IS WORK OVER?

Automation index

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

A discharge model comes earlier. A plant that complies and does not poison the river does not.

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

Task comparison

Environmental engineer

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
Model emissions, discharges and noise.
Estimate

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

18%48%+8.6
Impact studies, permits and specs.
Estimate

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

16%32%+5.1
Field, sampling and treatment plants.
Estimate

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

16%22%+3.5
Authorities, public and objections.
Estimate

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

16%18%+2.9
Rules, reports and monitoring.
Estimate

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

18%16%+2.9
Not dressing an environmental figure.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Model emissions, discharges and noise
  • Impact studies, permits and specs
  • Field, sampling and treatment plants
  • Authorities, public and objections
  • Rules, reports and monitoring
  • Not dressing an environmental figure
  • ingeniero ambiental
  • environmental engineer

Sources for this job· O*NET 17-2081.00· ESCO/ISCO 2143

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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