IDEAS home Printed from https://ideas.repec.org/h/eme/rleczz/s0147-912120230000050007.html
   My bibliography  Save this book chapter

Productivity and Wages: What Was the Productivity–Wage Link in the Digital Revolution of the Past, and What Might Occur in the AI Revolution of the Future?

In: 50th Celebratory Volume

Author

Listed:
  • Edward P. Lazear
  • Kathryn Shaw
  • Grant Hayes
  • James Jedras

Abstract

Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.

Suggested Citation

  • Edward P. Lazear & Kathryn Shaw & Grant Hayes & James Jedras, 2023. "Productivity and Wages: What Was the Productivity–Wage Link in the Digital Revolution of the Past, and What Might Occur in the AI Revolution of the Future?," Research in Labor Economics, in: 50th Celebratory Volume, volume 50, pages 191-253, Emerald Group Publishing Limited.
  • Handle: RePEc:eme:rleczz:s0147-912120230000050007
    DOI: 10.1108/S0147-912120230000050007
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0147-912120230000050007/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0147-912120230000050007/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/S0147-912120230000050007/full/epub?utm_source=repec&utm_medium=feed&utm_campaign=repec&title=10.1108/S0147-912120230000050007
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/S0147-912120230000050007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Productivity; wages; skill differential; skill-biased technical change; education; trade; J00; M50; J30;
    All these keywords.

    JEL classification:

    • J00 - Labor and Demographic Economics - - General - - - General
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    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:eme:rleczz:s0147-912120230000050007. 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: Emerald Support (email available below). General contact details of provider: .

    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.