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College Professor

Based on 10 assessments

12% Low risk

Average realistic automation risk across all College Professor profiles in the dataset.

Raw potential
41%
Realistic risk
12%

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

Distribution across 10 profiles. Middle half of College Professors score between 10% and 13%.

0% 50% 100%
p10 · 10%
15% · p90
On-screen work 32%

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

In-person + screen 0%

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

Computer + action 22%

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

Fully in-person 46%

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

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

Task Time Type Exposure
Preparing and delivering lectures to students in classroom or online settings
deep expertise
22% DA 6%
Conducting original research, literature review, experimentation, or creative work in their discipline
deep expertise social element
18% AA 0%
Meeting with students during office hours to discuss coursework, research, or academic/career guidance
17% AA 0%
Grading assignments, exams, papers, and providing written feedback to students
some context needed
17% DD 28%
Participating in department committees, faculty meetings, and curriculum planning
some context needed
14% AA 0%
Mentoring graduate students or research assistants on projects and professional development
deep expertise
8% AA 5%
Writing grant proposals, journal articles, conference papers, or other scholarly publications
deep expertise
1% DD 17%

Work as a College Professor? Map your specific role.

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