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STRATUSWORKFORCE SCAN

Floral Designers

In short: today's best AI models could do about 21% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 79% of the time, stays with people.

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

40,590 people do this job in the US. $37,360 a year.

A typical 40-hour week

Not yet reviewed task by task
  • AI could take on8 h
  • A person checks AI's work0 h
  • Desk work AI can't do yet0 h
  • Stays with people32 h

Floral Designers, now: of a 40-hour week, AI could take on 8 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 32 hours stay with people.

The largest pieces: Plan arrangement according to client's requirements, using knowledge of design and properties of materials, or select appropriate standard design pattern (about 7 h); Order and purchase flowers and supplies from wholesalers and growers (under an hour); Inform customers about the care, maintenance, and handling of various flowers and foliage, indoor plants, and other items (under an hour).

Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.

now
21%

of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Kinds of work
  • 21%
  • 8%
  • 71%
0%

of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.

Half the desk work within reach
Already

On the chosen pace and reliability. Estimate.

Share of the working time within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 21% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

At this date and pace, models finish tasks up to 2.4 work days long four times in five.

How far this has come

With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 19%. Today's estimate: 21%.

0%10%20%30%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 4% within reachGPT-5, August 2025: 6% within reachGemini 3 Pro, November 2025: 9% within reachClaude Opus 4.5, November 2025: 9% within reachGPT-5.2, December 2025: 11% within reachClaude Opus 4.6, February 2026: 11% within reachClaude Mythos Preview (early), April 2026: 19% within reachToday (estimate), November 2026: 21% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Measured use over time

Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.032% went to this job's tasks in May 2026, the 265th largest of the 447 jobs that showed up at all; 2 of its 15 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0029% to none (released February and March 2025); 0.0035% to 0.0039% (August 2025 to February 2026); 0.034% to 0.032% (April to May 2026).

0%0.025%0.05%20252026released February 2025: 0.0029%released March 2025: nonethe week of Aug 4, 2025: 0.0035%the week of Nov 13, 2025: nonethe week of Feb 5, 2026: 0.0039%April 2026: 0.034%May 2026: 0.032%
Each dot is one release's sample. A line joins releases made by the same method; a change of method starts a new line. Point at a dot for its window.
Each release
ConversationsShareRankTasks seen
Released February 20250.0029%659 of 7081 of 15
Released March 2025nonen/a0 of 15
The week of Aug 4, 20250.0035%568 of 6551 of 15
The week of Nov 13, 2025nonen/a0 of 15
The week of Feb 5, 20260.0039%595 of 6772 of 15
April 20260.034%260 of 4342 of 15
May 20260.032%265 of 4472 of 15

Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.

Robots and the physical work

Anthropic rates 68% of this job's working time as physical work. For 26% of the working time, a robot has been shown doing most of the task somewhere: 16% in a purpose-built cell, 9% in a structured facility. 0.35 of 3, the 368th highest of the 923 jobs.

  • Not physical 32%
  • No robot shown 42%
  • In a purpose-built cell 16%
  • In a structured facility 9%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.

The tasks

Sorted by . 15 tasks from .

TaskKind
Trim material and arrange bouquets, wreaths, terrariums, and other items, using trimmers, shapers, wire, pins, floral tape, foam, and other materials.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.19%38 min17 min to 1.7 hStays with people
Select flora and foliage for arrangements, working with numerous combinations to synthesize and develop new creations.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating.19%50 min17 min to 2.5 hStays with people
Plan arrangement according to client's requirements, using knowledge of design and properties of materials, or select appropriate standard design pattern.Done hourly or more by most who do it. 18%38 min13 min to 1.7 h100%Half by now
Confer with clients regarding price and type of arrangement desired and the date, time, and place of delivery.Done hourly or more by most who do it. 8%17 min8 min to 38 minStays with people
Perform office and retail service duties, such as keeping financial records, serving customers, answering telephones, selling giftware items, and receiving payment.Done hourly or more by most who do it. 8%25 min8 min to 50 minStays with people
Deliver arrangements to customers, or oversee employees responsible for deliveries.Done hourly or more by most who do it. Robots: in a structured facility, Starship delivery robot (deployed). Anthropic's rating.8%29 min13 min to 1.3 hStays with people
Perform general cleaning duties in the store to ensure the shop is clean and tidy.Done daily by most who do it. Robots: in a structured facility, Pudu CC1 / CC1 Pro (deployed). Anthropic's rating.4%25 min13 min to 50 minStays with people
Decorate, or supervise the decoration of, buildings, halls, churches, or other facilities for parties, weddings and other occasions.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating.3%2.5 h50 min to 6.7 hStays with people
Wrap and price completed arrangements.Done several times a day by most who do it. Robots: in a purpose-built cell, Terra pot plant sleeve machine (sold). Anthropic's rating.3%8 min4 min to 17 minStays with people
Water plants, and cut, condition, and clean flowers and foliage for storage.Done daily by most who do it. Robots: in a purpose-built cell, Bercomex RoseMatic rose processing system (sold). Anthropic's rating.3%38 min13 min to 1.7 hStays with people
Conduct classes or demonstrations, or train other workers.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating.3%1.3 h38 min to 2.5 hStays with people
Unpack stock as it comes into the shop.Done more than weekly by most who do it. Robots: in a purpose-built cell, FlowerCollector (DERO/FLC*100F) (sold). Anthropic's rating.2%25 min13 min to 1.3 hStays with people

Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.

Jobs that share skills with this one

From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.

Questions about this job

How much of the work of Floral Designers is within reach of AI now?
An estimated 21% of the working time is within reach of AI models now and 21% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which tasks of Floral Designers come within reach first?
Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Plan arrangement according to client's requirements, using knowledge of design and properties of materials, or select appropriate standard design pattern (100% of the task's time now); Order and purchase flowers and supplies from wholesalers and growers (100% of the task's time now); and Inform customers about the care, maintenance, and handling of various flowers and foliage, indoor plants, and other items (100% of the task's time now).
Which tasks of Floral Designers stay with people?
Tasks that are people work or body work are not counted as within reach at any date. The largest: Trim material and arrange bouquets, wreaths, terrariums, and other items, using trimmers, shapers, wire, pins, floral tape, foam, and other materials; Select flora and foliage for arrangements, working with numerous combinations to synthesize and develop new creations; and Confer with clients regarding price and type of arrangement desired and the date, time, and place of delivery. Together such tasks are about 79% of the working time.
Do people already use AI for the work of Floral Designers?
In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.032% went to this job's tasks, the 265th largest share of the 447 jobs that showed up; 2 of its 15 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
Can robots do the physical work of Floral Designers?
Anthropic's robot exposure rating (September 2026) finds 68% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 26% of the working time, 9% in a structured facility. Its index is 0.35 of 3. One example: Starship delivery robot for "deliver arrangements to customers, or oversee employees responsible for deliveries". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
How is this estimated?
From the 15 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.

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The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.

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