IS WORK OVER?

Automation index

How much of a Early-years teacher’s job can AI already do?

A corners plan comes earlier. The three-year-old coming in without crying, and learning, do not.

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

Task comparison

Early-years 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
Plan, corners and the kit.
Estimate

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

16%40%+6.4
Classroom, drop-off and the one who will not stay.
Estimate

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

18%14%+2.5
Yard, the clash and the one who bites.
Estimate

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

16%28%+4.5
Family, the meeting and not blaming.
Estimate

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

16%22%+3.5
The dining hall, the choke and staying on it.
Estimate

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

18%18%+3.2
That they come in without crying, and learn.
Estimate

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

16%12%+1.9
Total100%22%

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

Skills and activities

  • corners
  • early-years planning
  • classroom drop-off
  • three-year-old yard
  • family meetings
  • school dining hall
  • biting
  • classroom habit

Sources for this job· O*NET 25-2011.00· ESCO/ISCO 2342

Traffic 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
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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