IS WORK OVER?

Automation index

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

A take-off and a log come earlier. Directing the build and signing the works do not.

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

Task comparison

Building surveyor

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
Quantities, valuations and cost control.
Estimate

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

16%40%+6.4
Working drawings and trade coordination.
Estimate

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

16%28%+4.5
Site, visits and safety.
Estimate

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

18%14%+2.5
Client, contractor and site team.
Estimate

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

16%22%+3.5
Quality, tests and the building book.
Estimate

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

18%16%+2.9
Sign a build that will not fall.
Estimate

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

16%14%+2.2
Total100%22%

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

Skills and activities

  • building plans
  • renders
  • sign a project
  • Quantities, valuations and cost control
  • Working drawings and trade coordination
  • Site, visits and safety
  • Client, contractor and site team
  • Quality, tests and the building book
  • Sign a build that will not fall
  • arquitecto tecnico

Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3112

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
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

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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