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

IS WORK OVER?

26%

AI can already do 26% of this job.

#213 / 633

NGO programme officer

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.

Task	Share	AI	Points
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
Total	100%		26%

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

IS WORK OVER?

28%

#109 / 633

BIM modeller

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.

Task	Share	AI	Points
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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