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Professor

Based on 10 assessments · 1 from real users

18% Low risk

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

Raw potential
47%
Realistic risk
18%
Research benchmark ?
42%

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

Distribution across 10 profiles. Middle half of Professors score between 16% and 19%.

0% 50% 100%
p10 · 15%
19% · p90
On-screen work 39%

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

In-person + screen 1%

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

Computer + action 26%

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

Fully in-person 34%

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

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

Task Time Type Exposure
Conducting original research, running experiments, or creative work in their field
deep expertise
33% AA 3%
Preparing and delivering lectures/seminars to students (in-person or online)
deep expertise
21% DA 0%
Grading assignments, exams, and student work; providing written feedback
17% DD 53%
Meeting with students during office hours for mentoring, advising, and thesis supervision
deep expertise
11% AA 7%
Writing research papers, grant proposals, or academic publications
deep expertise social element
6% DD 34%
Reviewing other researchers' work as a peer reviewer for journals and conferences
deep expertise social element
5% DD 27%
Collaborating with colleagues and other researchers on joint projects
deep expertise social element
2% AA 12%
Attending and participating in department meetings, committees, and administrative duties
some context needed
1% DA 13%

Work as a Professor? Map your specific role.

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