Automation index

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

A symbolic calc and a bibliography come earlier. Seeing the pattern, and writing a proof that convinces, do not.

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

Task comparison

IS WORK OVER?

28%

AI can already do 28% of this job.

#108 / 673

Mathematician

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
Symbolic calc, examples and paper search. Estimate No public source provides a precise figure. This is our estimate.	22%	52%	+11.4
Draft proofs and exposés. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Find the argument and the counter-example. Estimate No public source provides a precise figure. This is our estimate.	18%	15%	+2.7
Lecture, teach and argue in seminar. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Peer-review and polish the writing. Estimate No public source provides a precise figure. This is our estimate.	14%	18%	+2.5
Choose the problem that is worth years. Estimate No public source provides a precise figure. This is our estimate.	12%	16%	+1.9
Total	100%		28%

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

IS WORK OVER?

22%

#394 / 673

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. 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