Design computer simulations to model physical data so that it can be better understood.
Work task
“Design computer simulations to model physical data so that it can be better understood.” is a core task performed by Physicists. Among the occupation's 15 rated tasks, workers place it 12th by importance (#4 most important). About 87% 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: T2.
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.
- 0.036% share of AI-use records mapped to this task
- 21% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.6 (1–5; higher = more autonomous)
- 70% 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 | 34% | you give the instruction; AI produces a finished result | |
| task iteration | 21% | you and AI go back and forth on the work | |
| feedback loop | 18% | AI does it, then adjusts from your feedback | |
| learning | 17% | you ask AI to explain or teach you |
Other tasks in this occupation
- Perform complex calculations as part of the analysis and evaluation of data, using computers. · importance 4.3
- Analyze data from research conducted to detect and measure physical phenomena. · importance 4.2
- Describe and express observations and conclusions in mathematical terms. · importance 4.0
- Write research proposals to receive funding. · importance 4.0
- Teach physics to students. · importance 4.0
- Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences. · importance 3.9
- Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes, to explore and identify the basic principles governing these phenomena. · importance 3.8
- Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology. · importance 3.7
- Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures. · importance 3.5
- Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices.
- Conduct application evaluations and analyze results to determine commercial, industrial, scientific, medical, military, or other uses for electro-optical devices.
- Develop standards of permissible concentrations of radioisotopes in liquids and gases.
- Conduct research pertaining to potential environmental impacts of atomic energy-related industrial development to determine licensing qualifications.
- Advise authorities of procedures to be followed in radiation incidents or hazards, and assist in civil defense planning.
See all tasks on the Physicists 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. "Design computer simulations to model physical data so that it can be better understood.." 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-10907
Singulariki. (2026). Design computer simulations to model physical data so that it can be better understood.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-10907
@misc{singulariki-task-10907,
title = {Design computer simulations to model physical data so that it can be better understood.},
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-10907}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.