Record test data and document fabrication techniques on reports.
Work task
“Record test data and document fabrication techniques on reports.” is a supplemental task performed by Camera and Photographic Equipment Repairers. Among the occupation's 15 rated tasks, workers place it 3rd by importance (#13 most important). About 55% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T3.
How AI is actually used on this kind of task
The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.
- 89% of that use is work-related
- 100% of interactions still needed a human in the loop
Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.
Working with AI vs. handing it off
Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.
How people interact with AI on this task
| Interaction pattern | Share | % | What it means |
|---|---|---|---|
| directive | 71% | you give the instruction; AI produces a finished result |
Other tasks in this occupation
- Adjust cameras, photographic mechanisms, or equipment such as range and view finders, shutters, light meters, or lens systems, using hand tools. · importance 4.5
- Disassemble equipment to gain access to defect, using hand tools. · importance 4.4
- Test equipment performance, focus of lens system, diaphragm alignment, lens mounts, or film transport, using precision gauges. · importance 4.4
- Clean and lubricate cameras and polish camera lenses, using cleaning materials and work aids. · importance 4.3
- Install electrical assemblies and wiring in aircraft camera housings and memory cards or film in cameras, following blueprints and using hand tools and soldering equipment. · importance 4.3
- Requisition parts or materials. · importance 4.1
- Calibrate and verify accuracy of light meters, shutter diaphragm operation, or lens carriers, using timing instruments. · importance 4.1
- Examine cameras, equipment, processed film, or laboratory reports to diagnose malfunction, using work aids and specifications. · importance 4.0
- Read and interpret engineering drawings, diagrams, instructions, or specifications to determine needed repairs, fabrication method, and operation sequence. · importance 4.0
- Measure parts to verify specified dimensions or settings, such as camera shutter speed or light meter reading accuracy, using measuring instruments. · importance 4.0
- Assemble aircraft cameras, still or motion picture cameras, photographic equipment, or frames, using diagrams, blueprints, bench machines, hand tools, or power tools. · importance 3.7
- Fabricate or modify defective electronic, electrical, or mechanical components, using bench lathe, milling machine, shaper, grinder, or precision hand tools, according to specifications. · importance 3.5
- Lay out reference points and dimensions on parts or metal stock to be machined, using precision measuring instruments. · importance 2.8
- Recommend design changes or upgrades of microfilming, film-developing, or photographic equipment. · importance 2.3
See all tasks on the Camera and Photographic Equipment Repairers page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Record test data and document fabrication techniques on reports.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-8447
Singulariki. (2026). Record test data and document fabrication techniques on reports.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-8447
@misc{singulariki-task-8447,
title = {Record test data and document fabrication techniques on reports.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-8447}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.