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?
Furniture restorer
19%
AI can already do 19% of this job.
#531 / 633
View rankingFurniture restorer
Where the time goes
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.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Consolidate, glue and the one that opens.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Finish, shellac and the colour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Hardware, upholstery and what is not touched.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The owner, the memory and not leaving it too new.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not overworking the piece, and signing the treatment.EstimateNo 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
Skills and activities
- woodworm
- consolidate wood
- shellac
- hardware
- upholstery
- furniture diagnosis
- glue
- not overwork
Sources for this job· O*NET 51-7021.00· ESCO/ISCO 7522
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
Where the time goes
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514