Automation index
How much of a Kitchen fitter’s job can AI already do?
A 3D plan comes earlier. Doors that shut without showing the misalignment do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Kitchen fitter
20%
AI can already do 20% of this job.
#458 / 633
View rankingKitchen 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 |
|---|---|---|---|
Plan, measures and the module breakdown.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Level, hang and the plinth that will not reach.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Worktop, sink and the edge that chips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Appliances, openings and the service visit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the tap change and the extra day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Doors that shut, and not leaving the misalignment.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit kitchens
- level modules
- worktops
- hang units
- plinths
- appliance housings
- sinks
- breakdown
Sources for this job· O*NET 47-2031.00· ESCO/ISCO 7115
IS WORK OVER?
Prompt engineer
34%
#21 / 633
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