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Comparison · dataset August 2026

Childcare Worker vs Elementary School Teacher: which is more exposed to AI?

Elementary School Teacher carries 12 points more AI exposure than Childcare Worker.

Elementary School Teacher sits at 26% time-weighted AI exposure against 14% for Childcare Worker, a 12-point gap driven by the 18% of elementary school teacher work time that current models can already substitute outright. Childcare Worker holds a larger human-critical core — 71% of the role's time sits in work like "comfort and emotionally support kids" that models score poorly on. The two sit in different families — Personal Care & Service and Education — so any move between them is a career change, not a lateral step.

12PP GAP

Seven dimensions, side by side.

METRICCHILDCARE WORKERELEMENTARY SCHOOL TEACHERDELTA
AI exposure14%26%12pp gap
Resilience score86/10080/1006pt gap
Substitutable work time11%18%Fully automatable today
Human-critical work time71%64%Models score poorly here
Median salary$30k$63k$33k apart
10-year growth-2%1%Elementary School Teacher
US workforce900k1.4MBLS OEWS
Task level

What actually creates the gap.

Elementary School Teachers spend 18% of their time-weighted week on tasks a current model can produce end-to-end, against 11% for Childcare Workers. The single largest contributor is "draft lesson plans", graded at 80% and worth 6% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

Childcare Worker
MOST EXPOSED TASKS
  • Write daily parent updates76% · 4% time
  • Track attendance and records72% · 3% time
  • Plan activities and curricula68% · 4% time
HUMAN-CRITICAL CORE
  • Comfort and emotionally support kids3% · 16% time
  • Supervise children's safety4% · 26% time
  • Manage behavior with patience5% · 10% time
Elementary School Teacher
MOST EXPOSED TASKS
  • Draft lesson plans80% · 6% time
  • Prepare worksheets and materials78% · 4% time
  • Write parent communications76% · 3% time
  • Grade routine assignments74% · 5% time
HUMAN-CRITICAL CORE
  • Build relationships with students5% · 12% time
  • Handle behavior and emotions6% · 10% time
  • Teach and manage the classroom8% · 34% time
What transfers

Both roles lean on social, judgement — that is the part of your experience that travels intact. The real divide is manual: Childcare Workers score 68 there against 34 for Elementary School Teachers, a 34-point spread. That is the gap you would actually have to close.

DIMENSIONCHILDCARE WORKERELEMENTARY SCHOOL TEACHER
Manual6834
Cognitive3056
Switching between them
ModerateDIFFICULTY

Elementary School Teacher appears in our dataset as a mapped adjacent career for Childcare Workers: the move raises exposure by 12 points, landing at 26%. Switch difficulty reads moderate — capability profiles are 19 points apart on average.

Score your own exposure in 8 questions →

Common questions.

Is Childcare Worker or Elementary School Teacher more at risk from AI?

Elementary School Teacher. It scores 26% time-weighted AI exposure against 14% for Childcare Worker — a 12-point gap. 18% of elementary school teacher work time is already fully substitutable by current models, versus 11% for Childcare Workers.

Which pays more, Childcare Worker or Elementary School Teacher?

Elementary School Teacher, by roughly $33k at the median ($63k versus $30k). Note that the higher-paying role here is also the more AI-exposed one, which matters if you are weighing pay against durability.

Can a childcare worker switch to being a elementary school teacher?

Elementary School Teacher appears in our dataset as a mapped adjacent career for Childcare Workers: the move raises exposure by 12 points, landing at 26%. Switch difficulty reads moderate — capability profiles are 19 points apart on average.

Which role is growing faster, Childcare Worker or Elementary School Teacher?

Elementary School Teacher, at 1% projected ten-year growth versus -2% — a 3-point difference. Growth and AI exposure are separate signals: a role can grow in headcount while the content of the work is substantially rewritten.

Methodology
Scores are time-weighted across each role's canonical O*NET tasks, graded against current frontier-model capability. How we score.