IS WORK OVER?

Automation index

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

An agreement and a card come earlier. Placing someone nobody calls, and them lasting the month, do not.

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

Task comparison

Job insertion 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
Employer prospecting and the agreements.
Estimate

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

16%40%+6.4
Go with them to the job and the first day.
Estimate

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

18%18%+3.2
Follow-up, incidents and the one who quits.
Estimate

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

16%32%+5.1
Reports, indicators and justifying the grant.
Estimate

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

16%28%+4.5
The hard candidate and the employer who pulls out.
Estimate

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

18%14%+2.5
That they stay, and not dressing the figure.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • prospect employers
  • place candidates
  • follow up in post
  • insertion agreements
  • justify grants
  • job accompaniment
  • workplace incidents
  • insertion indicators

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2423

Cartographer

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
Sources, OSM, satellite and generalisation.
Estimate

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

18%52%+9.4
Symbology, type and visual hierarchy.
Estimate

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

16%48%+7.7
Projections, scales and getting the heights right.
Estimate

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

16%28%+4.5
Review with the client, the field and the lie in the data.
Estimate

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

18%18%+3.2
Print maps, web maps and updates.
Estimate

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

16%22%+3.5
Credit, metadata and owning the map.
Estimate

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

16%14%+2.2
Total100%31%

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

Skills and activities

  • make maps
  • generalise cartography
  • symbology
  • choose projection
  • visual hierarchy
  • update OSM
  • web maps
  • maps that do not lie

Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165

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