IS WORK OVER?

Automation index

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

An inventory and a plan come earlier. Marking a forest and not letting it burn do not.

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

Task comparison

Forestry 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
Inventory, GIS and management plans.
Estimate

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

16%40%+6.4
Projects, felling and replanting.
Estimate

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

16%28%+4.5
Forest, fire and pests.
Estimate

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

18%14%+2.5
Authorities, hunters and neighbours.
Estimate

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

16%22%+3.5
Biodiversity, tracks and water.
Estimate

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

18%16%+2.9
Not signing a cut that leaves the forest empty.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Inventory, GIS and management plans
  • Projects, felling and replanting
  • Forest, fire and pests
  • Authorities, hunters and neighbours
  • Biodiversity, tracks and water
  • ingeniero forestal
  • forestry engineer

Sources for this job· O*NET 19-1032.00· ESCO/ISCO 2132

Strength and conditioning 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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
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

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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