Automation index

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

A wing pathway comes earlier. Being in the yard so the workshop does not go sideways do not.

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

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#415 / 633

Prison educator

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
Programmes, reports and the treatment board. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Wing, yard and the fight that blows up. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Workshop, studies and the one who shows up. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Family, leave and the note to the lawyer. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The hard inmate and not losing authority. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The bond inside, and it not being paper. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		21%

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