IS WORK OVER?

Automation index

How much of a Cycle courier’s job can AI already do?

A job app comes earlier. Crossing the city and delivering it whole do not.

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

Task comparison

Cycle courier

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
App, routes and the urgent job.
Estimate

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

16%36%+5.8
Pedal, traffic and not losing the parcel.
Estimate

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

22%8%+1.8
Lobby, the code and the one who will not come down.
Estimate

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

16%22%+3.5
Rain, puncture and the job that drops.
Estimate

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

16%28%+4.5
The platform, the fee and the one that does not pay time.
Estimate

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

16%18%+2.9
Deliver it whole, and not leaving it on the landing blind.
Estimate

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

14%12%+1.7
Total100%20%

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

Skills and activities

  • cycle courier
  • urgent jobs
  • lobbies
  • punctures
  • courier app
  • city traffic
  • platform fees
  • not lose the parcel

Sources for this job· O*NET 43-5021.00· ESCO/ISCO 8321

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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