Automation index

How much of a Furniture assembler’s job can AI already do?

A manual comes earlier. A wardrobe that does not wobble and fits up the stairs 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.

#629 / 763

Furniture assembler

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
Manual, fittings and the parts count. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Assemble, plumb and the wrong screw. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Up the stairs without marking the wall. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Adjust doors, drawers and the client watching. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The small flat and the piece that will not fit whole. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
That it does not wobble, and not leaving a fitting out. 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?

22%

#401 / 763

Facilities 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
CMMS, tickets and the PPM. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Roof, the chiller and the one that will not start. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Generator, the diesel and not leaving it dry. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fire, the pump and the monthly test. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The tenant, August and not jumping to a yes. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That cooling does not die, and not leaving the generator dry. 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