Automation index

How much of a E-learning trainer’s job can AI already do?

A SCORM course comes earlier. Someone learning without dropping at module three do not.

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

Task comparison

IS WORK OVER?

27%

AI can already do 27% of this job.

#154 / 643

E-learning 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
Script, SCORM and the platform. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Tutoring, the forum and the one who vanishes. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Assess, copying and the one who does not log in. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Design, the video and not drowning in text. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the deadline and not delivering a dressed-up PDF. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they learn, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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

IS WORK OVER?

22%

#336 / 643

Dosimetrist

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
CT, contours and the plan. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Organ at risk, the curve and not overshooting. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Physics, the check and the one that does not fit. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fraction, the setup and the patient who is not the same. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The oncologist, the trade-off and not signing blind. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The tumour gets it, and the healthy organ does not. 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