IS WORK OVER?

Automation index

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

A briefing and a poll cross come earlier. Understanding an electorate does not.

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

Task comparison

Political 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
Briefings, polls and situation notes.
Estimate

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

18%48%+8.6
Data, press archive and comparison.
Estimate

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

16%28%+4.5
Advise, debate and not sell smoke.
Estimate

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

16%22%+3.5
Field, interviews and observation.
Estimate

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

16%18%+2.9
Teaching, papers and outreach.
Estimate

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

18%16%+2.9
Not confusing a headline with a country.
Estimate

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

16%14%+2.2
Total100%25%

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

Skills and activities

  • Briefings, polls and situation notes
  • Data, press archive and comparison
  • Advise, debate and not sell smoke
  • Field, interviews and observation
  • Teaching, papers and outreach
  • Not confusing a headline with a country
  • politologo
  • political scientist

Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2633

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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