IS WORK OVER?

Automation index

How much of a Office manager’s job can AI already do?

An office inventory comes earlier. The house working without running out of paper do not.

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

Task comparison

Office manager

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
Vendors, contracts and the inventory.
Estimate

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

18%48%+8.6
Facilities, the air-con and the one who is late.
Estimate

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

16%40%+6.4
Onboarding, keys and the desk.
Estimate

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

16%22%+3.5
Budget, the extra and not overspending.
Estimate

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

16%28%+4.5
Management, the surprise and not leaving the office dark.
Estimate

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

18%14%+2.5
That it works, and not running out of paper.
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

  • office inventory
  • facilities
  • onboarding
  • vendor contracts
  • keys
  • desks
  • office budget
  • air-con

Sources for this job· O*NET 11-3012.00· ESCO/ISCO 1219

Criminologist

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
Data, maps and the victimisation report.
Estimate

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

18%48%+8.6
Profiles, reoffending and programme evaluation.
Estimate

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

16%40%+6.4
Field, interviews and what the spreadsheet misses.
Estimate

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

18%18%+3.2
Police, judges and the measure under debate.
Estimate

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

16%28%+4.5
Prevention, the neighbourhood and the programme that does not fit.
Estimate

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

16%22%+3.5
The opinion, and not selling magic recipes.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • crime maps
  • study reoffending
  • victimisation
  • evaluate programmes
  • situational prevention
  • criminological profiles
  • reports for judges
  • fieldwork

Sources for this job· O*NET 19-3041.00· ESCO/ISCO 2632

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