IS WORK OVER?

Automation index

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

A delivery note and a route come earlier. Lifting a pallet and not dropping it do not.

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

Task comparison

Forklift operator

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
Notes, locations and picking routes.
Estimate

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

16%32%+5.1
Drive, lift and stack.
Estimate

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

24%8%+1.9
Loads, centres of gravity and aisles.
Estimate

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

16%12%+1.9
Shift, radio and dock.
Estimate

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

16%18%+2.9
Logs, incidents and counts.
Estimate

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

14%22%+3.1
Not hitting anyone or a pallet.
Estimate

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

14%14%+2
Total100%17%

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

Skills and activities

  • Notes, locations and picking routes
  • Drive, lift and stack
  • Loads, centres of gravity and aisles
  • Shift, radio and dock
  • Logs, incidents and counts
  • Not hitting anyone or a pallet
  • carretillero
  • carretilla
  • forklift

Sources for this job· O*NET 53-7051.00· ESCO/ISCO 8344

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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