Automation index
How much of a Plasterboard fitter’s job can AI already do?
A setting-out comes earlier. Partition plumb and not hearing the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Plasterboard fitter
19%
AI can already do 19% of this job.
#524 / 643
View rankingPlasterboard fitter
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 |
|---|---|---|---|
Setting-out, tracks and the board cut list.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Studs, boards and the screw to the noggin.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Insulation, joints and hearing the neighbour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Jointing, corners and the painter behind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Services, pipe runs and not chopping extra.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Plumb, and not leaving the joint proud.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
- fit plasterboard
- set out partitions
- tracks
- jointing
- acoustic insulation
- boards
- corners
- service runs
Sources for this job· O*NET 47-2081.00· ESCO/ISCO 7123
IS WORK OVER?
Prompt engineer
34%
#21 / 643
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512