Weak Bundle, Strong Bundle: How AI Redraws Job Boundaries

2026

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This paper introduces a novel framework for understanding how AI impacts job boundaries by analyzing the cost of unbundling tasks within occupations, offering crucial insights into future labor market dynamics.

* Explores the concept of "weak" vs. "strong" bundles in occupations and how AI's ability to perform specific tasks affects job structures.
* Develops a two-task model to demonstrate how AI can either assist within a bundled job or automate tasks, leading to job boundary changes.
* Analyzes the implications of bundling strength on worker revenue shares, job protection, and the overall labor share in the face of AI advancements.

AI, Job Boundaries, Automation, Labor Markets, Task Bundling

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