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STRATUSWORKFORCE SCAN

Private Detectives and Investigators

In short: today's best AI models could do about 33% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 69% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 30% of the time, stays with people.

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Gather, analyze, compile, and report information regarding individuals or organizations to clients, or detect occurrences of unlawful acts or infractions of rules in private establishment.

35,580 people do this job in the US. $51,220 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on13 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet15 h
  • Stays with people12 h

Private Detectives and Investigators, now: of a 40-hour week, AI could take on 13 hours, 0 hours become checking its work, 15 hours are desk work it can't do yet, and 12 hours stay with people.

The largest pieces: Write reports or case summaries to document investigations (about 4 h); Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases (about 2 h); Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history (about 2 h).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
33%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 70%
  • 0%
  • 29%
0%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
December 2026

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 70% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

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

At this date and pace, models finish tasks up to 2.4 work days 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, 8%. Today's estimate: 33%.

0%10%20%30%40%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: 0% within reachGPT-5, August 2025: 1% within reachGemini 3 Pro, November 2025: 1% within reachClaude Opus 4.5, November 2025: 1% within reachGPT-5.2, December 2025: 2% within reachClaude Opus 4.6, February 2026: 2% within reachClaude Mythos Preview (early), April 2026: 8% within reachToday (estimate), November 2026: 33% 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.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 14 tasks showed up. Within each of Anthropic's methods, never across a change: 0.016% to 0.0094% (released February and March 2025); 0.002% to 0.0086% (August 2025 to February 2026).

0%0.01%0.02%20252026released February 2025: 0.016%released March 2025: 0.0094%the week of Aug 4, 2025: 0.002%the week of Nov 13, 2025: 0.0064%the week of Feb 5, 2026: 0.0086%April 2026: noneMay 2026: none
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.016%474 of 7084 of 14
Released March 20250.0094%516 of 7032 of 14
The week of Aug 4, 20250.002%633 of 6551 of 14
The week of Nov 13, 20250.0064%543 of 6722 of 14
The week of Feb 5, 20260.0086%514 of 6772 of 14
April 2026nonen/a0 of 14
May 2026nonen/a0 of 14

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 22% of this job's working time as physical work. For 2% of the working time, a robot has been shown doing most of the task somewhere: 2% in a purpose-built cell. 0.02 of 3, the 635th highest of the 923 jobs.

  • Not physical 78%
  • No robot shown 20%
  • In a purpose-built cell 2%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 14 tasks from .

TaskKind
Conduct private investigations on a paid basis.Done more than weekly by most who do it. Robots: no robot shown. Anthropic's rating.20%2.1 work days6.7 h to 1.7 work weeksStays with people
Expose fraudulent insurance claims or stolen funds.Done more than monthly by most who do it. 20%2.1 work days3.3 h to 1.3 work weeks18%Half by Jul 2027
Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases.Done more than monthly by most who do it. 14%1 work day2.5 h to 4.2 work days43%Half by Dec 2026
Investigate companies' financial standings, or locate funds stolen by embezzlers, using accounting skills.Done more than yearly by most who do it.14%2.1 work days3.3 h to 1.3 work weeks18%Half by Jul 2027
Write reports or case summaries to document investigations.Done daily by most who do it. 10%2.5 h50 min to 6.7 h96%Half by now
Observe and document activities of individuals to detect unlawful acts or to obtain evidence for cases, using binoculars and still or video cameras.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating.7%6.7 h2.5 h to 1.7 work daysStays with people
Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history.Done more than monthly by most who do it. 6%2.5 h50 min to 1 work day92%Half by now
Search computer databases, credit reports, public records, tax or legal filings, or other resources to locate persons or to compile information for investigations.Done daily by most who do it. 4%1.3 h25 min to 4.2 h98%Half by now
Question persons to obtain evidence for cases of divorce, child custody, or missing persons or information about individuals' character or financial status.Done more than weekly by most who do it. 2%1.7 h38 min to 5 h99%Half by now
Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees.Done yearly or less by most who do it.2%6.7 h3.3 h to 3.3 work daysStays with people
Testify at hearings or court trials to present evidence.Done more than yearly by most who do it. 0.5%2.5 h1.7 h to 6.7 hStays with people
Confer with establishment officials, security departments, police, or postal officials to identify problems, provide information, or receive instructions.Done more than monthly by most who do it. 0.4%38 min17 min to 1.7 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.

Questions about this job

How much of the work of Private Detectives and Investigators is within reach of AI now?
An estimated 33% of the working time is within reach of AI models now and 69% by the end of 2028, on METR's long-run pace at four in five (58% to 70% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Private Detectives and Investigators come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Write reports or case summaries to document investigations (96% of the task's time now); Obtain and analyze information on suspects, crimes, or disturbances to solve cases, to identify criminal activity, or to gather information for court cases (43% of the task's time now, 100% by the end of 2028); and Conduct personal background investigations, such as pre-employment checks, to obtain information about an individual's character, financial status, or personal history (92% of the task's time now, 100% by the end of 2028).
Which tasks of Private Detectives and Investigators stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Conduct private investigations on a paid basis; Observe and document activities of individuals to detect unlawful acts or to obtain evidence for cases, using binoculars and still or video cameras; and Perform undercover operations, such as evaluating the performance or honesty of employees by posing as customers or employees. Together such tasks are about 30% of the working time.
Do people already use AI for the work of Private Detectives and Investigators?
In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Private Detectives and Investigators?
Anthropic's robot exposure rating (September 2026) finds 22% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 2% of the working time. Its index is 0.02 of 3. One example: CASH360 cash recyclers (Bank of America / G4S Retail Cash Solutions) in Walmart stores for "count cash and review transactions, sales checks, or register tapes to verify amounts or to identify shortages". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 14 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

How the estimates are made

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