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?

16%

AI can already do 16% of this job.

#624 / 643

Flight attendant

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. Estimate No public source provides a precise figure. This is our estimate.	16%	30%	+4.8
Cabin service, sales and requests. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Safety, demo and emergency procedure. Estimate No public source provides a precise figure. This is our estimate.	20%	8%	+1.6
Conflict and disruptive-passenger handling. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Care for minors, sick passengers and reduced mobility. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Coordination with cockpit and ground. Estimate No 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

IS WORK OVER?

31%

#33 / 643

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low