IS WORK OVER?

Automation index

How much of a Fibre technician’s job can AI already do?

An OTDR comes earlier. Splicing in the chamber so the customer can browse do not.

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

Task comparison

Fibre technician

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
Route, OTDR and the splice log.
Estimate

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

16%40%+6.4
Chamber, splice and the fibre that breaks.
Estimate

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

18%12%+2.2
CTO, drop and the customer who sees no light.
Estimate

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

16%28%+4.5
Pole, façade and the missing permit.
Estimate

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

16%22%+3.5
Rain, the cover and not leaving the chamber open.
Estimate

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

18%18%+3.2
That they can browse, and not leaving a dirty splice.
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

  • splice fibre
  • OTDR
  • chambers
  • CTO
  • drops
  • fibre strands
  • poles
  • splice logs

Sources for this job· O*NET 49-2022.00· ESCO/ISCO 7422

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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