AI exposure Education and library
Will AI replace engineering teachers?
Engineering Teachers, Postsecondary. US occupation 25-1032.
The reading
35.9%
of the time engineering teachers spend on their work goes on tasks where AI is already being used to do that work.of engineering teachers' working hours go on tasks AI has already started taking off their plate.
Ranked 45 of 756 US occupations. More exposed than 94% of them.Further along than 94% of them.
Per cent of working time Square-law scale
Average US job 7.7%
One of the most exposed jobs in the country.Front of the queue for an AI assistant.
What AI already does for engineering teachersWhat engineering teachers no longer do alone
O*NET lists 24 tasks for engineering teachers. AI use at work shows up in 10 of them. Each score runs from 0.5, where every observed use helps a person with the task, to 1, where every use does the task outright.
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.Core task mostly automated 0.92
- Compile, administer, and grade examinations, or assign this work to others.Core task mostly automated 0.91
- Evaluate and grade students' class work, laboratory work, assignments, and papers.Core task mostly automated 0.90
- Compile bibliographies of specialized materials for outside reading assignments. mostly automated 0.90
- Participate in student recruitment, registration, and placement activities.Core task mostly automated 0.89
- Prepare and deliver lectures to undergraduate or graduate students on topics such as mechanics, hydraulics, and robotics.Core task automated and assisted 0.83
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.Core task automated and assisted 0.78
- Advise students on academic and vocational curricula and on career issues.Core task automated and assisted 0.77
Show the other 2
- Provide professional consulting services to government or industry. automated and assisted 0.71
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.Core task mostly assisting 0.50
What it does not touch, yetWhat still needs a human
14 of the 24 tasks show no AI use at work in the data.
- Collaborate with colleagues to address teaching and research issues.Core task
- Initiate, facilitate, and moderate class discussions.Core task
- Maintain regularly scheduled office hours to advise and assist students.Core task
- Maintain student attendance records, grades, and other required records.Core task
- Prepare course materials, such as syllabi, homework assignments, and handouts.Core task
- Select and obtain materials and supplies, such as textbooks and laboratory equipment.Core task
Show the other 8
- Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.Core task
- Supervise students' laboratory work.Core task
- Supervise undergraduate or graduate teaching, internship, and research work.Core task
- Write grant proposals to procure external research funding.Core task
- Act as advisers to student organizations.
- Participate in campus and community events.
- Perform administrative duties, such as serving as department head.
- Review manuscripts for professional journals.
How that compares
Among the 57 education and library occupations, engineering teachers rank 5. The group averages 12.9%, and its most exposed job is Mathematical Science Teachers, Postsecondary at 43.1%. The average US occupation sits at 7.7%.
Just above in the ranking
- 42Graphic Designers 36.7%
- 43English Language and Literature Teachers, Postsecondary 36.2%
- 43Medical Secretaries and Administrative Assistants 36.2%
Just below
What this does and does not mean
Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.
A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.
Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.