Automation index
How much of a Hydrogen technician’s job can AI already do?
An ATEX protocol comes earlier. Working with H2 without leaving a leak do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Hydrogen technician
19%
AI can already do 19% of this job.
#539 / 633
View rankingHydrogen 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 |
|---|---|---|---|
ATEX, purge and the log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Electrolyser, the stack and the one that drops.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Leak, detector and stopping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Charge, the tube and not mixing with air.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the station and not skipping the purge.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
No leak, and the protocol done.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
- ATEX
- purge
- electrolyser
- H2 detectors
- stacks
- hydrogen stations
- leaks
- mix with air
Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149
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