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.

#153 / 633

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?

28%

#105 / 633

Inventory clerk

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
Count, locations and the adjustment. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Floor, the gap and what is in the aisle. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Report, shrink and the reason. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Audit, the auditor and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The peak, the blind count and the stopped warehouse. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Match for real, and not adjusting blind. 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