IS WORK OVER?

Automation index

How much of a NGO programme officer’s job can AI already do?

A report and an indicator come earlier. The project existing outside the slide deck do not.

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

Task comparison

NGO programme officer

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
Design, indicators and the report.
Estimate

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

16%48%+7.7
Justify, invoices and the donor.
Estimate

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

16%36%+5.8
Field or neighbourhood and what does not fit the frame.
Estimate

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

18%16%+2.9
Partners, meetings and coordination.
Estimate

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

16%28%+4.5
The surprise, the cut and redoing the timetable.
Estimate

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

18%18%+3.2
That it works, and not inflating the indicator.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • design projects
  • justify to donors
  • indicators
  • activity report
  • coordinate partners
  • timetable
  • project invoices
  • neighbourhood work

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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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