IS WORK OVER?

Automation index

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

A teleprompter and a briefing write themselves. Holding a live show when the guest collapses does not.

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

Task comparison

TV presenter

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
Prep script, guest sheets and rundown.
Estimate

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

18%38%+6.8
Social promo and pre-taped pieces.
Estimate

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

16%28%+4.5
Host the live show or the recording.
Estimate

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

22%8%+1.8
Improvise, cut and save a gag.
Estimate

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

16%12%+1.9
Rehearse with gallery and floor.
Estimate

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

14%14%+2
Public image, interviews and personal brand.
Estimate

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

14%16%+2.2
Total100%19%

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

Skills and activities

  • Prep script, guest sheets and rundown
  • Social promo and pre-taped pieces
  • Host the live show or the recording
  • Improvise, cut and save a gag
  • Rehearse with gallery and floor
  • presentador
  • tv host
  • locutor de television

Sources for this job· O*NET 27-3011.00· ESCO/ISCO 2656

Olive-oil miller

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
Intake, yield and the mill log.
Estimate

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

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

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

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

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

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

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

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

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

18%18%+3.2
Cold for real, and not painting the yield.
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

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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