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?

27%

#187 / 623

Switchboard operator

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
Board, destinations and the shift. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
The call, the one who is out and the message. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Emergencies, the anger and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Directory, changes and not putting through wrong. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The peak, the queues and not hanging up. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Put it through, and not hanging up on the one who waits. 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