IS WORK OVER?

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

Mathematician

Where the time goes

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.

TaskShareAIPoints
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
Total100%28%

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

Skills and activities

  • Symbolic calc, examples and paper search
  • Draft proofs and exposés
  • Find the argument and the counter-example
  • Lecture, teach and argue in seminar
  • Peer-review and polish the writing
  • Choose the problem that is worth years
  • matematic
  • mathematician

Sources for this job· O*NET 15-2021.00· ESCO/ISCO 2120

Logistics analyst

Where the time goes

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.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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