IS WORK OVER?

Automation index

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

Today an AI can already prep materials, sort notes, and write a first summary. The class, the source, and the patient still need someone in the room.

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

Task comparison

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
Establish and enforce rules for behavior and procedures for maintaining order among students.
Estimate

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

8%28%+2.2
Instruct through lectures, discussions, and demonstrations in one or more subjects, such as English, mathematics, or social studies.
Estimate

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

8%28%+2.2
Prepare students for later grades by encouraging them to explore learning opportunities and to persevere with challenging tasks.
Estimate

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

7%28%+2
Prepare materials and classrooms for class activities.
Estimate

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

7%28%+2
Use computers, audio-visual aids, and other equipment and materials to supplement presentations.
Estimate

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

6%22%+1.3
Enforce all administration policies and rules governing students.
Estimate

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

5%28%+1.4
Establish clear objectives for all lessons, units, and projects, and communicate those objectives to students.
Estimate

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

5%28%+1.4
Adapt teaching methods and instructional materials to meet students' varying needs and interests.
Estimate

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

5%22%+1.1
Other less frequent tasks (weight estimated from frequency).
Estimate

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

49%28%+13.7
Total100%27%

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

Skills and activities

  • teach class
  • mark students
  • lesson plans
  • teach
  • ICT hardware specifications
  • e-learning
  • learning difficulties
  • computer science
  • post-secondary school procedures
  • ICT software specifications

Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330

Grill cook

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
Cut, ageing and the requested doneness.
Estimate

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

16%32%+5.1
Grill, mark and the fire that dies.
Estimate

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

22%8%+1.8
Rest, plate and the one that goes cold.
Estimate

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

16%22%+3.5
List, shrink and the expensive cut.
Estimate

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

16%28%+4.5
The full room and not working too far ahead.
Estimate

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

16%18%+2.9
At the point, and not drying the cut.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • mark on the grill
  • doneness
  • ageing
  • rest
  • plate
  • cuts
  • grill shrink
  • the fire

Sources for this job· O*NET 35-2014.00· ESCO/ISCO 5120

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