IS WORK OVER?

Automation index

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

A form comes earlier. Justifying without giving the money back do not.

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

Task comparison

Grants officer

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
Call, form and the deadline.
Estimate

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

18%48%+8.6
Report, indicators and not inflating.
Estimate

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

16%40%+6.4
Justify, invoices and the one that does not fit.
Estimate

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

16%22%+3.5
Query, the silence and answering.
Estimate

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

16%28%+4.5
The project, the cut and not promising extra.
Estimate

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

18%14%+2.5
Justify, and not giving it back.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • calls
  • forms
  • reports
  • justify invoices
  • indicators
  • queries
  • grant deadlines
  • clawbacks

Sources for this job· O*NET 13-1131.00· ESCO/ISCO 2422

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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