IS WORK OVER?

Automation index

How much of a Inventory clerk’s job can AI already do?

A cycle count comes earlier. Matching what is there to what the system says do not.

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

Task comparison

Inventory clerk

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
Count, locations and the adjustment.
Estimate

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

18%52%+9.4
Floor, the gap and what is in the aisle.
Estimate

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

16%22%+3.5
Report, shrink and the reason.
Estimate

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

16%36%+5.8
Audit, the auditor and not dressing it.
Estimate

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

16%28%+4.5
The peak, the blind count and the stopped warehouse.
Estimate

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

18%14%+2.5
Match for real, and not adjusting blind.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • cycle count
  • adjust stock
  • locations
  • shrink
  • blind count
  • stock audit
  • gaps
  • variance reasons

Sources for this job· O*NET 43-5081.00· ESCO/ISCO 4321

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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