Automation index

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

A measure and a motor come earlier. Leaving the shutter running true 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.

#501 / 633

Shutter 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, order and the box that will not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Box, axle and the motor in the opening. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Tape, slats and the one that derails. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Program the remote and the limit. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The neighbour, the inner courtyard and not scratching the frame. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it runs true, and not leaving a lame box. 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?

34%

#21 / 633

Prompt engineer

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 prompts, tools and chains. Estimate No public source provides a precise figure. This is our estimate.	24%	58%	+13.9
Evals, datasets and regressions. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Integrate with product and safety limits. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Talk to the business about a good output. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Watch hallucinations, bias and cost. Estimate No public source provides a precise figure. This is our estimate.	14%	20%	+2.8
Decide what the model gets, and what it does not. Estimate No public source provides a precise figure. This is our estimate.	12%	16%	+1.9
Total	100%		34%

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