Floral Designers vs Hairdressers, Hairstylists, and Cosmetologists
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Floral Designers and Hairdressers, Hairstylists, and Cosmetologists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Floral Designers | Hairdressers, Hairstylists, and Cosmetologists |
|---|---|---|
| Median pay | $36,120 | $35,250 |
| Employment | 40,160 | 295,460 |
| Employment outlook (2024–34) · BLS projection | Declining (-5.9%) | About average (+5.6%) |
| Annual openings · BLS projection | 5,100 | 75,800 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. |
| AI exposure · published exposure studies | Moderate · 59th pct | Low · 17th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 16th pct · 14% of tasks | 26th pct · 18% of tasks |
| Observed AI use · Anthropic Economic Index | — | Augmentation-leaning (65.6%) |
| Mostly remote-capable · Dingel–Neiman | Yes | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Customer and Personal Service, Active Listening, Oral Comprehension, Oral Expression, Speaking, Visualization, Originality, Near Vision, Visual Color Discrimination, Speech Clarity, Category Flexibility, Sales and Marketing, Social Perceptiveness, Service Orientation, Fluency of Ideas, Critical Thinking, Time Management, Information Ordering, Speech Recognition, Judgment and Decision Making, Deductive Reasoning, Arm-Hand Steadiness, Manual Dexterity, Finger Dexterity, Active Learning, Monitoring, Written Comprehension, Selective Attention, Administration and Management, Reading Comprehension, Coordination, Persuasion, Written Expression, Problem Sensitivity.
Specific to Floral Designers
- Production and Processing
- Design
- English Language
- Trunk Strength
- Far Vision
- Operations Analysis
Specific to Hairdressers, Hairstylists, and Cosmetologists
- Complex Problem Solving
- Inductive Reasoning
- Education and Training
- Writing
- Learning Strategies
- Instructing
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Web page creation and editing software , Spreadsheet software , Office suite software , Word processing software , Accounting software .
Specific to Floral Designers
Specific to Hairdressers, Hairstylists, and Cosmetologists
Full profiles
This page is a summary. See the complete source-backed profile for Floral Designers or Hairdressers, Hairstylists, and Cosmetologists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Floral Designers vs Craft Artists
- Floral Designers vs Painting, Coating, and Decorating Workers
- Floral Designers vs Fashion Designers
- Floral Designers vs Retail Salespersons
- Floral Designers vs Tailors, Dressmakers, and Custom Sewers
- Floral Designers vs Sewers, Hand
- Floral Designers vs Fabric and Apparel Patternmakers
- Floral Designers vs Jewelers and Precious Stone and Metal Workers
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Floral Designers vs Hairdressers, Hairstylists, and Cosmetologists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/floral-designers-vs-hairdressers-hairstylists-and-cosmetologists
Singulariki. (2026). Floral Designers vs Hairdressers, Hairstylists, and Cosmetologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/floral-designers-vs-hairdressers-hairstylists-and-cosmetologists
@misc{singulariki-floral-designers-vs-hairdressers-hairstylists-and-cosmetologists,
title = {Floral Designers vs Hairdressers, Hairstylists, and Cosmetologists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/floral-designers-vs-hairdressers-hairstylists-and-cosmetologists}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.