IS WORK OVER?

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

Musician

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.

TaskShareAIPoints
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
Total100%21%

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

Skills and activities

  • Compose, arrange and produce demos
  • Scores, desk rehearsal and setlists
  • Play in concert, session or pit
  • Contracts, touring and promotion
  • musico
  • musician
  • instrumentista
  • concertista

Sources for this job· O*NET 27-2042.00· ESCO/ISCO 2652

Last-mile manager

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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No public source provides a precise figure. This is our estimate.

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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