EconPapers    
Economics at your fingertips  
 

On the Verge of a White-Collar Productivity Revolution

Claus Sneppen
Additional contact information
Claus Sneppen: Associated Partner and Futurist, Copenhagen Institute for Futures Studies

Chapter 9 in The Future (R)Evolution of the Office Workspace, 2025, pp 149-156 from Springer

Abstract: Abstract The rapid adoption of generative AI tools is raising new questions about their impact on work, including whether they might lead to a significant productivity revolution. While the long-term effects are still uncertain, early studies suggest these technologies are already affecting many job tasks. For instance, GPT language models could impact up to 80% of the US workforce, with some workers seeing half of their tasks transformed. The potential for AI to reshape work extends beyond productivity gains, prompting comparisons to past transformative technologies like the printing press and steam engine. However, the speed and ease of AI integration, as well as its reliance on natural language, make it distinct from earlier innovations. This shift could lead to unintended consequences, such as increased administrative burdens, and may redefine work itself, requiring new skills and potentially altering traditional job roles.

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-85229-9_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031852299

DOI: 10.1007/978-3-031-85229-9_9

Access Statistics for this chapter

More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-08-10
Handle: RePEc:spr:fuobcp:978-3-031-85229-9_9