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Science

Academic Author

Based on 20 assessments

29% Moderate risk

Average realistic automation risk across all Academic Author profiles in the dataset.

Raw potential
71%
Realistic risk
29%
Research benchmark ?
74%

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

Distribution across 20 profiles. Middle half of Academic Authors score between 28% and 31%.

0% 50% 100%
p10 · 26%
34% · p90
On-screen work 65%

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

In-person + screen 18%

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

Computer + action 7%

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

Fully in-person 10%

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

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

Task Time Type Exposure
Writing and drafting research papers, articles, and book chapters
deep expertise
32% DD 19%
Designing and executing original research (experiments, surveys, analyses, fieldwork)
deep expertise
25% AD 4%
Collaborating with co-authors via email, video calls, and document sharing
deep expertise
18% AA 0%
Revising manuscripts based on peer review feedback and editor comments
9% DD 48%
Conducting literature reviews, reading scholarly sources, and synthesizing existing research
7% DD 43%
Presenting findings at conferences, seminars, and departmental talks
deep expertise
4% DA 9%
Submitting work to journals/publishers, managing publication logistics and correspondence
1% DD 73%
Reviewing manuscripts for journals and conferences as a peer reviewer
deep expertise
0% DD 16%

Work as a Academic Author? Map your specific role.

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