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

Acoustics engineer

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
Reading, the map and the standard.
Estimate

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

18%48%+8.6
Works, the insulation and what was not put in.
Estimate

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

16%40%+6.4
Simulation, the model and not trusting it alone.
Estimate

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

16%22%+3.5
Report, the neighbour and not softening the dB.
Estimate

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

16%28%+4.5
The council, the licence and not dressing it.
Estimate

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

18%14%+2.5
Bring it down for real, and not selling the miracle panel.
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

  • noise maps
  • insulation
  • dB
  • acoustic simulations
  • standards
  • licences
  • neighbours
  • field readings

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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