The negative association between AI-assisted writing and team age is strongest among the youngest teams¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Quantile regression shows the AI usage effect on team age is most pronounced at the 25th percentile (-2.68 PLoS; -6.99 Nature). → Haoyang Wang 2026

Evidence¶

Haoyang Wang 2026¶

Haoyang Wang, Mingze Zhang, Yi Bu, Star Xing Zhao, Meijun Liu. (2026). Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams. https://arxiv.org/abs/2605.27404 doi:10.48550/arxiv.2605.27404

q2 · i? · associational · r2

Quantile regression at the 25th, 50th, and 75th percentiles of team age on post-November-2022 publications, reported in Table S2. The article reports the strongest effect among younger teams, with a Nature 25th-percentile coefficient of -6.99, described as "AI adoption is most concentrated among already junior teams".

"In the PLoS dataset, the effect is strongest among younger teams (25th percentile: -2.68, 𝑝 < 0.01), suggesting that AI adoption is most concentrated among already junior teams."

Discussion¶

Related Claims¶

• AI-assisted teams have a higher probability of producing top-5%-FWCI publications than human-written teams — related
• AI-assisted teams comprise more junior authors and fewer senior authors — related
• Teams using AI-assisted writing are smaller-sized, with the association stronger for Nature publications — related
• Research teams using AI-assisted writing have a lower average career age than human-written teams — a broader claim this one bears on
• Most publications show very low AI usage scores, with higher mean AI usage in PLoS than Nature — related
• AI-related guilt decreases with career stage, with early-career academics reporting the highest guilt — related