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Teacher

Based on 11 assessments · 2 from real users

19% Low risk

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

Raw potential
42%
Realistic risk
19%
Research benchmark ?
31%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 11 profiles. Middle half of Teachers score between 15% and 22%.

0% 50% 100%
p10 · 14%
25% · p90
On-screen work 20%

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

In-person + screen 21%

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

Computer + action 34%

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

Fully in-person 24%

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

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

Task Time Type Exposure
Planning lessons, creating instructional materials, and designing curriculum
deep expertise
38% AD 17%
Managing classroom behavior, discipline, and student engagement
deep expertise
28% AA 4%
Delivering live lessons and instruction to students in classroom or virtual setting
deep expertise
14% DA 4%
Grading assignments, tests, and papers; providing written feedback
9% DD 51%
Communicating with parents/guardians via email, calls, or conferences about student progress
some context needed
6% DA 5%
One-on-one interactions with students: answering questions, clarifying concepts, providing encouragement
deep expertise
1% AA 0%
Administrative tasks: attendance tracking, grade entry, report writing, compliance documentation
0% DD 87%

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