Will AI replace Government Property Inspectors and Investigators?
Estimated risk score: 47 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (28 to 66).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-1041.04 · Business and Financial Operations
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 14 rated tasks. In O*NET’s words.
- Prepare correspondence, reports of inspections or investigations, or recommendations for action.
- Examine records, reports, or other documents to establish facts or detect discrepancies.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 4 of its 14 rated tasks. In O*NET’s words.
- Submit samples of products to government laboratories for testing, as required.
- Coordinate with or assist law enforcement agencies in matters of mutual concern.
- Inspect government-owned equipment or materials in the possession of private contractors to ensure compliance with contracts or regulations or to prevent misuse.
- Testify in court or at administrative proceedings concerning investigation findings.
What the job is
Investigate or inspect government property to ensure compliance with contract agreements and government regulations.
Also called: Quality Assurance Specialist, Rehabilitation Construction Specialist, Housing Quality Standard Inspector (HQS Inspector), HQS Inspector, Station Examiner, Government Gauger, Project Inspector, Contract Inspector.
Closest jobs we score by hand
In the same field (Business and Financial Operations). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate