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Retail Loss Prevention Specialists

Implement procedures and systems to prevent merchandise loss. Conduct audits and investigations of employee activity. May assist in developing policies, procedures, and systems for safeguarding assets.

$42,540 a year (for the broader BLS group this job sits in).

now
23%

of the working time. Estimate.

Kinds of work
  • 55%
  • 10%
  • 35%
6%

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

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: 55% 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, 16%. Today's estimate: 23%.

0%10%20%30%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: 2% within reachClaude Opus 4.5, November 2025: 2% within reachGPT-5.2, December 2025: 3% within reachClaude Opus 4.6, February 2026: 3% within reachClaude Mythos Preview (early), April 2026: 16% within reachToday (estimate), September 2026: 23% 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 . 21 tasks from .

TaskKind
Perform covert surveillance of areas susceptible to loss, such loading docks, distribution centers, or warehouses.Done daily by most who do it. 13%2.5 h50 min to 6.7 hStays with people
Investigate known or suspected internal theft, external theft, or vendor fraud.Done daily by most who do it. 13%3.3 h50 min to 2.1 work days18%Half by Jul 2027
Implement or monitor processes to reduce property or financial losses.Done daily by most who do it. 11%2.5 h50 min to 6.7 h46%Half by Oct 2026
Conduct store audits to identify problem areas or procedural deficiencies.Done daily by most who do it. 9%4.2 h1.7 h to 1 work dayStays with people
Recommend methods to reduce potential financial fraud losses.Done more than monthly by most who do it. 8%3.3 h50 min to 1 work day28%Half by Feb 2027
Monitor compliance with standard operating procedures for loss prevention, physical security, or risk management.Done daily by most who do it. AI observed on this task.6%1.7 h50 min to 5 h76%Half by now
Recommend new or improved processes or equipment to reduce risk exposure.Done more than yearly by most who do it. 5%3.3 h50 min to 1.7 work days21%Half by May 2027
Direct work of contract security officers or other loss prevention agents.Done daily by most who do it. 5%1.7 h25 min to 5 hStays with people
Inspect buildings, equipment, or access points to determine security risks.Done daily by most who do it. 4%1.3 h25 min to 4.2 hStays with people
Train establishment personnel in loss prevention activities.Done more than yearly by most who do it. 4%2.5 h50 min to 6.7 hStays with people
Prepare written reports on investigations.Done more than weekly by most who do it. AI observed on this task.4%1.7 h25 min to 6.7 h43%Half by Nov 2026
Identify and report merchandise or stock shortages.Done more than weekly by most who do it. 4%1.3 h25 min to 3.3 h77%Half by now

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.