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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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