Automation index

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

A woodworm diagnosis comes earlier. Treating without overworking the piece 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.

#531 / 633

Furniture restorer

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
Diagnosis, woodworm and the proposal. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Consolidate, glue and the one that opens. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Finish, shellac and the colour. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Hardware, upholstery and what is not touched. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The owner, the memory and not leaving it too new. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not overworking the piece, and signing the treatment. 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?

25%

#230 / 633

Biomedical 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, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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