspects and take statements.
7
Conduct field surveillance to gather case-related information.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
