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

Hotel concierge

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
Bookings, maps and recommendations.
Estimate

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

16%40%+6.4
Desk, bags and difficult guests.
Estimate

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

20%12%+2.4
Restaurants, tickets and transport.
Estimate

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

16%22%+3.5
Logs, shifts and front-desk coordination.
Estimate

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

16%28%+4.5
Neighbourhood, vendors and errands.
Estimate

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

16%16%+2.6
Not leaving a guest stranded at two in the morning.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • Bookings, maps and recommendations
  • Desk, bags and difficult guests
  • Restaurants, tickets and transport
  • Logs, shifts and front-desk coordination
  • Neighbourhood, vendors and errands
  • conserje
  • concierge
  • portero de hotel

Sources for this job· O*NET 43-4081.00· ESCO/ISCO 4224

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