IS WORK OVER?

Automation index

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

A plant balance and HACCP come earlier. Reformulating so it still tastes like food do not.

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

Task comparison

Food 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
Process, balances and shelf life.
Estimate

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

18%48%+8.6
Plant, pasteurise and the batch that will not set.
Estimate

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

16%22%+3.5
HACCP, labelling and the rules.
Estimate

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

16%36%+5.8
Reformulate, costs and the ingredient supplier.
Estimate

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

16%28%+4.5
Taste, marketing and not lying on the pack.
Estimate

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

18%14%+2.5
That it tastes like food, and not shipping the bad batch.
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

  • food process
  • shelf life
  • HACCP
  • reformulate
  • labelling
  • pasteurise
  • taste prototypes
  • plant balances

Sources for this job· O*NET 17-2021.00· 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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