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

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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