Automation index

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

An industrial recipe comes earlier. Coming out safe and tasting like food do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#397 / 633

Food technologist

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
Recipe, process and shelf life. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Plant, the batch and the one that will not set. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
HACCP, labelling and not lying. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Taste, marketing and not disguising. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The supplier, the ingredient and not swapping blind. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Safe, and tasting like food. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

25%

#230 / 633

Biomedical 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
Design, validate and document clinical devices and software. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tests, MDR and risk. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Hospital, clinicians and maintenance. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Vendors, quality and traceability. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
User training and post-market watch. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Not putting a half-built prototype in theatre. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		25%

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