Management Analysts
In short: today's best AI models could do about 36% 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 85% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 15% of the time, stays with people.
Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.
898,280 people do this job in the US. $101,860 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on2 h
- A person checks AI's work13 h
- Desk work AI can't do yet19 h
- Stays with people6 h
Management Analysts, now: of a 40-hour week, AI could take on 2 hours, 13 hours become checking its work, 19 hours are desk work it can't do yet, and 6 hours stay with people.
The largest pieces: Gather information on problems and procedures (about 4 h, a person checks); Analyze data and develop solutions (about 3 h, a person checks); Recommend storage equipment and layouts (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.
- 76%
- 10%
- 11%
- 2%
- 2%
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 36% 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, 2%. Today's estimate: 37%.
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, 0.15% went to this job's tasks in May 2026, the 125th largest of the 447 jobs that showed up at all; 4 of its 11 tasks showed up. Within each of Anthropic's methods, never across a change: 0.22% to 0.037% (released February and March 2025); 0.096% to 0.14% (August 2025 to February 2026); 0.17% to 0.15% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.22% | 86 of 708 | 8 of 11 |
| Released March 2025 | 0.037% | 319 of 703 | 5 of 11 |
| The week of Aug 4, 2025 (released September 2025) | 0.096% | 159 of 655 | 4 of 11 |
| The week of Nov 13, 2025 (released January 2026) | 0.11% | 139 of 672 | 4 of 11 |
| The week of Feb 5, 2026 (released March 2026) | 0.14% | 127 of 677 | 5 of 11 |
| April 2026 (released June 2026) | 0.17% | 112 of 434 | 4 of 11 |
| May 2026 (released June 2026) | 0.15% | 125 of 447 | 4 of 11 |
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
15% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Write manuals and train workers, the conversation, 3%
- Follow up on newly implemented systems, the conversation, 3%
- Gather information on problems and procedures, the conversation, 3%
- Interview staff and observe work on site, the in-person work, 2%
- Recommend storage equipment and layouts, the hands-on work, 2%
- Review forms and reports with users, the conversation, 1%
What becomes checking the machine
79% 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 6% is desk work that is small if wrong, which can be handed over with lighter checks.
- Develop a records management program, costly if wrong, 24%
- Analyze data and develop solutions, costly if wrong, 16%
- Gather information on problems and procedures, costly if wrong, 12%
- Write manuals and train workers, costly if wrong, 8%
- Recommend storage equipment and layouts, costly if wrong, 8%
- Document findings and recommendations, costly if wrong, 6%
What to learn
- 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.
- Briefing a model and checking its drafts. About 76% 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.
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 . 11 tasks from .
| Task | ||||
|---|---|---|---|---|
| Develop and implement records management program for filing, protection, and retrieval of records, and assure compliance with program.Program design on paper, and setting it up in the records system.Done more than monthly by most who do it. | 24% | 4.2 work days1.7 work days to 2.1 work weeks | Documents 60%, systems 40% | 7%Half by Aug 2027 |
| Analyze data gathered and develop solutions or alternative methods of proceeding.Analysis on paper.Done more than monthly by most who do it. | 16% | 1.3 work days3.3 h to 3.1 work days | Documents 100% | 52%Half by now |
| Gather and organize information on problems or procedures.Collecting and organizing documents and data, with some asking.Done more than monthly by most who do it. AI observed on this task. | 15% | 5 h1.7 h to 1.7 work days | Documents 80%, conversation 20% | 64%Desk part half by now |
| Prepare manuals and train workers in use of new forms, reports, procedures or equipment, according to organizational policy.Writing the manual, and training sessions.Done more than yearly by most who do it. | 11% | 2.1 work days6.7 h to 1 work week | Documents 70%, conversation 30% | 21%Desk part half by Feb 2027 |
| Recommend purchase of storage equipment and design area layout to locate equipment in space available.A layout and equipment plan, with a look at the space.Done more than yearly by most who do it. | 9% | 1 work day2.5 h to 2.6 work days | Documents 80%, hands-on 20% | 46%Desk part half by now |
| Document findings of study and prepare recommendations for implementation of new systems, procedures, or organizational changes.Pure document work.Done more than monthly by most who do it. AI observed on this task. | 6% | 2.1 work days6.7 h to 1 work week | Documents 100% | 31%Half by Feb 2027 |
| Design, evaluate, recommend, and approve changes of forms and reports.Pure document work.Done more than yearly by most who do it. | 4% | 6.7 h1.7 h to 2.1 work days | Documents 100% | 61%Half by now |
| Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures.Conversations with the people using the new system.Done more than yearly by most who do it. | 4% | 2.5 h50 min to 6.7 h | Conversation 80%, documents 20% | 19%Desk part half by now |
| Plan study of work problems and procedures, such as organizational change, communications, information flow, integrated production methods, inventory control, or cost analysis.Study design on paper.Done more than monthly by most who do it. | 4% | 1 work day3.3 h to 2.6 work days | Documents 100% | 68%Half by now |
| Interview personnel and conduct on-site observation to ascertain unit functions, work performed, and methods, equipment, and personnel used.Being in the unit to watch and ask.Done more than yearly by most who do it. | 3% | 6.7 h2.5 h to 2.1 work days | In person 70%, documents 30% | 23%Desk part half by now |
| Review forms and reports and confer with management and users about format, distribution, and purpose, identifying problems and improvements.Reading the forms, and meetings with the people who use them.Done more than monthly by most who do it. | 3% | 5 h1.7 h to 1.6 work days | Documents 60%, conversation 40% | 50%Desk part half by now |
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.
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 Management Analysts is within reach of AI now?
- An estimated 37% of the working time is within reach of AI models now and 85% by the end of 2028, on METR's long-run pace at four in five (77% to 85% 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 Management Analysts 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: Gather information on problems and procedures (64% of the task's time now, 80% by the end of 2028); Analyze data and develop solutions (52% of the task's time now, 100% by the end of 2028); and Recommend storage equipment and layouts (46% of the task's time now, 80% by the end of 2028).
- Which tasks of Management Analysts stay with people?
- Every task has a desk part, so each can come partly within reach; the conversation, in-person and hands-on parts of each task stay with people, about 15% of the working time.
- What should Management Analysts learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 15% of the working time stays with people, 79% becomes checking a model's work and 6% 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 Management Analysts?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.15% went to this job's tasks, the 125th largest share of the 447 jobs that showed up; 4 of its 11 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 24%. 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 Management Analysts?
- 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 11 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 September 30, 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.
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