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

IS WORK OVER?

27%

AI can already do 27% of this job.

#158 / 623

Food engineer

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.

Task	Share	AI	Points
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
Total	100%		27%

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

IS WORK OVER?

26%

#211 / 623

Last-mile manager

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.

Task	Share	AI	Points
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
Total	100%		26%

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