FT：AI 生成论文泛滥学术期刊，筛选成本推高 220 亿美元出版业并购潮
AI 生成论文把出版业逼到要靠并购求生，Elsevier 审稿人扩到 190 万人，Wiley 还靠卖内容给模型训练赚了 4000 万美元。
英国《金融时报》报道，机器撰写的论文大量涌入学术期刊，筛查这些稿件的人力成本正在重塑一个 220 亿美元的出版行业。Elsevier 自 2022 年以来将审稿人队伍扩充超过三分之一，达到 190 万人。质量控制成本上升叠加聊天机器人可能稀释付费研究价值的担忧，使 Springer Nature 在 IPO 两年后仍低于 22.50 欧元的发行价。行业应对方式是并购：Wiley 以 3.37 亿英镑收购 Emerald，Informa 在 10 月宣布分拆年营收接近 10 亿美元的 Taylor & Francis。另一方面，Wiley 在 2025 年通过向模型训练方授权内容获得约 4000 万美元收入。
FT: Machine-written papers are flooding academic journals, and the cost of screening them is pushing a $22B publishing industry toward mergers.
Filtering the flood requires people. thats why Elsevier has grown its reviewer pool by more than a third since 2022 to 1.9M.
Those rising quality-control costs, plus fears that chatbots will make paid research less valuable, have kept Springer Nature below its €22.50 listing price 2 years after its IPO.
Consolidation is the industry’s answer, starting with Wiley’s £337M purchase of Emerald in June and Informa’s October decision to separate Taylor & Francis, a unit nearing $1B in annual revenue.
The same AI that floods journals also pays for them, as Wiley earned about $40M in 2025 from licensing content for model training.
