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?
Data engineer
31%
#36 / 633
View rankingData engineer
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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511