# Business Teachers, Postsecondary

> Teach courses in business administration and management, such as accounting, finance, human resources, labor and industrial relations, marketing, and operations research. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

- **SOC code:** 25-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-25-1011-00
- **Also known as:** Business Instructor, Business Professor, Instructor, Professor, Accounting Instructor, Accounting Professor, Associate Professor, Business Administration Professor
- **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):
- Prepare and deliver lectures to undergraduate or graduate students on topics such as financial accounting, principles of marketing, and operations management.
- Evaluate and grade students' class work, assignments, and papers.
- Initiate, facilitate, and moderate classroom discussions.
- Prepare course materials, such as syllabi, homework assignments, and handouts.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional organizations and conferences.
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
- Maintain student attendance records, grades, and other required records.
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Compile, administer, and grade examinations, or assign this work to others.
- Maintain regularly scheduled office hours to advise and assist students.
- Collaborate with colleagues to address teaching and research issues.
- Advise students on academic and vocational curricula and career issues.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Oral Expression _(ability)_
- English Language _(knowledge)_
- Education and Training _(knowledge)_
- Speaking _(essential_skill)_
- Instructing _(transferable_skill)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- Speech Clarity _(ability)_
- Administration and Management _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_

**Skills in demand:**
- English Language _(Common Skill)_
- Instructing _(Specialized Skill)_
- Writing _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Learning Strategies _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Learning _(Common Skill)_
- Mathematics _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Google Docs _(hot technology)_
- Hypertext markup language HTML _(hot technology)_
- IBM SPSS Statistics _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- R _(hot technology)_
- SAS _(hot technology)_
- Learning management system LMS _(in demand)_
- Almaris E-Learning Systems Financial Accounting Tutor

## AI exposure & outlook

- **AI task-overlap index:** 91st percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 92nd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 64th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 98th percentile (High) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.7% growth (About average); 8.1k annual openings; 103.1k → 109k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $97,270; 81,780 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 35% automation, 62% augmentation (usage-weighted).
- **Autonomy median:** 3.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Evaluate and grade students' class work, assignments, and papers. _(25.7% of measured AI use; validation)_
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. _(13.9% of measured AI use; learning)_
- Provide professional consulting services to government or industry. _(12.8% of measured AI use; task iteration)_
- Compile, administer, and grade examinations, or assign this work to others. _(10.6% of measured AI use; directive)_
- Prepare course materials such as syllabi, homework assignments, and handouts. _(3.8% of measured AI use; directive)_
- Compile bibliographies of specialized materials for outside reading assignments. _(2.9% of measured AI use; directive)_
- Initiate, facilitate, and moderate classroom discussions. _(2.6% of measured AI use; learning)_
- Advise students on academic and vocational curricula and career issues. _(2.6% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me evaluate and grade students' class work, assignments, and papers.
- Help me conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Help me provide professional consulting services to government or industry.
- Help me compile, administer, and grade examinations, or assign this work to others.
- Help me prepare course materials such as syllabi, homework assignments, and handouts.

## 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-25-1011-00_