A queueing model of AI task processing identifies a 'variance wedge' where mean task speed falls but system delay rises due to rework and reduced oversight under congestion.
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A game-theoretic model shows that individually rational adoption of generative AI causes model collapse that reduces collective social welfare for important tasks, with habit formation creating spillovers from low-stakes to high-value domains.
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Queue & AI: When Faster Tasks Slow Down the Workflow
A queueing model of AI task processing identifies a 'variance wedge' where mean task speed falls but system delay rises due to rework and reduced oversight under congestion.
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Generative artificial intelligence reduces social welfare through model collapse
A game-theoretic model shows that individually rational adoption of generative AI causes model collapse that reduces collective social welfare for important tasks, with habit formation creating spillovers from low-stakes to high-value domains.