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Florists

Food Preparation & Servicelowaugment
Projected change (est.): ~-8%
Median Wage (est.): ~$33,320
Employment (est.): ~39K

Overall Exposure

18+6

2025 vs 2023

Theoretical Exposure

30

What AI could do

Observed Exposure

9

What AI actually does

Automation Risk Score

12

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

1827
+9

2025 → 2028 (estimated)

Theoretical Exposure

3042
+12

2025 → 2028 (estimated)

Observed Exposure

915
+6

2025 → 2028 (estimated)

Automation Risk

1218
+6

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Task Breakdown

Design and create floral arrangements for events and occasions
8%β 0
Select and purchase fresh flowers and supplies from wholesalers
25%β 0.5
Consult with customers on flower choices and event themes
15%β 0
Manage inventory and maintain freshness of floral stock
30%β 0.5
Process orders and coordinate delivery logistics
45%β 0.5

About This Occupation

If you work as a Florist, AI has limited impact on your hands-on creative profession. With an automation risk of 12/100 and overall exposure at 18%, this role faces low transformation. The highest-impact area is process orders and coordinate delivery logistics at 45% automation. This is classified as an 'augment' role where AI assists with inventory and ordering. BLS projects -8% decline through 2034. Florists who adopt AI-driven design visualization and e-commerce tools can differentiate their services.

ISCO-08 classification

Unit group 7549ILO official

Craft and Related Workers not Elsewhere Classified

Definition

ILO original text (English)

This group covers craft and trade occupations not classified elsewhere in Major Group 7: Craft and Related Trades Workers. For instance, the group includes those who mould, slice, grind and polish optical lenses and those who arrange flowers for display.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

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Official occupational information

  • ONET27-1023.00

    Floral Designers

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

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Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

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Frequently Asked Questions

With an automation risk score of 12%, Florists has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

Our estimated AI automation risk score for Florists is 12% for 2025. Estimated overall AI exposure is 18%, with 30% theoretical exposure and 9% observed exposure. The estimated risk trend from 2023 to 2025 is +4 points. All of these are model-generated estimates, not measurements.

The tasks with the highest automation potential for Florists are: Process orders and coordinate delivery logistics (45%), Manage inventory and maintain freshness of floral stock (30%), Select and purchase fresh flowers and supplies from wholesalers (25%). These rates are our own estimates of how much of each task current AI systems can handle. They are not measurements and are not taken from any external dataset.

We estimate a -8% employment change for Florists between 2024 and 2034. This is our own estimate, not a figure published by the U.S. Bureau of Labor Statistics. Combined with an estimated overall AI exposure of 18%, this occupation faces both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Florists should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.

Recent AI Impact Changes

Mar 2026: Published evergreen blog post analyzing AI impact on florists with 18% exposure and 12% automation risk.

[Source: AI Changing Work Blog]