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.
#523 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120