过去，AI写作在新闻生产中通常被用于主观性、逻辑性较弱的新闻体裁。然而，随着近来AI能力的提升，AI写作能否被扩展到更具主观性、创意性的新闻生产环节当中引发了讨论。财经评论兼具结构性、主观性和逻辑性，其本身也是用以探究AI写作应用边界的一类较为合适的新闻体裁。基于系统化-启发式（HSM）模型，本研究通过两组情境实验考察了AI作为评论作者对财经评论感知专业度的影响及其具体作用机制。研究一在未提示受众关注作者的情况下，探讨了受众对AI生成与人类撰写的财经评论之间感知专业度的差异。结果显示，当受众通过系统化处理路径阅读财经评论时，很难区分AI与人类记者撰写的评论在专业度上的差异。研究二采用2（实际作者：人类 vs. AI）× 3（作者署名：人类记者 VS. AI VS. 不署名）因子设计，通过在线实验探讨启发式处理路径下，受众对不同作者的财经评论的差异化感知机制。结果表明，当受众注意到评论的作者身份时，署名为AI的财经评论可以通过权威启发式（authority heuristic）和机器启发式（machine heuristic）提高内容的感知专业度，而受众对AI写作的态度能够有效增强机器启发对内容感知专业度的提升作用。但是，署名与否则会降低受众的权威启发式水平进而折损受众对于内容的专业度感知。结合两研究来看，过往专业财经媒体赖以生存的权威性、专业性在当前的AI时代也开始面临着极大挑战。因此，应对AI写作的冲击有必要充分重建财经媒体的权威性和专业性。

With recent advancements in generative AI, there is a discussion about whether AI writing can be further applied to news production that requires more opinions and creativity. Economic and financial news commentary, which is a typical genre of economic journalism characterized by standardization, subjectivity, logicality, serves as an apt news genre to explore the application boundaries of AI writing. Based on the Heuristic-Systematic Model (HSM), this study investigated the impact of AI involvement in the production of financial commentary on the perceived expertise of the content through two sets of scenario experiments (N1=110; N2=582). Study 1 examined the perceived expertise differences between AI-generated and human-written financial commentary without prompting the audience to pay attention to the author. The results indicated that when readers processed the financial commentary vias systematic approach, they found it difficult to distinguish the expertise level between content written by AI and that by human journalists. Study 2 employed a 2 (actual author: human vs. AI) × 3 (author attribution: human journalist vs. AI vs. anonymous) online experiment, to explore the mechanisms of the different perception of financial commentary written by different author under heuristic processing. The findings showed that when the audience was aware of the author's identity, financial commentary attributed to AI could enhance perceived expertise through authority heuristics and machine heuristics. Moreover, the audience’s attitude toward AI writing significantly strengthened the effect of machine heuristics on perceived content expertise. Considering the research conclusions, the authority and expertise that professional financial media have relied on to survive are also facing great challenges in the current AI era. Therefore, it is necessary to fully rebuild the authority and expertise of financial media to cope with the impact of AI writing.