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

Clinical research associate

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
Protocol, CRF and the monitoring visit.
Estimate

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

18%48%+8.6
Source, the gap and the one that does not fit.
Estimate

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

16%40%+6.4
Adverse event, the deadline and not delaying.
Estimate

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

16%22%+3.5
Consent, the signature and the one who did not understand.
Estimate

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

16%28%+4.5
The sponsor, the audit and not dressing the figure.
Estimate

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

18%14%+2.5
Audit, and not leaving a made-up figure.
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

  • CRF
  • monitoring
  • adverse events
  • informed consent
  • source data
  • trial audits
  • clinical protocols
  • site visits

Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131

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