Automation index

How much of a Kitchen fitter’s job can AI already do?

A 3D plan comes earlier. Doors that shut without showing the misalignment do not.

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

Task comparison

IS WORK OVER?

20%

AI can already do 20% of this job.

#458 / 633

Kitchen fitter

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, measures and the module breakdown. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Level, hang and the plinth that will not reach. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Worktop, sink and the edge that chips. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Appliances, openings and the service visit. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the tap change and the extra day. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Doors that shut, and not leaving the misalignment. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		20%

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

IS WORK OVER?

27%

#187 / 633

Switchboard operator

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
Board, destinations and the shift. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
The call, the one who is out and the message. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Emergencies, the anger and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Directory, changes and not putting through wrong. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The peak, the queues and not hanging up. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Put it through, and not hanging up on the one who waits. 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