IS WORK OVER?

Automation index

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

A sowing calendar comes earlier. A saleable plant that does not drown do not.

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

Task comparison

Nursery grower

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
Sow, water and the calendar.
Estimate

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

16%40%+6.4
Glasshouse, pest and the batch that turns.
Estimate

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

18%14%+2.5
Order, the garden centre and the plant that is not ready.
Estimate

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

16%28%+4.5
Substrate, feed and the one that drowns.
Estimate

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

16%22%+3.5
The heat, the shade and not selling too early.
Estimate

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

18%18%+3.2
Saleable, and not drowning the rootball.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • nursery sowing
  • glasshouse
  • rootball
  • plant pests
  • garden centre
  • substrate
  • watering calendar
  • shade

Sources for this job· O*NET 45-2092.00· ESCO/ISCO 6113

Last-mile 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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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