# Labor Relations Specialists

> Resolve disputes between workers and managers, negotiate collective bargaining agreements, or coordinate grievance procedures to handle employee complaints.

- **SOC code:** 13-1075.00
- **Canonical URL:** https://singulariki.com/roles/role-13-1075-00
- **Also known as:** Business Agent, Business Representative, Labor Relations Specialist, Labor Specialist, Grievance Manager, Appeals and Grievances Specialist, Arbitration Specialist, Collective Bargaining Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Negotiate collective bargaining agreements.
- Investigate and evaluate union complaints or arguments to determine viability.
- Propose resolutions for collective bargaining or other labor or contract negotiations.
- Draft contract proposals or counter-proposals for collective bargaining or other labor negotiations.
- Interpret contractual agreements for employers and employees engaged in collective bargaining or other labor relations processes.
- Mediate discussions between employer and employee representatives in attempt to reconcile differences.
- Prepare evidence for disciplinary hearings, including preparing witnesses to testify.
- Review employer practices or employee data to ensure compliance with contracts on matters such as wages, hours, or conditions of employment.
- Monitor company or workforce adherence to labor agreements.
- Recommend collective bargaining strategies, goals, or objectives.
- Call or meet with union, company, government, or other interested parties to discuss labor relations matters, such as contract negotiations or grievances.
- Assess risk levels associated with collective bargaining strategies.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Oral Expression _(ability)_
- Negotiation _(transferable_skill)_
- Oral Comprehension _(ability)_
- Personnel and Human Resources _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Writing _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- Problem Sensitivity _(ability)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Negotiation _(Common Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Complex Problem Solving _(Common Skill)_
- ServiceNow _(Specialized Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Outlook _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- ServiceNow _(hot technology, in demand)_
- Workday software _(hot technology, in demand)_
- Kubernetes _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle PeopleSoft _(hot technology)_
- Oracle HRIS _(in demand)_

## AI exposure & outlook

- **AI task-overlap index:** 62nd percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 90th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 82nd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 17th percentile (Low) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -0.1% growth (Declining); 5.1k annual openings; 65.4k → 65.4k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $93,500; 64,590 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 41% automation, 55% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Prepare reports or presentations to communicate employee satisfaction or related data to management. _(0.4% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me prepare reports or presentations to communicate employee satisfaction or related data to management.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-13-1075-00_