Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.

“Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.” is a core task performed by Computer Science Teachers, Postsecondary. Among the occupation's 26 rated tasks, workers place it 24th by importance (#3 most important). About 94% 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.

• Teach academic or vocational subjects. in Training and Teaching Others

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time 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 0.50. Automation potential label: T1.

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.

• 0.007% share of AI-use records mapped to this task

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.

Other tasks in this occupation

• Prepare course materials, such as syllabi, homework assignments, and handouts. · importance 4.6
• Compile, administer, and grade examinations or assign this work to others. · importance 4.6
• Evaluate and grade students' class work, laboratory work, assignments, and papers. · importance 4.4
• Direct research of other teachers or of graduate students working for advanced academic degrees. · importance 4.2
• Maintain student attendance records, grades, and other required records. · importance 4.2
• Supervise undergraduate or graduate teaching, internship, and research work. · importance 4.2
• Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. · importance 4.2
• Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. · importance 4.2
• Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. · importance 4.1
• Maintain regularly scheduled office hours to advise and assist students. · importance 4.1
• Supervise students' laboratory work. · importance 4.0
• Advise students on academic and vocational curricula and on career issues. · importance 4.0
• Initiate, facilitate, and moderate classroom discussions. · importance 3.9
• Develop and maintain Web sites for online courses. · importance 3.9

See all tasks on the Computer 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.

@misc{singulariki-task-5687,
  title  = {Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.},
  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-5687}
}