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

Front-end developer

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
Component, states and the design.
Estimate

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

18%48%+8.6
Accessible, the keyboard and the reader.
Estimate

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

16%40%+6.4
Contrast, the token and not leaving it dead.
Estimate

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

16%22%+3.5
Performance, the weight and not adding the extra library.
Estimate

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

16%28%+4.5
The designer, the pixel and not fighting for sport.
Estimate

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

18%14%+2.5
That it works from the keyboard, and not leaving the contrast.
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

  • components
  • accessibility
  • keyboard
  • contrast
  • tokens
  • front-end performance
  • libraries
  • write interface

Sources for this job· O*NET 15-1254.00· ESCO/ISCO 2513

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