# Floral Designers

> Design, cut, and arrange live, dried, or artificial flowers and foliage.

- **SOC code:** 27-1023.00
- **Canonical URL:** https://singulariki.com/roles/role-27-1023-00
- **Also known as:** Designer, Floral Clerk, Floral Designer, Florist, Floral Artist, Floral Department Specialist, Wedding Decorator, Artificial Foliage Arranger
- **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):
- Confer with clients regarding price and type of arrangement desired and the date, time, and place of delivery.
- Select flora and foliage for arrangements, working with numerous combinations to synthesize and develop new creations.
- Order and purchase flowers and supplies from wholesalers and growers.
- Deliver arrangements to customers, or oversee employees responsible for deliveries.
- Plan arrangement according to client's requirements, using knowledge of design and properties of materials, or select appropriate standard design pattern.
- Water plants, and cut, condition, and clean flowers and foliage for storage.
- Trim material and arrange bouquets, wreaths, terrariums, and other items, using trimmers, shapers, wire, pins, floral tape, foam, and other materials.
- Wrap and price completed arrangements.
- Perform office and retail service duties, such as keeping financial records, serving customers, answering telephones, selling giftware items, and receiving payment.
- Unpack stock as it comes into the shop.
- Create and change in-store and window displays, designs, and looks to enhance a shop's image.
- Inform customers about the care, maintenance, and handling of various flowers and foliage, indoor plants, and other items.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Active Listening _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Speaking _(essential_skill)_
- Visualization _(ability)_
- Originality _(ability)_
- Near Vision _(ability)_
- Visual Color Discrimination _(ability)_
- Speech Clarity _(ability)_
- Production and Processing _(knowledge)_
- Category Flexibility _(ability)_

**Skills in demand:**
- Active Listening _(Common Skill)_
- Visualization _(Specialized Skill)_
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft PowerPoint _(Common Skill)_

**Tools & technology:**
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Inventory tracking software
- Supply ordering software
- Timekeeping software
- Transaction accounting software
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 44th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 41st percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 34th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 59th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 23rd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -5.9% growth (Declining); 5.1k annual openings; 43.8k → 41.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $36,120; 40,160 employed.

## 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/
- **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-27-1023-00_