IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2507.20410.html
   My bibliography  Save this paper

Beyond pay: AI skills reward more job benefits

Author

Listed:
  • Fabian Stephany
  • Alejandra Mira
  • Matthew Bone

Abstract

This study investigates the non-monetary rewards associated with artificial intelligence (AI) skills in the U.S. labour market. Using a dataset of approximately ten million online job vacancies from 2018 to 2024, we identify AI roles-positions requiring at least one AI-related skill-and examine the extent to which these roles offer non-monetary benefits such as tuition assistance, paid leave, health and well-being perks, parental leave, workplace culture enhancements, and remote work options. While previous research has documented substantial wage premiums for AI-related roles due to growing demand and limited talent supply, our study asks whether this demand also translates into enhanced non-monetary compensation. We find that AI roles are significantly more likely to offer such perks, even after controlling for education requirements, industry, and occupation type. It is twice as likely for an AI role to offer parental leave and almost three times more likely to provide remote working options. Moreover, the highest-paying AI roles tend to bundle these benefits, suggesting a compound premium where salary increases coincide with expanded non-monetary rewards. AI roles offering parental leave or health benefits show salaries that are, on average, 12% to 20% higher than AI roles without this benefit. This pattern is particularly pronounced in years and occupations experiencing the highest AI-related demand, pointing to a demand-driven dynamic. Our findings underscore the strong pull of AI talent in the labor market and challenge narratives of technological displacement, highlighting instead how employers compete for scarce talent through both financial and non-financial incentives.

Suggested Citation

  • Fabian Stephany & Alejandra Mira & Matthew Bone, 2025. "Beyond pay: AI skills reward more job benefits," Papers 2507.20410, arXiv.org.
  • Handle: RePEc:arx:papers:2507.20410
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2507.20410
    File Function: Latest version
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2507.20410. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.