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

Strength and conditioning 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
Load, GPS and the microcycle.
Estimate

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

16%40%+6.4
Gym, the pattern and the one who cheats.
Estimate

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

18%14%+2.5
Rehab, the injured and not rushing the return.
Estimate

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

16%28%+4.5
Report, the manager and the fight over minutes.
Estimate

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

16%22%+3.5
The peak, pre-season and not grinding them.
Estimate

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

18%18%+3.2
Ready, and not broken.
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

  • load
  • training GPS
  • microcycles
  • rehab
  • movement pattern
  • pre-season
  • reports to the manager
  • the gym

Sources for this job· O*NET 29-9091.00· ESCO/ISCO 3423

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