But I Like Doing This! Enjoyable Tasks, Contracting, and Automation
Joshua S. Gans · NBER Working Papers · June 2026
Where this sits in the debate
Direction of the finding as read from the abstract by an AI model (AI-written).
Key takeaway AI-written
Gans builds a contracting model of "O-ring" jobs where workers intrinsically enjoy certain tasks and voluntarily contribute unpaid hours, comparing complete task-bundle pricing against paid task floors that let workers top up their own time. The framework shows how automation interacts with task enjoyment in determining which contract form minimizes the wage bill and which tasks firms should automate. It matters for the AI debate because it formalizes a neglected margin: when AI automates tasks workers actually like, firms lose a source of free effort, so the labor-market effects of automation depend on task-level preferences, not just marginal products.
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 emitted abstract is cut short, so the paper's conclusions about automation cannot be summarised from it; the work is theoretical.
Abstract
Workers sometimes enjoy productive tasks and voluntarily devote unpaid time to them. We study O-ring jobs in which firms can either price a complete task bundle or specify paid task floors while workers remain free to add time. For any allocation supported by both hourly contracts, the wage bill is
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.
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