Automation index

How much of a Plasterboard fitter’s job can AI already do?

A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.

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

Task comparison

IS WORK OVER?

19%

AI can already do 19% of this job.

#514 / 633

Plasterboard fitter

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
Setting-out, tracks and the board cut list. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Studs, boards and the screw to the noggin. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Insulation, joints and hearing the neighbour. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Jointing, corners and the painter behind. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Services, pipe runs and not chopping extra. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Plumb, and not leaving the joint proud. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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

IS WORK OVER?

31%

#31 / 633

Cartographer

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
Sources, OSM, satellite and generalisation. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Symbology, type and visual hierarchy. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Projections, scales and getting the heights right. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Review with the client, the field and the lie in the data. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Print maps, web maps and updates. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Credit, metadata and owning the map. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		31%

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