在竞争激烈的现代求职市场中，政府约聘人员 Christopher 投递了约 700 份履历却屡屡碰壁，其中 5 次更接获 IT 公司 Everforth Apex Systems 的 AI 招募专员「Riley」进行语音面试。尽管 Riley 每次都承诺合格后会有真人联系，但面试后始终毫无音讯，让陷入重复面试轮回的 Christopher 感到无比挫折。

为了反击这套无效流程，Christopher 在第五次面试时指派 ChatGPT 语音模式代为应对，让两个 AI 进行了一场长达 10 分钟、充满套话与回圈的「机器人对机器人」面试。这项实验揭示了当前招聘生态中，由一方生成敷衍资料传送给另一方系统的「垃圾飞轮」荒谬现象，也反映出求职者与招募方双向滥用 AI 的日益普遍现况。

即便随后 Christopher 打造了完美符合职缺要求的虚拟求职者「Don Dickner」，并由 ChatGPT 代替进行长达 23 分钟的高水准专业对谈，最终依旧只换来制式的官方回复且石沉大海。这项案例凸显出 AI 面试工具虽然被企业用来缓解履历过量问题，却往往沦为徒具形式且缺乏实质后续追踪的自动化黑洞。

Navigating a punishing job market, government contractor Christopher applied to roughly 700 jobs and underwent five automated voice screening calls with 'Riley,' an AI recruiter for IT firm Everforth Apex Systems. Despite repeated assurances that qualified candidates would be contacted by human staff, every single AI interview resulted in total silence without even an automated rejection notice.

Exasperated by the dead-end process, Christopher retaliated during the fifth interview by deploying ChatGPT Voice to speak on his behalf, resulting in a surreal, 10-minute bot-to-bot conversation trapped in circular corporate platitudes. This experiment highlighted what he termed a 'slop flywheel'—an increasingly common scenario where AI systems on both sides exchange synthetic data that ultimately leads nowhere.

In a final test, Christopher fabricated a flawless fictional candidate named Don Dickner and had ChatGPT conduct an impressive 23-minute interview with Riley, yet even this ideal persona received only the same canned response followed by silence. The ordeal demonstrates how AI-driven recruitment, meant to ease hiring burdens, frequently degenerates into an unmonitored procedural black hole for job seekers.