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Comparison · dataset August 2026

Elementary School Teacher vs Software Engineer: which is more exposed to AI?

41 points apart. These are not comparable risk profiles.

Software Engineer sits at 67% time-weighted AI exposure against 26% for Elementary School Teacher, a 41-point gap driven by the 32% of software engineer work time that current models can already substitute outright. Elementary School Teacher holds a larger human-critical core — 64% of the role's time sits in work like "build relationships with students" that models score poorly on. The two sit in different families — Education and Computer & Math — so any move between them is a career change, not a lateral step.

41PP GAP

Seven dimensions, side by side.

METRICELEMENTARY SCHOOL TEACHERSOFTWARE ENGINEERDELTA
AI exposure26%67%41pp gap
Resilience score80/10069/10011pt gap
Substitutable work time18%32%Fully automatable today
Human-critical work time64%20%Models score poorly here
Median salary$63k$132k$69k apart
10-year growth1%17%Software Engineer
US workforce1.4M1.8MBLS OEWS
Task level

What actually creates the gap.

Software Engineers spend 32% of their time-weighted week on tasks a current model can produce end-to-end, against 18% for Elementary School Teachers. The single largest contributor is "write boilerplate & crud code", graded at 92% and worth 14% of the role's time. That one task accounts for more of the gap than any difference in seniority, tooling, or industry.

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
Software Engineer
MOST EXPOSED TASKS
  • Write boilerplate & CRUD code92% · 14% time
  • Generate unit tests from specs88% · 8% time
  • Author documentation85% · 6% time
  • Translate code between languages81% · 4% time
HUMAN-CRITICAL CORE
  • Mentor junior engineers11% · 3% time
  • Negotiate scope with stakeholders14% · 5% time
  • Triage production incidents22% · 4% time
What transfers

Both roles lean on cognitive — that is the part of your experience that travels intact. The real divide is social: Elementary School Teachers score 94 there against 32 for Software Engineers, a 62-point spread. That is the gap you would actually have to close.

DIMENSIONELEMENTARY SCHOOL TEACHERSOFTWARE ENGINEER
Social9432
Procedural4684
Judgement7441
Switching between them
HighDIFFICULTY

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 36 points apart on average. Treat a move between them as a genuine career change with a retraining cost, not as a hedge against AI exposure.

Score your own exposure in 8 questions →

Common questions.

Is Elementary School Teacher or Software Engineer more at risk from AI?

Software Engineer. It scores 67% time-weighted AI exposure against 26% for Elementary School Teacher — a 41-point gap. 32% of software engineer work time is already fully substitutable by current models, versus 18% for Elementary School Teachers.

Which pays more, Elementary School Teacher or Software Engineer?

Software Engineer, by roughly $69k at the median ($132k versus $63k). 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 elementary school teacher switch to being a software engineer?

Neither role lists the other as a mapped adjacent career, and the capability profiles sit 36 points apart on average. Treat a move between them as a genuine career change with a retraining cost, not as a hedge against AI exposure.

Which role is growing faster, Elementary School Teacher or Software Engineer?

Software Engineer, at 17% projected ten-year growth versus 1% — a 16-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.