Labor Relations Specialists
In short: today's best AI models could do about 32% 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 54% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 43% of the time, stays with people.
Resolve disputes between workers and managers, negotiate collective bargaining agreements, or coordinate grievance procedures to handle employee complaints.
64,810 people do this job in the US. $95,420 a year.
Reviewed on October 2, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on0 h
- A person checks AI's work13 h
- Desk work AI can't do yet10 h
- Stays with people17 h
Labor Relations Specialists, now: of a 40-hour week, AI could take on 0 hours, 13 hours become checking its work, 10 hours are desk work it can't do yet, and 17 hours stay with people.
The largest pieces: Investigate union complaints (about 4 h, a person checks); Check practices against the contract (about 3 h, a person checks); Research case law and past rulings (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.
- 57%
- 0%
- 13%
- 30%
- 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 32% 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, 4%. Today's estimate: 33%.
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, no reportable share went to this job's tasks in May 2026; 0 of its 28 tasks showed up. Within each of Anthropic's methods, never across a change: 0.026% to 0.03% (released February and March 2025); none to 0.0094% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.026% | 398 of 708 | 5 of 28 |
| Released March 2025 | 0.03% | 359 of 703 | 5 of 28 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 28 |
| The week of Nov 13, 2025 (released January 2026) | 0.011% | 464 of 672 | 4 of 28 |
| The week of Feb 5, 2026 (released March 2026) | 0.0094% | 507 of 677 | 4 of 28 |
| April 2026 (released June 2026) | none | n/a | 0 of 28 |
| May 2026 (released June 2026) | none | n/a | 0 of 28 |
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
42% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Negotiate collective bargaining agreements, the in-person work, 17%
- Mediate between employer and employees, the in-person work, 10%
- Investigate union complaints, the conversation, 7%
- Prepare evidence and witnesses for hearings, the conversation, 1%
- Draft bargaining rules with the parties, the conversation, 0.9%
- Present a side in arbitration, the in-person work, 0.9%
What becomes checking the machine
52% 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.
- Check practices against the contract, costly if wrong, 16%
- Investigate union complaints, costly if wrong, 11%
- Negotiate collective bargaining agreements, costly if wrong, 5%
- Research case law and past rulings, costly if wrong, 4%
- Recommend bargaining strategies, costly if wrong, 3%
- Assess bargaining strategy risks, costly if wrong, 2%
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 57% 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 43% 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 . 28 tasks from .
| Task | ||||
|---|---|---|---|---|
| Negotiate collective bargaining agreements.At the table with the other side through the bargaining sessions, with the drafting between them.Done yearly or less by most who do it. | 25% | 3.3 work weeks4.2 work days to 1.5 work months | In person 70%, documents 30% | 0%Desk part half by Oct 2028 |
| Investigate and evaluate union complaints or arguments to determine viability.Reading the complaint and the record, and talking with those involved, to judge whether it holds.Done more than monthly by most who do it. | 18% | 6.7 h2.5 h to 1.7 work days | Documents 60%, conversation 40% | 50%Desk part half by now |
| Review employer practices or employee data to ensure compliance with contracts on matters such as wages, hours, or conditions of employment.Reviewing pay, hours and conditions data against the contract's terms.Done more than yearly by most who do it. | 16% | 6.7 h1.7 h to 3.1 work days | Documents 100% | 48%Half by now |
| Mediate discussions between employer and employee representatives in attempt to reconcile differences.In the room with both sides, working toward an agreement.Done more than monthly by most who do it. | 10% | 5 h1.3 h to 2.1 work days | In person 100% | Stays with people |
| Research case law or outcomes of previous case hearings.Reading the decisions and past hearings that bear on the case.Done more than yearly by most who do it. | 4% | 3.3 h50 min to 1.7 work days | Documents 100% | 71%Half by now |
| Recommend collective bargaining strategies, goals, or objectives.Writing the strategy and goals for the negotiation and putting them to leadership.Done more than yearly by most who do it. | 4% | 1 work day2.5 h to 2.5 work days | Documents 80%, conversation 20% | 47%Desk part half by now |
| Prepare evidence for disciplinary hearings, including preparing witnesses to testify.Assembling the documents and going over their testimony with the witnesses.Done more than monthly by most who do it. | 3% | 1 work day3.3 h to 3.1 work days | Documents 50%, conversation 50% | 31%Desk part half by now |
| Monitor company or workforce adherence to labor agreements.Reviewing practices and records against the agreement, with questions to managers.Done more than monthly by most who do it. | 3% | 3.3 h1.3 h to 1.7 work days | Documents 70%, conversation 30% | 59%Desk part half by now |
| Draft rules or regulations to govern collective bargaining activities in collaboration with company, government, or employee representatives.Drafting the ground rules and settling them with the other representatives.Done more than yearly by most who do it. | 2% | 1.7 work days3.3 h to 1 work week | Documents 60%, conversation 40% | 17%Desk part half by Apr 2027 |
| Assess risk levels associated with collective bargaining strategies.Analysis of what each bargaining approach could cost or bring.Done more than yearly by most who do it. | 2% | 6.7 h1.7 h to 2.1 work days | Documents 100% | 61%Half by now |
| Propose resolutions for collective bargaining or other labor or contract negotiations.Drafting the proposed terms and putting them to the other side.Done more than yearly by most who do it. | 2% | 5 h1.7 h to 2.1 work days | Documents 70%, conversation 30% | 51%Desk part half by now |
| Interpret contractual agreements for employers and employees engaged in collective bargaining or other labor relations processes.Reading the agreement's terms against the case and explaining what they mean to those involved.Done more than monthly by most who do it. | 2% | 1.7 h25 min to 3.3 h | Documents 60%, conversation 40% | 59%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.
- Arbitrators, Mediators, and Conciliators63% now, 95% by 2028
- Equal Opportunity Representatives and Officers51% now, 87% by 2028
- Human Resources Managers39% now, 60% by 2028
- Human Resources Specialists63% now, 69% by 2028
- Compensation, Benefits, and Job Analysis Specialists43% now, 80% by 2028
- Compensation and Benefits Managers21% now, 73% 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 Labor Relations Specialists is within reach of AI now?
- An estimated 33% of the working time is within reach of AI models now and 54% by the end of 2028, on METR's long-run pace at four in five (48% to 57% 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 Labor Relations Specialists 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: Investigate union complaints (50% of the task's time now, 60% by the end of 2028); Check practices against the contract (48% of the task's time now, 100% by the end of 2028); and Research case law and past rulings (71% of the task's time now, 100% by the end of 2028).
- Which tasks of Labor Relations Specialists stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Mediate between employer and employees; Present a side in arbitration; and Meet with unions and other parties. 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 Labor Relations Specialists 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 42% of the working time stays with people, 52% becomes checking a model's work and 0% 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 Labor Relations Specialists?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. 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 Labor Relations Specialists?
- 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 28 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 2, 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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