IS WORK OVER?

Automation index

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

A drill and a correction come earlier. Getting a shy person talking for an hour does not.

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

Task comparison

Language teacher

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
Prepare lessons, worksheets and corrections.
Estimate

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

16%48%+7.7
Class, conversation and group dynamics.
Estimate

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

22%12%+2.6
Assess speaking, writing and levels.
Estimate

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

16%22%+3.5
Platform, homework and follow-up.
Estimate

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

16%28%+4.5
Families, schools and official exams.
Estimate

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

16%18%+2.9
Not leaving someone mute in a language.
Estimate

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

14%14%+2
Total100%23%

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

Skills and activities

  • teach class
  • mark students
  • lesson plans
  • teach
  • Class, conversation and group dynamics
  • Assess speaking, writing and levels
  • Platform, homework and follow-up
  • Families, schools and official exams
  • Not leaving someone mute in a language
  • profesor de idiomas

Sources for this job· O*NET 25-3011.00· ESCO/ISCO 2353

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
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

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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