Automation index

How much of a Aerospace engineer’s job can AI already do?

A calculation and a model come earlier. Signing a part that actually flies does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

25%

AI can already do 25% of this job.

#228 / 633

Aerospace engineer

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
Calculate, simulate and certify structures and systems. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Drawings, tolerances and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Bench, test flight and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and EASA. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Documentation, versions and configuration. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Sign something that will not fall. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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

IS WORK OVER?

31%

#33 / 633

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