IS WORK OVER?

Automation index

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

A log and an SOP come earlier. Line pace, a jam, and 2 a.m. do not.

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

Task comparison

Factory 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
Logs, SOPs and quality records.
Estimate

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

16%38%+6.1
Read orders and line screens.
Estimate

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

14%32%+4.5
Feed, run and unjam the line.
Estimate

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

22%18%+4
Changeover and tool cleaning.
Estimate

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

16%22%+3.5
In-station quality and stopping a defect.
Estimate

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

16%20%+3.2
Shifts, safety and coworkers.
Estimate

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

16%16%+2.6
Total100%24%

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

Skills and activities

  • Logs, SOPs and quality records
  • Read orders and line screens
  • Feed, run and unjam the line
  • Changeover and tool cleaning
  • In-station quality and stopping a defect
  • Shifts, safety and coworkers
  • operario de fabrica
  • factory operator
  • linea de produccion

Sources for this job· O*NET 51-2099.00· ESCO/ISCO 8211

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

Analyse my job

Jobs with similar scores

  1. 273Internist24%
  2. 274Neurologist24%
  3. 275CNC machinist24%
  4. 277Landscape architect24%
  5. 278University professor24%
  6. 279Judicial secretary24%