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

Train driver

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
Diagrams, notices and train logs.
Estimate

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

16%32%+5.1
Drive, brake and obey signals.
Estimate

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

24%8%+1.9
Incidents, passengers and radio.
Estimate

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

16%18%+2.9
Fitness, fatigue and rules.
Estimate

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

16%22%+3.5
Shunting, depots and couplings.
Estimate

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

14%16%+2.2
Not running a red or a platform.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Diagrams, notices and train logs
  • Drive, brake and obey signals
  • Incidents, passengers and radio
  • Fitness, fatigue and rules
  • Shunting, depots and couplings
  • Not running a red or a platform
  • maquinista
  • train driver
  • conductor de tren

Sources for this job· O*NET 53-4011.00· ESCO/ISCO 8311

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