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Fraud Examiners, Investigators and Analysts

Obtain evidence, take statements, produce reports, and testify to findings regarding resolution of fraud allegations. May coordinate fraud detection and prevention activities.

$81,100 a year (for the broader BLS group this job sits in).

now
15%

of the working time. Estimate.

Kinds of work
  • 89%
  • 10%
  • 1%
22%

Measured, from Anthropic's usage data (2025). Counts help on part of a task.

Half the desk work within reach
January 2028

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 89% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 4.4 h long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 11%. Today's estimate: 15%.

0%5%10%15%20%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 0% within reacho3, April 2025: 1% within reachGPT-5, August 2025: 1% within reachGemini 3 Pro, November 2025: 3% within reachClaude Opus 4.5, November 2025: 3% within reachGPT-5.2, December 2025: 4% within reachClaude Opus 4.6, February 2026: 4% within reachClaude Mythos Preview (early), April 2026: 11% within reachToday (estimate), September 2026: 15% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

The tasks

Sorted by . 23 tasks from .

TaskKind
Conduct in-depth investigations of suspicious financial activity, such as suspected money-laundering efforts.Done more than yearly by most who do it. 17%3.3 work days6.7 h to 2.5 work weeks0%Half by Nov 2028
Design, implement, or maintain fraud detection tools or procedures.Done more than yearly by most who do it. AI observed on this task.16%2.1 work days3.3 h to 1.7 work weeks1%Half by Sep 2028
Evaluate business operations to identify risk areas for fraud.Done more than yearly by most who do it. 14%1.7 work days3.3 h to 1 work week2%Half by Apr 2028
Analyze financial data to detect irregularities in areas such as billing trends, financial relationships, and regulatory compliance procedures.Done more than monthly by most who do it. 13%6.7 h1.7 h to 3.1 work days7%Half by Nov 2027
Prepare written reports of investigation findings.Done more than yearly by most who do it. AI observed on this task.8%5 h1.7 h to 2.5 work days14%Half by Jul 2027
Lead, or participate in, fraud investigation teams.Done more than yearly by most who do it. 8%2.5 h50 min to 1 work dayStays with people
Create and maintain logs, records, or databases of information about fraudulent activity.Done several times a day by most who do it. 6%1.3 h25 min to 6.7 h53%Half by now
Gather financial documents related to investigations.Done more than monthly by most who do it. 4%1.7 h25 min to 6.7 h43%Half by Nov 2026
Document all investigative activities.Done daily by most who do it. 3%38 min17 min to 2.5 h92%Half by now
Review reports of suspected fraud to determine need for further investigation.Done more than yearly by most who do it. 3%50 min13 min to 2.5 h79%Half by now
Recommend actions in fraud cases.Done more than monthly by most who do it. 2%1.3 h25 min to 3.3 h77%Half by now
Interview witnesses or suspects and take statements.Done more than yearly by most who do it. 0.9%1.7 h50 min to 5 hStays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Where this job works

The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.

Where the most of these jobs are

The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.