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.

#160 / 653

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?

19%

#557 / 653

Sterile processing technician

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
Intake, the dirty and the count. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Wash, the ultrasonic and what is left. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Pack, the indicator and the set. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Autoclave, the load and the cycle that fails. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Theatre, the rush and not sending a wet set. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Truly sterile, and not mixing the dirty. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		19%

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