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- Articles and reports: 36-28-0001202600400002Description: 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 (2026), 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.Release date: 2026-04-22
- Articles and reports: 36-28-0001202600100001Description: Artificial intelligence (AI) and automation hold the potential to transform the nature of work, raising concerns about how different occupations may be affected. The risks associated with technological advancements are particularly relevant for the skilled trades, where work is task-intensive and specialized. This article examines potential exposure to AI- and automation-related job transformation among certified journeyperson occupations.Release date: 2026-01-28
- Articles and reports: 36-28-0001202600100003Description: Artificial intelligence (AI) holds the potential to transform the nature of work, and its ability to replace human labour remains a central concern. This study highlights recent labour market trends, distinguishing jobs potentially more exposed to and less complementary with AI from other jobs.Release date: 2026-01-28
- 4. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2025Articles and reports: 11-621-M2025011Description: This article explores how businesses plan to use AI over the next 12 months and the types of AI they intend to use when producing goods or delivering services. It also explores how businesses expect AI to affect their employment levels, what operational changes they anticipate over the next 12 months and why some are choosing not to use AI. It involves an examination of the data produced by the Canadian Survey on Business Conditions.Release date: 2025-09-11
- Articles and reports: 11-522-X202500100027Description: Several challenges encountered when constructing U.S. administrative record-based (AR-based) population estimates for 2020 are identified. They include locational accuracy, person coverage and its consistency over time, filtering out non-residents and people not alive on the reference date, uncovering missing links across person and address records, and predicting demographic characteristics. Several ways to address these issues are discussed. Regression results illustrate how the challenges and solutions affect the AR-based county population estimates.Release date: 2025-09-08
- Articles and reports: 11-621-M2025008Description: This article explores results from the Canadian Survey on Business Conditions related to the use of AI in producing goods and delivering services. Furthermore, this article explains the specific types of AI being used, such as machine learning, virtual agents and voice recognition, as well as the impact of AI adoption on tasks performed by employees and on employment levels. It further explores the importance of AI investment to business operations.Release date: 2025-06-16
- 7. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2024Articles and reports: 11-621-M2024013Description: This article explores how businesses plan to use AI over the next 12 months and the types of AI they intend to use when producing goods or delivering services. It also explores how businesses expect AI to affect their employment levels, what operational changes they anticipate over the next 12 months and why some are choosing not to use AI. It involves an examination of the data produced by the Canadian Survey on Business Conditions.Release date: 2024-09-12
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- Articles and reports: 36-28-0001202600400002Description: 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 (2026), 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.Release date: 2026-04-22
- Articles and reports: 36-28-0001202600100001Description: Artificial intelligence (AI) and automation hold the potential to transform the nature of work, raising concerns about how different occupations may be affected. The risks associated with technological advancements are particularly relevant for the skilled trades, where work is task-intensive and specialized. This article examines potential exposure to AI- and automation-related job transformation among certified journeyperson occupations.Release date: 2026-01-28
- Articles and reports: 36-28-0001202600100003Description: Artificial intelligence (AI) holds the potential to transform the nature of work, and its ability to replace human labour remains a central concern. This study highlights recent labour market trends, distinguishing jobs potentially more exposed to and less complementary with AI from other jobs.Release date: 2026-01-28
- 4. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2025Articles and reports: 11-621-M2025011Description: This article explores how businesses plan to use AI over the next 12 months and the types of AI they intend to use when producing goods or delivering services. It also explores how businesses expect AI to affect their employment levels, what operational changes they anticipate over the next 12 months and why some are choosing not to use AI. It involves an examination of the data produced by the Canadian Survey on Business Conditions.Release date: 2025-09-11
- Articles and reports: 11-522-X202500100027Description: Several challenges encountered when constructing U.S. administrative record-based (AR-based) population estimates for 2020 are identified. They include locational accuracy, person coverage and its consistency over time, filtering out non-residents and people not alive on the reference date, uncovering missing links across person and address records, and predicting demographic characteristics. Several ways to address these issues are discussed. Regression results illustrate how the challenges and solutions affect the AR-based county population estimates.Release date: 2025-09-08
- Articles and reports: 11-621-M2025008Description: This article explores results from the Canadian Survey on Business Conditions related to the use of AI in producing goods and delivering services. Furthermore, this article explains the specific types of AI being used, such as machine learning, virtual agents and voice recognition, as well as the impact of AI adoption on tasks performed by employees and on employment levels. It further explores the importance of AI investment to business operations.Release date: 2025-06-16
- 7. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2024Articles and reports: 11-621-M2024013Description: This article explores how businesses plan to use AI over the next 12 months and the types of AI they intend to use when producing goods or delivering services. It also explores how businesses expect AI to affect their employment levels, what operational changes they anticipate over the next 12 months and why some are choosing not to use AI. It involves an examination of the data produced by the Canadian Survey on Business Conditions.Release date: 2024-09-12
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