Rising publication pressure and the routine use of generative AI tools are reshaping how software engineering research is produced, assessed, and taught. While these developments promise efficiency, they also raise concerns about skill degradation, responsibility, and trust in scholarly outputs. This vision paper employs Design Fiction as a methodological lens to examine how such concerns might materialise if current practices persist. Drawing on themes reported in a recent community survey, we construct a speculative artifact situated in a near future research setting. The fiction is used as an analytical device rather than a forecast, enabling reflection on how automated assistance might impede domain knowledge competence, verification, and mentoring practices. By presenting an intentionally unsettling scenario, the paper invites discussion on how the software engineering research community in the future will define proficiency, allocate responsibility, and support learning.

翻译：日益增长的发表压力与生成式AI工具的常规使用正在重塑软件工程研究的产出、评估与教学方式。这些发展在提升效率的同时，也引发了关于技能退化、责任归属以及学术成果可信度的担忧。本文采用"设计虚构"作为方法视角，审视若当前实践持续发展，此类担忧可能如何显现。基于近期一项社区调查所报告的主题，我们构建了一个置于近未来研究情境中的思辨性人造物。该虚构作品被用作分析工具而非预测手段，旨在促使我们反思自动化辅助如何可能削弱领域知识能力、验证实践与指导机制。通过呈现一个刻意令人不安的场景，本文旨在引发关于未来软件工程研究界应如何定义专业能力、分配责任以及支持学习的讨论。