Will AI replace Floral Designers?
Estimated risk score: 24 out of 100
Very low replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (5 to 43).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 27-1023.00 · Arts, Design, Entertainment, Sports, and Media
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 2 of its 16 rated tasks. In O*NET’s words.
- Inform customers about the care, maintenance, and handling of various flowers and foliage, indoor plants, and other items.
- Perform office and retail service duties, such as keeping financial records, serving customers, answering telephones, selling giftware items, and receiving payment.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 11 of its 16 rated tasks; the first 6 are shown. In O*NET’s words.
- Decorate, or supervise the decoration of, buildings, halls, churches, or other facilities for parties, weddings and other occasions.
- Deliver arrangements to customers, or oversee employees responsible for deliveries.
- Perform general cleaning duties in the store to ensure the shop is clean and tidy.
- Trim material and arrange bouquets, wreaths, terrariums, and other items, using trimmers, shapers, wire, pins, floral tape, foam, and other materials.
- Unpack stock as it comes into the shop.
- Water plants, and cut, condition, and clean flowers and foliage for storage.
What the job is
Design, cut, and arrange live, dried, or artificial flowers and foliage.
Also called: Florist, Floral Clerk, Design Maker, Corsage Maker, Floral Artist, Floral Arranger, Flower Arranger, Flower Designer.
Closest jobs we score by hand
In the same field (Arts, Design, Entertainment, Sports, and Media). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate