Automation index

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

A mock-up and a part come earlier. Something that sounds and can be played does not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#411 / 633

Composer

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
Mock-ups, parts and a first arrangement. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Write, orchestrate and review with players. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Director, producer and opening deadlines. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rights, publishers and versions. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Studio, libraries and delivery. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not delivering a score that cannot be played. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		21%

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