IS WORK OVER?

Automation index

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

A sampling round comes earlier. Measuring for real without hiding the spike do not.

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

Task comparison

Environmental 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
Sampling, chain and the blank.
Estimate

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

16%40%+6.4
Field, the discharge and the one you cannot see.
Estimate

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

18%14%+2.5
Report, limits and not dressing it.
Estimate

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

16%28%+4.5
Inspection, the firm and holding.
Estimate

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

16%22%+3.5
The council, the complaint and not sitting on the figure.
Estimate

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

18%18%+3.2
Measure for real, and not hiding the spike.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • environmental sampling
  • discharges
  • limits
  • blanks
  • environment reports
  • inspection
  • complaints
  • sample chain

Sources for this job· O*NET 19-4042.00· ESCO/ISCO 3141

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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