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How the interaction of AI and algorithmic management shapes job quality outcomes
The study, titled "" challenges conventional narratives that technological exposure alone dictates workforce outcomes. The research maps how worker-led AI tool usage and employer-led algorithmic management collide to create deeply stratified workplace realities.
Ultimately, the analysis indicates that supply-side policy frameworks focusing solely on worker upskilling or expanding technology access have structural limitations. Dr Lee demonstrates that without directly regulating algorithmic monitoring and control practices, expanding AI access risks simply transitioning more workers into high-intensity, highly managed configurations rather than genuinely empowering them.