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.
#541 / 643
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?
BI analyst
34%
#18 / 643
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511