EconPapers    
Economics at your fingertips  
 

Artificial intelligence adoption and productivity in Canadian firms

Jiang Li and Huju Liu

Economic and Social Reports from Statistics Canada, Analytical Studies and Modelling Branch

Abstract: Artificial intelligence (AI) is widely recognized as a transformative technology with the potential to reshape business operations and drive productivity growth. In Canada, AI adoption among businesses has accelerated in recent years. According to Statistics Canada (Bryan et al., 2025), 12.2% of Canadian firms used AI to produce goods or deliver services in 2025—doubling the share from the previous year—and an additional 14.5% planned to adopt AI within the next 12 months. The enthusiasm surrounding AI is not unwarranted, given its projected impact on productivity. Estimates suggest that AI could lead to a rise of 0.5% to 0.7% in total factor productivity over a decade (Acemoglu, 2024) and an increase of up to 1.5 percentage points in annual labour productivity growth over a 10-year period in the United States (Goldman Sachs, 2023). For Canada, potential gains include an increase of 0.4 to 1.1 percentage points in annual labour productivity growth over the next decade (Filippucci et al., 2025).

Keywords: artificial intelligence; adoption and productivity; firms (search for similar items in EconPapers)
JEL-codes: J23 M21 (search for similar items in EconPapers)
Date: 2026-04-22
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www150.statcan.gc.ca/n1/pub/36-28-0001/2026004/article/00002-eng.htm (text/html)
https://www150.statcan.gc.ca/n1/pub/36-28-0001/2026004/article/00002-eng.pdf (application/pdf)

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:stc:stcp8e:202600400002e

DOI: 10.25318/36280001202600400002-eng

Access Statistics for this paper

More papers in Economic and Social Reports from Statistics Canada, Analytical Studies and Modelling Branch Contact information at EDIRC.
Bibliographic data for series maintained by Mark Brown ().

 
Page updated 2026-05-22
Handle: RePEc:stc:stcp8e:202600400002e