Endogenous Task Bundling, Skills and Automation
Joshua S. Gans · NBER Working Papers · May 2026
Where this sits in the debate
- Will AI destroy more jobs than it creates?
- Will AI widen inequality? · its finding: it depends (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Key takeaway AI-written
Gans (NBER) argues that standard estimates of AI's wage effects err by holding workers' task bundles fixed at their pre-AI shape: when automation breaks a job apart, firms endogenously choose how to rebundle the surviving tasks, and that rebundling margin drives much of the wage outcome. This theoretical point cuts at the foundation of the widely used exposure-index literature, suggesting measured wage effects conflate automation with firms' organizational responses and that job redesign, not task displacement alone, determines who gains or loses from AI.
The paper in three steps AI-written
Written by an AI agent from the paper's abstract, which is the primary source and is quoted below.
How to read it: theory. A theoretical model — its value is the mechanism it isolates; ask whether the assumptions fit the real economy.
Limitations and counterpoints AI-written
The available abstract is cut short, so the model's assumptions, results and any empirical test cannot be described here.
Abstract
Empirical measures of AI's wage effect typically hold fixed the bundle of activities a worker is paid for at its pre-AI shape. We argue that this assumption hides much of the action. When automation breaks a job apart, firms decide how to recombine the surviving activities; whether they rebundle
About this publication
Working paper. A working paper — circulated for discussion before formal peer review, the standard first outlet in economics.
- Published
- 2026
- Citations
- Not recorded for this source
Citation counts come from OpenAlex; none are recorded for this source — absence of a count is not absence of citations.
Joshua Gans signed the wemustactnow.ai letter — part of why this paper is in the collection.
Related by theme, not necessarily by method or conclusion.
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