IS WORK OVER?

Automation index

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

A speech engine comes earlier. Leaving a faithful text without inventing do not.

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

Task comparison

Transcriber

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
Audio, markers and the shift.
Estimate

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

18%48%+8.6
Transcribe, the one who mumbles and the name.
Estimate

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

16%40%+6.4
Check, timestamps and not inventing.
Estimate

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

16%22%+3.5
Deadline, the urgent and not delivering dirty.
Estimate

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

16%28%+4.5
Confidentiality, the hearing and not leaking.
Estimate

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

18%14%+2.5
Faithful text, and not inventing.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • transcribe audio
  • timestamps
  • proper names
  • mumbles
  • transcription deadlines
  • confidentiality
  • markers
  • review

Sources for this job· O*NET 43-9022.00· ESCO/ISCO 4131

School sports coach

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
Session, the kit and the group.
Estimate

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

16%40%+6.4
Pitch, the one who never gets the ball and the one who humiliates.
Estimate

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

18%14%+2.5
Injury, the protocol and calling home.
Estimate

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

16%28%+4.5
Match, the score and not shouting at a child.
Estimate

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

16%22%+3.5
The parent, the bench and not yielding.
Estimate

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

18%18%+3.2
That they all play, and not just the chair's child.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • school sessions
  • minute rotation
  • injury protocol
  • parents on the bench
  • not shout at children
  • kit
  • matches
  • inclusion

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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