IS WORK OVER?

Automation index

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

A time-lapse comes earlier. Picking the embryo without mixing the file do not.

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

Task comparison

Embryologist

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
Retrieval, oocytes and the culture.
Estimate

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

16%32%+5.1
ICSI, the sperm and the one that will not fertilise.
Estimate

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

22%8%+1.8
Time-lapse, the grade and picking.
Estimate

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

16%22%+3.5
Transfer, the catheter and not losing the embryo.
Estimate

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

16%28%+4.5
The file, the double check and not mixing couples.
Estimate

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

16%18%+2.9
Pick it, and not mixing the file.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • oocytes
  • ICSI
  • embryo culture
  • time-lapse
  • transfer
  • double check
  • egg retrieval
  • embryo grade

Sources for this job· O*NET 29-2011.00· ESCO/ISCO 2131

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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