IS WORK OVER?

Automation index

How much of a Florist’s job can AI already do?

An order and a moodboard come earlier. A bouquet that holds and does not drop does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Florist

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Orders, suppliers and a first design.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Compose, tie and condition.
Estimate

No public source provides a precise figure. This is our estimate.

22%10%+2.2
Weddings, funerals and difficult clients.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Shop, window and waste.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Cold room, water and the flower calendar.
Estimate

No public source provides a precise figure. This is our estimate.

16%16%+2.6
Not delivering a bouquet that dies tomorrow.
Estimate

No public source provides a precise figure. This is our estimate.

14%14%+2
Total100%18%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • Orders, suppliers and a first design
  • Compose, tie and condition
  • Weddings, funerals and difficult clients
  • Shop, window and waste
  • Cold room, water and the flower calendar
  • florista
  • florist

Sources for this job· O*NET 27-1023.00· ESCO/ISCO 7549

Cabin manager

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Briefing, door assignment and the log.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
Cabin, the difficult passenger and turbulence.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Service, allergies and the one who is ill.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Safety, the demo and the kit.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Delay, overbooking and the one who will not sit.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Evacuate for real, and sign the cabin.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%20%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • cabin briefing
  • assign doors
  • difficult passenger
  • safety demo
  • onboard allergies
  • overbooking
  • evacuate
  • turbulence

Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111

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