Compile bibliographies of specialized materials for outside reading assignments.
Work task
“Compile bibliographies of specialized materials for outside reading assignments.” is a supplemental task performed by Mathematical Science Teachers, Postsecondary. Among the occupation's 24 rated tasks, workers place it 2nd by importance (#23 most important). About 41% 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.
- 0.030% share of AI-use records mapped to this task
- 20% of that use is work-related
- Most common interaction: directive
- Average autonomy of the AI: 3.3 (1–5; higher = more autonomous)
- 99% 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 | 48% | you give the instruction; AI produces a finished result | |
| task iteration | 37% | you and AI go back and forth on the work | |
| learning | 9% | you ask AI to explain or teach you |
Other tasks in this occupation
- Compile, administer, and grade examinations, or assign this work to others. · importance 4.6
- Evaluate and grade students' class work, assignments, and papers. · importance 4.5
- Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics. · importance 4.5
- Maintain student attendance records, grades, and other required records. · importance 4.4
- Prepare course materials, such as syllabi, homework assignments, and handouts. · importance 4.4
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. · importance 4.3
- Maintain regularly scheduled office hours to advise and assist students. · importance 4.2
- Initiate, facilitate, and moderate classroom discussions. · importance 4.2
- Conduct research in a particular field of knowledge and publish findings in books, professional journals, or electronic media. · importance 3.9
- Keep abreast of developments and technological advances in the mathematical field by reading current literature, talking with colleagues, and participating in professional conferences. · importance 3.8
- Select and obtain materials and supplies, such as textbooks. · importance 3.6
- Collaborate with colleagues to address teaching and research issues. · importance 3.6
- Advise students on academic and vocational curricula and on career issues. · importance 3.5
- Develop department and course schedules. · importance 3.5
See all tasks on the Mathematical Science Teachers, Postsecondary 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. "Compile bibliographies of specialized materials for outside reading assignments.." 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-5729
Singulariki. (2026). Compile bibliographies of specialized materials for outside reading assignments.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-5729
@misc{singulariki-task-5729,
title = {Compile bibliographies of specialized materials for outside reading assignments.},
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-5729}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.