Compliance Managers
In short: today's best AI models could do about 42% 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 74% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 25% of the time, stays with people.
Plan, direct, or coordinate activities of an organization to ensure compliance with ethical or regulatory standards.
$141,900 a year (for the broader BLS group this job sits in).
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 on1 h
- A person checks AI's work16 h
- Desk work AI can't do yet13 h
- Stays with people10 h
Compliance Managers, now: of a 40-hour week, AI could take on 1 hours, 16 hours become checking its work, 13 hours are desk work it can't do yet, and 10 hours stay with people.
The largest pieces: Monitor compliance systems (about 2 h, a person checks); Prepare management compliance reports (about 1 h, a person checks); Develop risk management strategies (about 1 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.
- 66%
- 8%
- 24%
- 1%
- 0%
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 42% 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, 10%. Today's estimate: 42%.
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, 0.042% went to this job's tasks in May 2026, the 240th largest of the 447 jobs that showed up at all; 2 of its 29 tasks showed up. Within each of Anthropic's methods, never across a change: 0.025% to 0.015% (released February and March 2025); 0.0069% to 0.0096% (August 2025 to February 2026); 0.045% to 0.042% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.025% | 412 of 708 | 7 of 29 |
| Released March 2025 | 0.015% | 460 of 703 | 5 of 29 |
| The week of Aug 4, 2025 (released September 2025) | 0.0069% | 499 of 655 | 3 of 29 |
| The week of Nov 13, 2025 (released January 2026) | 0.0064% | 541 of 672 | 3 of 29 |
| The week of Feb 5, 2026 (released March 2026) | 0.0096% | 503 of 677 | 4 of 29 |
| April 2026 (released June 2026) | 0.045% | 228 of 434 | 2 of 29 |
| May 2026 (released June 2026) | 0.042% | 240 of 447 | 2 of 29 |
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
24% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Direct compliance policy development, the conversation, 6%
- Improve compliance communication and monitoring, the conversation, 4%
- Direct environmental programs, the conversation, 3%
- Train employees on compliance, the conversation, 2%
- Discuss emerging compliance issues, the conversation, 2%
- Take confidential employee contacts, the conversation, 1%
What becomes checking the machine
70% 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 2% is desk work that is small if wrong, which can be handed over with lighter checks.
- Develop risk management strategies, costly if wrong, 10%
- Improve compliance communication and monitoring, costly if wrong, 10%
- Direct compliance policy development, costly if wrong, 9%
- Verify policies are documented and communicated, costly if wrong, 5%
- Verify oversight software is in place, costly if wrong, 5%
- Prepare management compliance reports, costly if wrong, 5%
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 66% 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.
- The conversations. About 25% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
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 . 29 tasks from .
| Task | ||||
|---|---|---|---|---|
| Direct the development or implementation of policies and procedures related to compliance throughout an organization.Policies drafted and directed in conversation.Done more than yearly by most who do it. | 15% | 1.7 work days3.3 h to 4.2 work days | Documents 60%, conversation 40% | 19%Desk part half by Mar 2027 |
| Design or implement improvements in communication, monitoring, or enforcement of compliance standards.Improvements designed on paper and talked through.Done more than yearly by most who do it. | 14% | 1.7 work days3.3 h to 4.2 work days | Documents 70%, conversation 30% | 22%Desk part half by Mar 2027 |
| Develop risk management strategies based on assessment of product, compliance, or operational risks.Strategies written from the risk assessment.Done more than yearly by most who do it. | 10% | 1.7 work days3.3 h to 4.2 work days | Documents 100% | 31%Half by Mar 2027 |
| Direct environmental programs, such as air or water compliance, aboveground or underground storage tanks, spill prevention or control, hazardous waste or materials management, solid waste recycling, medical waste management, indoor air quality, integrated pest management, employee training, or disaster preparedness.Programs run on paper and in conversation with those doing the work.Done yearly or less by most who do it. | 8% | 2.5 work days6.7 h to 1.7 work weeks | Documents 60%, conversation 40% | 11%Desk part half by Jun 2027 |
| Verify that all regulatory policies and procedures have been documented, implemented, and communicated.Policies and their records checked.Done more than yearly by most who do it. AI observed on this task. | 5% | 6.7 h1.7 h to 2.1 work days | Documents 100% | 61%Half by now |
| Verify that software technology is in place to adequately provide oversight and monitoring in all required areas.Systems checked against the requirements.Done more than yearly by most who do it. AI observed on this task. | 5% | 6.7 h1.7 h to 3.1 work days | Documents 60%, systems 40% | 48%Half by now |
| Prepare management reports regarding compliance operations and progress.Reports written.Done more than yearly by most who do it. | 5% | 5 h1.7 h to 1.7 work days | Documents 100% | 80%Half by now |
| Monitor compliance systems to ensure their effectiveness.Systems watched and their output read.Done more than yearly by most who do it. | 5% | 2.5 h50 min to 5 h | Systems 60%, documents 40% | 99%Half by now |
| Provide employee training on compliance related topics, policies, or procedures.Sessions with staff, which can be held online, with the material.Done more than yearly by most who do it. | 4% | 2.5 h50 min to 6.7 h | Conversation 60%, documents 40% | 38%Desk part half by now |
| Conduct periodic internal reviews or audits to ensure that compliance procedures are followed.Records reviewed and questions asked.Done more than yearly by most who do it. | 3% | 1.7 work days3.3 h to 4.2 work days | Documents 70%, conversation 30% | 22%Desk part half by Mar 2027 |
| Report violations of compliance or regulatory standards to duly authorized enforcement agencies as appropriate or required.Reports written and calls to the agency.Done yearly or less by most who do it. | 3% | 2.5 h50 min to 6.7 h | Documents 70%, conversation 30% | 67%Desk part half by now |
| Oversee internal reporting systems, such as corporate compliance hotlines.Hotline reports handled in the system and read.Done more than monthly by most who do it. | 3% | 2.5 h50 min to 1 work day | Systems 60%, documents 40% | 92%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). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Compliance Managers is within reach of AI now?
- An estimated 42% of the working time is within reach of AI models now and 74% by the end of 2028, on METR's long-run pace at four in five (69% to 75% 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 Compliance Managers 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: Monitor compliance systems (99% of the task's time now); Prepare management compliance reports (80% of the task's time now, 100% by the end of 2028); and Develop risk management strategies (31% of the task's time now, 100% by the end of 2028).
- Which tasks of Compliance Managers 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 26% of the working time.
- What should Compliance Managers 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; briefing a model and checking its drafts; and the conversations. By the end of 2028 on the long-run pace at four in five, about 24% of the working time stays with people, 70% becomes checking a model's work and 2% 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 Compliance Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.042% went to this job's tasks, the 240th largest share of the 447 jobs that showed up; 2 of its 29 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 7%. 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 Compliance Managers?
- 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 29 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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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.