# Art, Drama, and Music Teachers, Postsecondary

> Teach courses in drama, music, and the arts including fine and applied art, such as painting and sculpture, or design and crafts. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

- **SOC code:** 25-1121.00
- **Canonical URL:** https://singulariki.com/roles/role-25-1121-00
- **Also known as:** Art Professor, Music Professor, Professor, Theater Professor, Art History Professor, Art Instructor, Assistant Professor, Associate 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):
- Explain and demonstrate artistic techniques.
- Evaluate and grade students' class work, performances, projects, assignments, and papers.
- Prepare students for performances, exams, or assessments.
- Initiate, facilitate, and moderate classroom discussions.
- Prepare and deliver lectures to undergraduate or graduate students on topics such as acting techniques, fundamentals of music, and art history.
- Prepare course materials, such as syllabi, homework assignments, and handouts.
- Organize performance groups and direct their rehearsals.
- Maintain student attendance records, grades, and other required records.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.
- Compile, administer, and grade examinations, or assign this work to others.
- Maintain regularly scheduled office hours to advise and assist students.

**Emerging tasks** (O*NET):
- Direct theater productions.
- Mentor students.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Fine Arts _(knowledge)_
- Education and Training _(knowledge)_
- Speaking _(essential_skill)_
- Instructing _(transferable_skill)_
- English Language _(knowledge)_
- Oral Expression _(ability)_
- Learning Strategies _(essential_skill)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Active Learning _(essential_skill)_

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

**Tools & technology:**
- Adobe Acrobat _(hot technology)_
- Adobe After Effects _(hot technology)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Cascading style sheets CSS _(hot technology)_
- Google Docs _(hot technology)_
- Hypertext markup language HTML _(hot technology)_
- JavaScript _(hot technology)_
- Linux _(hot technology)_
- Microsoft Excel _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 74th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 66th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 59th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 93rd percentile (High) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.7% growth (About average); 9k annual openings; 122.8k → 124.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $80,190; 97,890 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 30% automation, 66% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Advise students on academic and vocational curricula and on career issues. _(23.7% of measured AI use; task iteration)_
- 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)_
- Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction. _(5.9% of measured AI use; task iteration)_
- Explain and demonstrate artistic techniques. _(4.8% of measured AI use; learning)_
- 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)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me advise students on academic and vocational curricula and on career issues.
- 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 plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.

## 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-25-1121-00_