Automation index

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

A public syllabus and a test come earlier. A jobseeker leaving with a trade does not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#295 / 633

Occupational trainer

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, rubrics and course paperwork. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Teach, tutor and hold the room. Estimate No public source provides a precise figure. This is our estimate.	22%	12%	+2.6
Placements, firms and follow-up. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Assess, diplomas and evidence for the agency. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Mixed group, absences and conflict. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Not leaving someone without the certificate. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		23%

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

IS WORK OVER?

28%

#83 / 633

Data architect

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
Models, lineage and the catalogue. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Pipelines, quality and the data contract. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The analyst who finds nothing and the mess. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Privacy, retention and the field you cannot keep. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The business, shadow IT and not building another lake. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it gets used, and not letting raw data rot. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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