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This presentation explores algorithmic regulation in job platforms, focusing on applicant adaptation under AI-based rankings and congestion challenges. It examines paradoxes such as market thickness and uniformity, highlighting effects like recruiter overload and homogenized profiles. Case studies, like Amazon's AI issues, illustrate strategic shifts in applicant behavior. The theories delve into platforms as regulators, emphasizing the role of algorithmic access for optimization and...