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Retail

Florist

Based on 10 assessments · 1 from real users

15% Low risk

Average realistic automation risk across all Florist profiles in the dataset.

Raw potential
29%
Realistic risk
15%
Research benchmark ?
7%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Florists score between 9% and 19%.

0% 50% 100%
p10 · 8%
20% · p90
On-screen work 11%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 13%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 24%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 51%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Florist, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Arranging cut flowers into bouquets and centerpieces based on customer requests, seasonal availability, and design principles
deep expertise social element
27% DA 4%
Managing orders for events (weddings, corporate functions, funerals); coordinating timing, delivery logistics, and special requests
some context needed
23% AD 14%
Receiving, unpacking, and conditioning fresh flowers and plants; trimming stems, removing wilted blooms, and managing inventory
19% AA 5%
Maintaining shop displays, restocking shelves, cleaning work areas, and ensuring plants and flowers are hydrated and fresh-looking
19% AA 10%
Greeting customers, listening to their occasion and preferences, making design recommendations, and taking custom orders
deep expertise
9% AA 0%
Processing transactions, handling payments, wrapping arrangements, and managing point-of-sale operations
0% DD 71%

Work as a Florist? Map your specific role.

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