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.

#523 / 643

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?

27%

#162 / 643

Energy 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
Energy audit, curves and the saving potential. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Contracts, tariffs and the power market. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Plant, meters and what the meter misses. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Efficiency projects and the real payback. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The board, the CAPEX and the no to the project. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Save for real, and not selling green smoke. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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