Automation index
How much of a Furniture assembler’s job can AI already do?
A manual comes earlier. A wardrobe that does not wobble and fits up the stairs do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Furniture assembler
19%
AI can already do 19% of this job.
#513 / 633
View rankingFurniture assembler
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 |
|---|---|---|---|
Manual, fittings and the parts count.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Assemble, plumb and the wrong screw.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Up the stairs without marking the wall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Adjust doors, drawers and the client watching.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The small flat and the piece that will not fit whole.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it does not wobble, and not leaving a fitting out.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
- assemble furniture
- fittings
- plumb wardrobes
- adjust doors
- drawers
- up the stairs
- parts count
- screws
Sources for this job· O*NET 51-2092.00· ESCO/ISCO 8219
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