Automation index

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

A backing track and a score generate. Playing live, tuning to a room, and lasting a concert do 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.

#429 / 633

Musician

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
Compose, arrange and produce demos. Estimate No public source provides a precise figure. This is our estimate.	18%	42%	+7.6
Scores, desk rehearsal and setlists. Estimate No public source provides a precise figure. This is our estimate.	16%	30%	+4.8
Play in concert, session or pit. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Rehearse with the band and lock the live show. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Contracts, touring and promotion. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Lessons, commissions and keeping the instrument. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
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