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Singulariki

Floral Designers

Occupation · SOC 27-1023.00

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

Also called: Designer · Floral Clerk · Floral Designer · Florist · Floral Artist · Floral Department Specialist · Wedding Decorator · Artificial Foliage Arranger · Corsage Maker · Custom Framer · Design Consultant · Design Maker

Job family: Arts, Design, Entertainment, Sports, and Media Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-27-1023-00/context.md directly.

AI work map

A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.

44th-percentile task overlap — yet about 5,100 openings a year (-5.9% projected, BLS) . What exposure means →

AI & job outlook

What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.

Exposure to current AI

Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.

Measure Rank vs all occupations Percentile Score
Overall AI exposure (Felten et al.) Moderate 41st -0.3
LLM task exposure, γ (OpenAI / Eloundou) Moderate 34th 0.3
AI assistant applicability (Microsoft) Moderate 59th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.2), and including AI-powered software (γ 0.3). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.

Historical automation estimate (2013)

A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.

Frey–Osborne probability 0.0 · 23rd percentile among occupations · Low

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -5.9% by 2034
Projected annual openings 5,100
Employment 2024 → 2034 43,800 → 41,200

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

Where this work sits on the global GenAI gradient

The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.

14% mean task exposure (2025)
16th percentile of 427 placed occupations
+7 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Craft and Related Workers not Elsewhere Classified · 7549 14% Not exposed

Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.

Tasks

All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Customer and Personal Service 4.1
Production and Processing 3.5
Sales and Marketing 3.5
Design 3.4
English Language 3.4
Administration and Management 2.9

Essential skills

Active Listening 4.0
Speaking 3.9
Critical Thinking 3.3
Active Learning 3.0
Monitoring 3.0
Reading Comprehension 2.9

Abilities

Oral Comprehension 4.0
Oral Expression 4.0
Visualization 3.9
Originality 3.6
Near Vision 3.6
Visual Color Discrimination 3.6
Speech Clarity 3.6
Category Flexibility 3.5
Fluency of Ideas 3.4
Information Ordering 3.3
Speech Recognition 3.3
Deductive Reasoning 3.1
Arm-Hand Steadiness 3.1
Manual Dexterity 3.1
Finger Dexterity 3.1
Trunk Strength 3.1
Far Vision 3.1
Written Comprehension 3.0
Selective Attention 3.0
Written Expression 2.9
Problem Sensitivity 2.9

Transferable skills

Social Perceptiveness 3.4
Service Orientation 3.4
Time Management 3.3
Judgment and Decision Making 3.1
Operations Analysis 3.0
Coordination 2.9
Persuasion 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Facebook Web page creation and editing software Hot technology
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Inventory tracking software Inventory management software
Supply ordering software Procurement software
Timekeeping software Time accounting software
Transaction accounting software Accounting software
Web browser software Internet browser software

Work context

How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.

Telephone Conversations 4.9
Deal With External Customers or the Public in General 4.8
Face-to-Face Discussions with Individuals and Within Teams 4.7
Determine Tasks, Priorities and Goals 4.6
Contact With Others 4.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 4.5
Work With or Contribute to a Work Group or Team 4.4
E-Mail 4.2
Freedom to Make Decisions 4.2
Spend Time Standing 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.2
Indoors, Environmentally Controlled 4.1
Time Pressure 4.1
Work Outcomes and Results of Other Workers 4.0
Physical Proximity 3.9
Health and Safety of Other Workers 3.8
Written Letters and Memos 3.7
Dealing With Unpleasant, Angry, or Discourteous People 3.4
Spend Time Making Repetitive Motions 3.4
Frequency of Decision Making 3.4
Outdoors, Exposed to All Weather Conditions 3.3
Spend Time Walking or Running 3.2
Importance of Being Exact or Accurate 3.1
Level of Competition 3.0
Impact of Decisions on Co-workers or Company Results 2.9
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.9
Conflict Situations 2.8
Exposed to Contaminants 2.8
Spend Time Bending or Twisting Your Body 2.7
Importance of Repeating Same Tasks 2.7
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
In an Enclosed Vehicle or Operate Enclosed Equipment 2.3
Consequence of Error 2.2
Exposed to Very Hot or Cold Temperatures 2.2
Indoors, Not Environmentally Controlled 2.2
Exposed to Disease or Infections 2.0
Spend Time Kneeling, Crouching, Stooping, or Crawling 1.9
Spend Time Sitting 1.8
Exposed to Extremely Bright or Inadequate Lighting Conditions 1.7
Degree of Automation 1.7

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

Education of current workers

Share of people in this occupation at each level of education.

High School Diploma 75.8%
Some College Courses 11.2%
Bachelor's Degree 7.9%
Associate's Degree (or other 2-year degree) 3.3%
Less than a High School Diploma 0.9%
Post-Secondary Certificate 0.9%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Applied Arts and Design 5.2
Visual Arts 3.9
Personal Service 3.4
Physical/Manual Labor 3.2
Sales 3.0
Marketing/Advertising 2.6
Management/Administration 2.3
Office Work 2.1
Culinary Art 2.0

Career interests (Holland / RIASEC)

Realistic 5.1
Artistic 4.5
Conventional 3.9
Enterprising 3.7
Social 2.5

Work styles

Attention to Detail 2.1
Dependability 2.1

Wages & employment

U.S. · annual wages (BLS OEWS)

$27k10th$30k25th$36kMedian$43k75th$49k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
44k202441k2034 (proj.)-5.9% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $27,260
25th percentile $30,200
Median (50th) $36,120
75th percentile $43,420
90th percentile $48,690
People employed 40,160

Industries that employ this occupation

Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.

Industry Workers National median pay
Retail Trade · Sector 36,200 $36,090
Wholesale Trade · Sector 1,450 $34,950
Other Services (except Public Administration) · Sector 770 $43,860
Administrative and Support and Waste Management and Remediation Services · Sector 590 $35,040
Arts, Entertainment, and Recreation · Sector 310 $38,470
Accommodation and Food Services · Sector 270 $45,410
Temporary Help Services · National industry 220 $34,670
Professional, Scientific, and Technical Services · Sector 180 $32,260
Landscaping Services · National industry 180 $32,410
Management of Companies and Enterprises · Sector 150 $40,360
Health Care and Social Assistance · Sector 50 $40,510
Casino Hotels · National industry 50 $50,080

Where this work is most concentrated

Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).

Industry Concentration Workers
Retail Trade · Sector 8.91× 36,200
Wholesale Trade · Sector 0.92× 1,450
Landscaping Services · National industry 0.76× 180
Other Services (except Public Administration) · Sector 0.67× 770
Arts, Entertainment, and Recreation · Sector 0.45× 310
Temporary Help Services · National industry 0.32× 220
Administrative and Support and Waste Management and Remediation Services · Sector 0.25× 590
Management of Companies and Enterprises · Sector 0.21× 150

Part of the Marketing & Sales career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Floral Designers sits at the 44th percentile of AI task-overlap and the 6th percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Floral Designers Packers and Packagers, Hand Painting, Coating, and Decorating Workers Jewelers and Precious Stone and Metal Workers Craft Artists Fabric and Apparel Patternmakers Fashion Designers Interior Designers AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.

What you can do with this

Options the data surfaces for Floral Designers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Skills that travel

Capabilities this work builds that are used across many other occupations.

Paths in

How people typically prepare for this work.

Zoom out

On the global GenAI exposure gradient this work sits around the 16th percentile of 427 international occupations.

Write a report on thisheadline · factoids · citation

Floral Designers show 44th-percentile AI task overlap — and about 5,100 annual U.S. openings

  • Floral Designers rank in the 44th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
  • The occupation is projected to see about 5,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
  • BLS projects employment to be declining (-5.9%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $36,120, across about 40,160 U.S. workers.BLS OEWS (May 2024)
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Floral Designers show 44th-percentile AI task overlap — and about 5,100 annual U.S. openings

• Floral Designers rank in the 44th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE)
• The occupation is projected to see about 5,100 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34)
• BLS projects employment to be declining (-5.9%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $36,120, across about 40,160 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Floral Designers". https://singulariki.com/roles/role-27-1023-00
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.

AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom

Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.

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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Floral Designers." 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; 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/roles/role-27-1023-00

APA

Singulariki. (2026). Floral Designers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-1023-00

BibTeX
@misc{singulariki-role-27-1023-00,
  title  = {Floral Designers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; 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/roles/role-27-1023-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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