Automation index

How much of a Insulation installer’s job can AI already do?

A thickness calc comes earlier. No thermal bridge and a liveable house do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#318 / 633

Insulation installer

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, thicknesses and the panel list. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Fit, seal and the bridge you leave. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Roof, façade and the wind on the scaffold. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Barriers, vapour and condensation. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
The designer, the change and late material. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
No bridge, and not crushing the insulation. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

17%

#588 / 633

Air traffic controller

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
Plan sequences and read traffic forecasts. Estimate No public source provides a precise figure. This is our estimate.	18%	32%	+5.8
Strips, tickets and inter-unit coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Tactical control of aircraft on frequency. Estimate No public source provides a precise figure. This is our estimate.	22%	6%	+1.3
Resolve conflicts, radio failures and weather. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Train and supervise a controller under instruction. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Reports, incidents and shift fatigue. Estimate No public source provides a precise figure. This is our estimate.	14%	15%	+2.1
Total	100%		17%

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