Business Teachers, Postsecondary
In short: today's best AI models could do about 29% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 51% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 38% of the time, stays with people.
Teach courses in business administration and management, such as accounting, finance, human resources, labor and industrial relations, marketing, and operations research. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
82,150 people do this job in the US. $99,080 a year.
Reviewed on October 1, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on3 h
- A person checks AI's work9 h
- Desk work AI can't do yet13 h
- Stays with people15 h
Business Teachers, Postsecondary, now: of a 40-hour week, AI could take on 3 hours, 9 hours become checking its work, 13 hours are desk work it can't do yet, and 15 hours stay with people.
The largest pieces: Grade student work (about 2 h, a person checks); Maintain the course website (about 2 h); Prepare course materials (about 2 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 58%
- 4%
- 15%
- 19%
- 5%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 29% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 7%. Today's estimate: 29%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.038% went to this job's tasks in May 2026, the 251st largest of the 447 jobs that showed up at all; 6 of its 25 tasks showed up. Within each of Anthropic's methods, never across a change: 0.025% to 0.031% (released February and March 2025); 0.064% to 0.056% (August 2025 to February 2026); 0.039% to 0.038% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.025% | 405 of 708 | 18 of 25 |
| Released March 2025 | 0.031% | 352 of 703 | 17 of 25 |
| The week of Aug 4, 2025 (released September 2025) | 0.064% | 203 of 655 | 19 of 25 |
| The week of Nov 13, 2025 (released January 2026) | 0.07% | 198 of 672 | 22 of 25 |
| The week of Feb 5, 2026 (released March 2026) | 0.056% | 238 of 677 | 22 of 25 |
| April 2026 (released June 2026) | 0.039% | 246 of 434 | 5 of 25 |
| May 2026 (released June 2026) | 0.038% | 251 of 447 | 6 of 25 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
38% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Consult for industry and government, the conversation, 7%
- Research and publish, the hands-on work, 5%
- Prepare and give lectures, the in-person work, 5%
- Hold office hours, the in-person work, 4%
- Keep up with the field, the in-person work, 3%
- Serve as department head, the conversation, 3%
What becomes checking the machine
42% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 8% is desk work that is small if wrong, which can be handed over with lighter checks.
- Research and publish, costly if wrong, 10%
- Grade student work, costly if wrong, 7%
- Consult for industry and government, costly if wrong, 6%
- Revise curricula and courses, costly if wrong, 6%
- Prepare course materials, costly if wrong, 4%
- Write, give and grade exams, costly if wrong, 3%
What to learn
- Briefing a model and checking its drafts. About 58% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- The conversations. About 33% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Handling protected records. Much of the work touches protected personal records: knowing what may be shared with a model, and how, is part of the job.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 25 tasks from .
| Task | ||||
|---|---|---|---|---|
| Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.Analysis and writing, with some field or data work.Done more than yearly by most who do it. AI observed on this task. | 26% | 3.5 work weeks4.2 work days to 2.4 work months | Documents 80%, hands-on 20% | 0%Desk part half by Jan 2029 |
| Provide professional consulting services to government or industry.Advice given in meetings and in writing.Done more than yearly by most who do it. AI observed on this task. | 14% | 2.1 work days3.3 h to 1.7 work weeks | Documents 50%, conversation 50% | 7%Desk part half by Oct 2027 |
| Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.Planning on paper, with discussion among colleagues.Done more than yearly by most who do it. AI observed on this task. | 8% | 1.3 work days3.3 h to 4.2 work days | Documents 80%, conversation 20% | 35%Desk part half by Dec 2026 |
| Evaluate and grade students' class work, assignments, and papers.Marking the work.Done more than weekly by most who do it. AI observed on this task. | 7% | 3.3 h50 min to 1.3 work days | Documents 100% | 80%Half by now |
| Prepare and deliver lectures to undergraduate or graduate students on topics such as financial accounting, principles of marketing, and operations management.Preparing the lecture and giving it in the hall.Done more than weekly by most who do it. | 7% | 2.5 h1.7 h to 5 h | In person 70%, documents 30% | 30%Desk part half by now |
| Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional organizations and conferences.Reading and attending; the knowing is the teacher's own.Done more than weekly by most who do it. AI observed on this task. | 5% | 2.5 h50 min to 6.7 h | In person 60%, documents 40% | 38%Desk part half by now |
| Perform administrative duties, such as serving as department head.Mostly conversation with the department's people, plus reading and deciding.Done daily by most who do it. | 5% | 6.7 h3.3 h to 2.1 work days | Conversation 60%, documents 40% | 34%Desk part half by now |
| Compile, administer, and grade examinations, or assign this work to others.Writing and marking the exam, and sitting in the room while students take it.Done more than monthly by most who do it. AI observed on this task. | 5% | 5 h1.7 h to 1.7 work days | Documents 70%, in person 30% | 56%Desk part half by now |
| Develop and maintain course Web sites.Posting and updating the course site.Done more than weekly by most who do it. | 5% | 3.3 h50 min to 5 h | Systems 60%, documents 40% | 97%Half by now |
| Prepare course materials, such as syllabi, homework assignments, and handouts.Writing the syllabus and handouts.Done more than yearly by most who do it. | 4% | 3.3 h1.7 h to 1 work day | Documents 100% | 99%Half by now |
| Maintain regularly scheduled office hours to advise and assist students.Students at the office door.Done more than weekly by most who do it. | 4% | 1.7 h50 min to 2.5 h | In person 100% | Stays with people |
| Initiate, facilitate, and moderate classroom discussions.Leading the discussion in the room.Done more than weekly by most who do it. | 2% | 1.1 h38 min to 1.7 h | In person 100% | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Economics Teachers, Postsecondary49% now, 83% by 2028
- Management Analysts37% now, 85% by 2028
- Career/Technical Education Teachers, Secondary School32% now, 32% by 2028
- Law Teachers, Postsecondary50% now, 79% by 2028
- Instructional Coordinators39% now, 68% by 2028
- Computer Science Teachers, Postsecondary54% now, 74% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Business Teachers, Postsecondary is within reach of AI now?
- An estimated 29% of the working time is within reach of AI models now and 51% by the end of 2028, on METR's long-run pace at four in five (39% to 60% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Business Teachers, Postsecondary come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Grade student work (80% of the task's time now, 100% by the end of 2028); Maintain the course website (97% of the task's time now); and Prepare course materials (99% of the task's time now).
- Which tasks of Business Teachers, Postsecondary stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Hold office hours; Moderate class discussions; and Help with recruitment and placement. Together such tasks are about 12% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Business Teachers, Postsecondary learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are briefing a model and checking its drafts; reviewing work you did not do yourself; and the conversations. By the end of 2028 on the long-run pace at four in five, about 38% of the working time stays with people, 42% becomes checking a model's work and 8% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Business Teachers, Postsecondary?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.038% went to this job's tasks, the 251st largest share of the 447 jobs that showed up; 6 of its 25 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 31%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Business Teachers, Postsecondary?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 25 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on October 1, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.
Your own version of this job
The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.
The full personal report is $19, to print or save as a PDF: every task with when it comes within reach, which ones your description names, the parts of your description the task list does not cover, what stays with you, what becomes checking the machine and what to learn.