Automation index

How much of a Aluminium carpenter’s job can AI already do?

A cutting list comes earlier. A tight close without the glass sweating do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#417 / 643

Aluminium carpenter

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
Measure, cutting list and the profile cut. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Assemble, squares and the frame in the opening. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Glass, beads and the one that does not seal. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Fittings, tilt-and-turn and the fine adjust. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dirty site and not scratching the anodising. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
A tight close, and not leaving water in. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		21%

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

IS WORK OVER?

24%

#262 / 643

Agile coach

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
Boards, metrics and the cadence design. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The real retro and the elephant in the room. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Train, unblock and the manager who will not let go. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Scale, dependencies and fake agile. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Conflict, power and not selling extra frameworks. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they stop faking it, and not inflating velocity. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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