Automation index
How much of a Flight attendant’s job can AI already do?
Briefing and inventory get lighter. Getting 180 people off a burning aircraft, and calming a passenger, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Flight attendant
16%
AI can already do 16% of this job.
#624 / 643
View rankingFlight attendant
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 |
|---|---|---|---|
Briefing, cabin inventory and flight reports.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cabin service, sales and requests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Safety, demo and emergency procedure.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 8% | +1.6 |
Conflict and disruptive-passenger handling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 10% | +1.6 |
Care for minors, sick passengers and reduced mobility.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Coordination with cockpit and ground.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 16% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Cabin service, sales and requests
- Safety, demo and emergency procedure
- Conflict and disruptive-passenger handling
- Coordination with cockpit and ground
- azafata
- auxiliar de vuelo
- tripulante de cabina
- flight attendant
- tcp
Sources for this job· O*NET 53-2031.00· ESCO/ISCO 5111
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