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

Train conductor

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
Consist, brakes and the departure sheet.
Estimate

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

16%36%+5.8
Platform, close-up and the one left outside.
Estimate

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

18%12%+2.2
Incidents, Control and the delay.
Estimate

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

16%28%+4.5
Ticket staff, the fare dodger and the clash.
Estimate

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

16%22%+3.5
The line, the points and not leaving early.
Estimate

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

18%18%+3.2
Leave nobody behind, and sign the consist.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • train consist
  • platform close-up
  • departure sheet
  • Control
  • brake check
  • line incidents
  • halts
  • delays

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 8312

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