IS WORK OVER?

Automation index

How much of a Early childhood educator’s job can AI already do?

An activity sheet writes itself. Holding twenty three-year-olds, a nappy, and a parent does not.

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

Task comparison

Early childhood educator

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 activities, reports and rubrics.
Estimate

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

16%32%+5.1
Write to families.
Estimate

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

14%22%+3.1
Care, play and hold the room.
Estimate

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

24%6%+1.4
Hygiene, meals and naps.
Estimate

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

16%10%+1.6
Watch development and talk to the family.
Estimate

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

16%12%+1.9
Coordinate staff and safeguarding.
Estimate

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

14%14%+2
Total100%15%

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

Skills and activities

  • Plan activities, reports and rubrics
  • Write to families
  • Care, play and hold the room
  • Hygiene, meals and naps
  • Watch development and talk to the family
  • Coordinate staff and safeguarding
  • educador infantil
  • maestro de infantil
  • preschool
  • jardin de infancia

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

Salesforce administrator

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
Objects, flows and permissions.
Estimate

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

18%52%+9.4
Reports, dashboards and data clean-up.
Estimate

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

16%40%+6.4
The rep who will not log in and the real process.
Estimate

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

16%22%+3.5
Releases, sandboxes and not breaking production.
Estimate

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

16%28%+4.5
IT, legal and the field you cannot have.
Estimate

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

18%14%+2.5
That they use it, and not inflating licences.
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

  • Salesforce flows
  • permissions
  • CRM reports
  • data clean-up
  • sandboxes
  • custom objects
  • dashboards
  • sales adoption

Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2522

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