Automation index

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

An incident note comes earlier. Being there at night so nobody absconds 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.

#414 / 633

Youth 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
Plan, notes and the young person’s file. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Shift, holding and the attempted abscond. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Workshop, homework and the hour that is not a fight. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Family, youth prosecution and the judge. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Street, leisure and the one who is late back. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The bond, and not losing the kid. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
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