Automation index
How much of a Appliance technician’s job can AI already do?
An error code comes earlier. Diagnosing in someone else’s kitchen and leaving it washing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Appliance technician
22%
AI can already do 22% of this job.
#385 / 633
View rankingAppliance technician
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 |
|---|---|---|---|
Code, history and the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Strip, test and the built-in one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Order the part, second visit and the client who is out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Warranty, misuse and what it does not cover.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The tight kitchen and not marking the unit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Leave it washing, and not swapping the board blind.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- diagnose appliances
- error codes
- strip built-ins
- spares
- warranty
- second visit
- test boards
- service call
Sources for this job· O*NET 49-9031.00· ESCO/ISCO 7412
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