EconPapers    
Economics at your fingertips  
 

AI and Task Efficiency

Boyan Jovanovic and Peter Rousseau

No 34295, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: We model several ways in which AI may improve decisions, raise the productivity of firms, and raise human capital growth. Each focuses on activities that involve problem solving, with solutions being guided by signals. If AI raises the accuracy of the signals, humans will then make better decisions — individually and in groups.

JEL-codes: O32 O33 (search for similar items in EconPapers)
Date: 2025-09
Note: PR
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.nber.org/papers/w34295.pdf (application/pdf)
Access to the full text is generally limited to series subscribers, however if the top level domain of the client browser is in a developing country or transition economy free access is provided. More information about subscriptions and free access is available at http://www.nber.org/wwphelp.html. Free access is also available to older working papers.

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:nbr:nberwo:34295

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w34295
The price is Paper copy available by mail.

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().

 
Page updated 2025-10-03
Handle: RePEc:nbr:nberwo:34295