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

Geomatics engineer

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
Station, the base and the cloud.
Estimate

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

16%40%+6.4
Field, the axis and the one that moved.
Estimate

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

18%14%+2.5
Model, the drift and not hiding metres.
Estimate

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

16%28%+4.5
Works, the setting-out and going down to see it.
Estimate

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

16%22%+3.5
The contractor, the rush and not signing the drift.
Estimate

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

18%18%+3.2
That the axis is there, and not signing metres.
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

  • point clouds
  • total stations
  • axes
  • setting-out
  • drift
  • bases
  • geomatics
  • the field

Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165

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