IS WORK OVER?

Automation index

How much of a Aid worker’s job can AI already do?

A logframe comes earlier. Being there when it goes wrong, and doing no harm, do not.

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

Task comparison

Aid worker

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
Forms, logframe and the indicators.
Estimate

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

16%44%+7
The field, local partners and what the spreadsheet misses.
Estimate

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

18%14%+2.5
Donor reports and the paperwork.
Estimate

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

16%32%+5.1
Security, evacuation and the call to stay.
Estimate

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

16%22%+3.5
Community, conflict and not replacing the local.
Estimate

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

18%18%+3.2
Do no harm and owning the project.
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

  • logframe
  • field work
  • justify projects
  • local partners
  • mission security
  • aid indicators
  • donor reports
  • do no harm

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635

Parking attendant

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
Barriers, tickets and the count.
Estimate

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

16%40%+6.4
The one who cannot find the car and the one who will not pay.
Estimate

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

18%14%+2.5
Incidents, the down barrier and the jam.
Estimate

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

16%28%+4.5
Shift, cash and cashing up.
Estimate

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

16%32%+5.1
The event, the full house and not blocking the street.
Estimate

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

18%18%+3.2
Run the car park, and not wrecking the lost-ticket person.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • barriers
  • parking tickets
  • space count
  • cashing up
  • stuck barrier
  • events
  • lost cars
  • exit jam

Sources for this job· O*NET 33-9091.00· ESCO/ISCO 5414

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