IS WORK OVER?

Automation index

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

A paper and a figure come earlier. Choosing the question, and convincing a reviewer, do not.

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

Task comparison

Research scientist

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
Literature review, figures and drafts.
Estimate

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

22%48%+10.6
Analysis, code and experiment boards.
Estimate

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

18%42%+7.6
Design the study and the controls.
Estimate

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

16%18%+2.9
Run the experiment or the fieldwork.
Estimate

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

16%12%+1.9
Lead a group, theses and authorship fights.
Estimate

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

14%15%+2.1
Win funding and answer reviewers.
Estimate

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

14%16%+2.2
Total100%27%

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

Skills and activities

  • Literature review, figures and drafts
  • Analysis, code and experiment boards
  • Design the study and the controls
  • Run the experiment or the fieldwork
  • Lead a group, theses and authorship fights
  • Win funding and answer reviewers
  • cientifico
  • investigador
  • research scientist

Sources for this job· O*NET 19-1029.00· ESCO/ISCO 2131

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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