EconPapers    
Economics at your fingertips  
 

AI Adoption and Employment Expectations: Evidence from a Survey of Small Business Owners

Will Aarons and Asani Sarkar

No 20261008, Liberty Street Economics from Federal Reserve Bank of New York

Abstract: There is little consensus on the effect of AI adoption on employment. Economy-wide measures of pay and headcount have moved little even as AI adoption has spread rapidly, yet narrower measures document declining hiring for workers at the start of their careers or in AI-exposed occupations. In this post, we revisit this topic for U.S. small businesses. We use data from the 2025 Small Business Credit Survey (SBCS) to examine the twelve-month-forward employment and revenue expectations of AI users. We find that firms currently using AI are significantly more likely than non-users to expect increased employment and revenues over the next year, even after accounting for firm and owner characteristics and location. Revenue expectations are most optimistic for AI users that report facing operational challenges in utilizing technology.

Keywords: artificial intelligence (AI); small business; employment; revenues (search for similar items in EconPapers)
JEL-codes: D2 L2 O3 (search for similar items in EconPapers)
Date: 2026-10-08
References: Add references at CitEc
Citations:

Downloads: (external link)
https://libertystreeteconomics.newyorkfed.org/2026 ... all-business-owners/ Full text (text/html)

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:fip:fednls:103899

Ordering information: This working paper can be ordered from

DOI: 10.59576/lse.20261008

Access Statistics for this paper

More papers in Liberty Street Economics from Federal Reserve Bank of New York Contact information at EDIRC.
Bibliographic data for series maintained by Gabriella Bucciarelli ().

 
Page updated 2026-10-11
Handle: RePEc:fip:fednls:103899