Automation index

How much of a Teaching assistant’s job can AI already do?

A worksheet and a support note come earlier. Sitting with the one who is stuck does not.

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

Task comparison

IS WORK OVER?

20%

AI can already do 20% of this job.

#451 / 643

Teaching assistant

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
Prepare materials and adaptations. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Support in class, playground and dining hall. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Accompany SEN and small mediation. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Notes to the teacher and incident log. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Stock, copies and classroom order. Estimate No public source provides a precise figure. This is our estimate.	16%	16%	+2.6
Not labelling and not leaving a child alone. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Total	100%		20%

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

IS WORK OVER?

28%

#109 / 643

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. 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