Automation index

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

A market order comes earlier. Picking the fish so it smells of sea, not fridge, 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.

#363 / 633

Fishmonger

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
Order, market and what arrives fresh. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Clean, portion and the cut the customer wants. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Counter, advice and the one who cannot cook it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Cold, ice and the piece that turns. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Christmas, the order and not running out of hake. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Smell of sea, and not selling yesterday as today. 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