# Interior Designers

> Plan, design, and furnish the internal space of rooms or buildings. Design interior environments or create physical layouts that are practical, aesthetic, and conducive to the intended purposes. May specialize in a particular field, style, or phase of interior design.

- **SOC code:** 27-1025.00
- **Canonical URL:** https://singulariki.com/roles/role-27-1025-00
- **Also known as:** Designer, Interior Design Consultant, Interior Design Coordinator, Interior Designer, Certified Kitchen Designer, Color and Materials Designer, Commercial Interior Designer, Decorating Consultant
- **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):
- Design plans to be safe and to be compliant with the American Disabilities Act (ADA).
- Use computer-aided drafting (CAD) and related software to produce construction documents.
- Research health and safety code requirements to inform design.
- Confer with client to determine factors affecting planning of interior environments, such as budget, architectural preferences, purpose, and function.
- Advise client on interior design factors, such as space planning, layout and use of furnishings or equipment, and color coordination.
- Coordinate with other professionals, such as contractors, architects, engineers, and plumbers, to ensure job success.
- Review and detail shop drawings for construction plans.
- Inspect construction work on site to ensure its adherence to the design plans.
- Render design ideas in form of paste-ups or drawings.
- Subcontract fabrication, installation, and arrangement of carpeting, fixtures, accessories, draperies, paint and wall coverings, art work, furniture, and related items.
- Select or design, and purchase furnishings, art work, and accessories.
- Estimate material requirements and costs, and present design to client for approval.

**Emerging tasks** (O*NET):
- Review contractor bids to subcontract fabrication, installation, and arrangement of carpeting, fixtures, accessories, draperies, paint and wall coverings, art work, furniture, and related items.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Design _(knowledge)_
- Customer and Personal Service _(knowledge)_
- Building and Construction _(knowledge)_
- English Language _(knowledge)_
- Fluency of Ideas _(ability)_
- Originality _(ability)_
- Reading Comprehension _(essential_skill)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Visualization _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Writing _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Autodesk Revit _(Specialized Skill)_

**Tools & technology:**
- Adobe Creative Cloud software _(hot technology, in demand)_
- Adobe Illustrator _(hot technology, in demand)_
- Adobe InDesign _(hot technology, in demand)_
- Adobe Photoshop _(hot technology, in demand)_
- Autodesk AutoCAD _(hot technology, in demand)_
- Autodesk Revit _(hot technology, in demand)_
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Trimble SketchUp Pro _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 85th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 79th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 70th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 15th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.2% growth (About average); 7.8k annual openings; 87.1k → 89.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $63,490; 69,580 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 27% automation, 60% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Advise client on interior design factors such as space planning, layout and use of furnishings or equipment, and color coordination. _(2.3% of measured AI use; task iteration)_
- Confer with client to determine factors affecting planning interior environments, such as budget, architectural preferences, and purpose and function. _(0.6% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me advise client on interior design factors such as space planning, layout and use of furnishings or equipment, and color coordination.
- Help me confer with client to determine factors affecting planning interior environments, such as budget, architectural preferences, and purpose and function.

## 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-27-1025-00_