IS WORK OVER?

Automation index

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

A balance and a simulation come earlier. Starting a plant and not leaking anything do not.

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

Task comparison

Chemical 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
Balances, simulation and sizing.
Estimate

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

18%48%+8.6
P&IDs, specs and equipment lists.
Estimate

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

16%32%+5.1
Plant, operators and commissioning.
Estimate

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

16%22%+3.5
Safety, HAZOP and discharges.
Estimate

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

16%18%+2.9
Quality, standards and documentation.
Estimate

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

18%16%+2.9
Sign a process that will not explode.
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

  • Balances, simulation and sizing
  • P&IDs, specs and equipment lists
  • Plant, operators and commissioning
  • Safety, HAZOP and discharges
  • Quality, standards and documentation
  • Sign a process that will not explode
  • ingeniero quimico
  • chemical engineer

Sources for this job· O*NET 17-2041.00· ESCO/ISCO 2145

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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