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Artificial intelligence adoption and productivity in Canadian firms / by Jiang Li and Huju Liu.CS36-28-0001/2026-4-2E-PDF

"Artificial intelligence (AI) is widely recognized as a transformative technology with the potential to reshape business operations and drive productivity growth. … Understanding the relationship between AI adoption and business performance is critical for shaping policies that foster innovation, technology diffusion and sustainable economic growth, especially given Canada's persistent productivity challenges. … This article summarizes key findings from the study "The Role of Complementary Capabilities in AI Adoption and Productivity: Firm-Level Evidence from Canada" by Li and Liu (forthcoming), published in Canadian Public Policy. Using a novel firm-level database that links multiple waves of the Survey of Digital Technology and Internet Use (SDTIU) to administrative business microdata, the study examines factors influencing AI adoption among Canadian businesses and explores the relationship between AI adoption and firms' labour productivity"--Page 1.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.964072&sl=0

Publication information
Department/Agency
  • Statistics Canada, issuing body.
TitleArtificial intelligence adoption and productivity in Canadian firms / by Jiang Li and Huju Liu.
Series title
  • Economic and social reports, 2563-8955 ; vol. 6, no. 4, April 2026
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • Issued also in French under title: Adoption de l'intelligence artificielle et productivité dans les entreprises canadiennes.
  • "Catalogue no. 36-28-0001."
  • "Spotlight on data and research."
  • Includes bibliographical references (page 5).
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, April 22, 2026.
  • ©2026
Author / Contributor
  • Li, Jiang, author.
Description1 online resource (5 pages) : colour illustrations.
Catalogue number
  • CS36-28-0001/2026-4-2E-PDF
Departmental catalogue number36-28-0001
Subject terms
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