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Substitute Teacher

Based on 10 assessments

15% Low risk

Average realistic automation risk across all Substitute Teacher profiles in the dataset.

Raw potential
30%
Realistic risk
15%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context.

Distribution across 10 profiles. Middle half of Substitute Teachers score between 13% and 16%.

0% 50% 100%
p10 · 10%
22% · p90
On-screen work 5%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 24%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 29%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 42%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Substitute Teacher, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Deliver lessons from prepared lesson plans (lecture, guided practice, explanations)
deep expertise
38% DA 0%
Monitor student behavior, enforce classroom rules, redirect off-task students
deep expertise
25% AA 1%
Answer student questions about content and clarify misunderstandings one-on-one
deep expertise
23% AA 3%
Assign and collect work (worksheets, readings, problem sets); track completion
8% AD 41%
Communicate with permanent teacher via notes/email; relay important updates to students
1% DD 88%
Grade or check student work (tests, quizzes, assignments) and record scores
1% AD 30%
Prepare materials, set up classroom (handouts, tech, seating), clean up at end of day
1% AA 16%

Work as a Substitute Teacher? Map your specific role.

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