IS WORK OVER?

Automation index

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

A curriculum design and a report come earlier. Actually changing a school does not.

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

Task comparison

Education specialist

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
Design schemes, rubrics and assessments.
Estimate

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

18%48%+8.6
Reports, diagnoses and school plans.
Estimate

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

16%28%+4.5
Train staff and accompany teams.
Estimate

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

16%22%+3.5
Observe class and feed back with care.
Estimate

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

16%18%+2.9
Families, inspectorate and EU projects.
Estimate

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

18%16%+2.9
Not selling pedagogical fashion without a classroom.
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

  • Design schemes, rubrics and assessments
  • Reports, diagnoses and school plans
  • Train staff and accompany teams
  • Observe class and feed back with care
  • Families, inspectorate and EU projects
  • pedagogo
  • pedagoga
  • education specialist

Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351

Materials engineer

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
Tests, metallography and the spec.
Estimate

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

18%48%+8.6
Shop, heat treatment and the part that fails spec.
Estimate

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

16%22%+3.5
Material choice, corrosion and fatigue.
Estimate

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

16%36%+5.8
Supplier, certificates and the doubtful batch.
Estimate

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

16%28%+4.5
The field failure and the root cause.
Estimate

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

18%14%+2.5
That it does not fail, and not swapping the material blind.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • materials tests
  • metallography
  • choose alloys
  • corrosion
  • fatigue
  • heat treatment
  • failure analysis
  • batch certificates

Sources for this job· O*NET 17-2131.00· ESCO/ISCO 2149

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