# General and Operations Managers

> Plan, direct, or coordinate the operations of public or private sector organizations, overseeing multiple departments or locations. Duties and responsibilities include formulating policies, managing daily operations, and planning the use of materials and human resources, but are too diverse and general in nature to be classified in any one functional area of management or administration, such as personnel, purchasing, or administrative services. Usually manage through subordinate supervisors. Excludes First-Line Supervisors.

- **SOC code:** 11-1021.00
- **Canonical URL:** https://singulariki.com/roles/role-11-1021-00
- **Also known as:** General Manager (GM), Operations Director, Operations Manager, Store Manager, Business Manager, Center Manager, Department Manager, District Manager
- **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):
- Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.
- Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.
- Manage the movement of goods into and out of production facilities to ensure efficiency, effectiveness, or sustainability of operations.
- Direct administrative activities directly related to making products or providing services.
- Set prices or credit terms for goods or services, based on forecasts of customer demand.
- Prepare staff work schedules and assign specific duties.
- Direct or coordinate financial or budget activities to fund operations, maximize investments, or increase efficiency.
- Perform sales floor work, such as greeting or assisting customers, stocking shelves, or taking inventory.
- Plan or direct activities, such as sales promotions, that require coordination with other department managers.
- Perform personnel functions, such as selection, training, or evaluation.
- Establish or implement departmental policies, goals, objectives, or procedures in conjunction with board members, organization officials, or staff members.
- Develop or implement product-marketing strategies, including advertising campaigns or sales promotions.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administration and Management _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Oral Expression _(ability)_
- Written Expression _(ability)_
- Critical Thinking _(essential_skill)_
- Coordination _(transferable_skill)_

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

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Microsoft PowerPoint _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Amazon Web Services AWS software _(hot technology)_
- Apache Hadoop _(hot technology)_
- Apple macOS _(hot technology)_
- Atlassian Confluence _(hot technology)_
- Atlassian JIRA _(hot technology)_
- Autodesk AutoCAD _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 60th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 62nd percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 88th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 33rd percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 32nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.4% growth (About average); 308.7k annual openings; 3,712.9k → 3,876.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $102,950; 3,584,420 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 40% automation, 47% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement. _(1.8% of measured AI use; directive)_
- Develop or implement product-marketing strategies, including advertising campaigns or sales promotions. _(1.3% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me review financial statements, sales or activity reports, or other performance data to measure productivity or goal achievement or to identify areas needing cost reduction or program improvement.
- Help me develop or implement product-marketing strategies, including advertising campaigns or sales promotions.

## 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
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **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-11-1021-00_