When workers lose jobs to AI-driven restructuring, two very different conversations happen on X (formerly Twitter) at the same time. Tech executives and AI researchers talk about productivity, transformation, and opportunity. Laid-off workers and labour critics talk about job loss, uncertainty, and fear. This paper asks a simple question: which conversation gets more reach? We report three studies using two collection methods and 763 tweets from 20 named public accounts. Study 1 used keyword-based collection (n=392) and found no significant difference between corpora (p=0.891), revealing that keyword search is too noisy for this task. Study 2 used account-based collection (n=96) and found a 3.12x mean amplification advantage for capital discourse over labour discourse (p=0.000003, Cohen's d=0.555). Study 3 combined both methods (n=763) and confirmed the finding at 4.18x mean and 10.77x median amplification ratio (p<0.000001). Critically, after normalising for follower count, the asymmetry persists at 2.69x (p=0.000009, Cohen's d=0.491), demonstrating that the effect is not simply a consequence of capital accounts having larger audiences. The finding is robust across all tested amplification metric weightings. We introduce the Amplification Ratio and Amplification Normalisation Index as simple metrics for measuring platform-level discourse inequality. A cross-platform replication on Reddit (n=647 posts) did not replicate the finding, suggesting the asymmetry may be specific to X's account-based amplification architecture. We discuss the methodological implications for cross-platform discourse analysis.

翻译：当工人因AI驱动的重组失业时，X平台（原Twitter）上同时出现两种截然不同的对话。科技高管与AI研究者谈论生产力、转型与机遇，而被裁工人与劳工批评者则讨论失业、不确定性与恐惧。本研究提出一个简单问题：何种对话能获得更大传播覆盖面？我们通过两种采集方法，对20个实名公开账户的763条推文开展三项研究。研究1采用关键词采集（n=392），发现语料间无显著差异（p=0.891），表明关键词搜索在此任务中噪声过大。研究2采用账户定向采集（n=96），发现资本话语的传播放大效应均值达劳工话语的3.12倍（p=0.000003，Cohen's d=0.555）。研究3结合两种方法（n=763），证实资本话语传播放大效应均值比为4.18倍、中位数比达10.77倍（p<0.000001）。关键的是，在按粉丝数量进行归一化处理后，该不对称性仍以2.69倍（p=0.000009，Cohen's d=0.491）持续存在，证明该效应并非单纯源于资本账户拥有更大受众规模。该发现在所有测试的放大指标权重设定下均保持稳健。我们提出"放大比"与"放大归一化指数"作为衡量平台级话语不平等的简易指标。在Reddit平台进行的跨平台复现分析（n=647条帖子）未复现该发现，提示该不对称性可能专属于X平台基于账户的放大架构。我们讨论了跨平台话语分析的方法论启示。