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  • 1. Artificial intelligence adoption and productivity in Canadian firms
    Articles and reports: 36-28-0001202600400002
    Description: 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
  • 2. Potential occupational exposure to artificial intelligence across selected cultural industries in Canada
    Articles and reports: 36-28-0001202600300003
    Description: A central concern surrounding recent advances in generative artificial intelligence (AI) technologies is their potential to replace human labour, especially in the domain of content creation, such as the production of music, videos, images and text in the cultural industries. However, there is a lack of information regarding how AI may impact workers in these industries. This article attempts to fill this information gap by examining potential occupational exposure to and complementarity with AI in selected cultural industries in Canada.
    Release date: 2026-03-25
  • 3. Potential occupational exposure to artificial intelligence and automation among certified journeypersons in Canada
    Articles and reports: 36-28-0001202600100001
    Description: 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
  • 4. Canadian employment trends in the era of generative artificial intelligence: Early evidence
    Articles and reports: 36-28-0001202600100003
    Description: 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
  • 5. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2025
    Articles and reports: 11-621-M2025011
    Description: 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
  • 6. On the Interplay of Legal Requirements, Quality Aspects and Ethical Risks when using Machine Learning in German Official Statistics Archived
    Articles and reports: 11-522-X202500100014
    Description: Artificial intelligence (AI) with its subfield machine learning (ML) has found its way into administration in general and also into official statistics in Germany in particular. This paper highlights the ethical issues that may arise when using AI/ML in official statistics and examines whether a separate ethical framework is needed to deal with these issues appropriately, as is proposed by institutions of other countries and intergovernmental institutions related to official statistics. The results of the study are presented to show that the implementation of the requirements of the existing and mostly non-AI/ML-specific frames of reference such as law and quality is already sufficient to adequately address the ethical issues based on risk scenarios.
    Release date: 2025-09-08
  • 7. The Future of National Statistical Organisations: The Longer-Term Role and Shape of NSOs Archived
    Articles and reports: 11-522-X202500100024
    Description: This paper explores a vision for the future of National Statistics Offices (NSOs). It analyses the history and role of NSOs before exploring current and future challenges and opportunities for NSOs, before finally outlining a future where NSOs become more agile, open, and collaborative while maintaining their high level of trust in the community, thereby allowing them to fulfil their new role as data stewards in a rapidly evolving data landscape.
    Release date: 2025-09-08
  • 8. One-Stop-Shop for Artificial Intelligence and Machine Learning for Official Statistics Archived
    Articles and reports: 11-522-X202500100027
    Description: 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
  • 9. Analysis on artificial intelligence use by businesses in Canada, second quarter of 2025
    Articles and reports: 11-621-M2025008
    Description: 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
  • 10. Online child sexual exploitation: Criminal justice outcomes of police-reported incidents in Canada, 2014 to 2021
    Articles and reports: 85-002-X202500100003
    Description: Online child sexual exploitation captures a wide range of criminal offences involving victims aged 17 years and younger, including luring, invitation to sexual touching, and non-consensual distribution of intimate images, as well as online child pornography (including child pornography generated using artificial intelligence).

    Using a data file linking police-reported data from the Uniform Crime Reporting Survey to court data from the Integrated Criminal Court Survey, this Juristat article explores how online child sexual exploitation incidents progress through the criminal justice system, from police to courts. More specifically, the article examines the criminal justice outcomes (i.e., charges laid, decisions made in relation to these charges and, where possible, sentencing outcomes) of online child sexual exploitation incidents reported by police between 2014 and 2021 that resulted in a completed court case between fiscal years 2013/2014 and 2022/2023.
    Release date: 2025-03-11
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Analysis (15)

Analysis (15) (0 to 10 of 15 results)

  • 1. Artificial intelligence adoption and productivity in Canadian firms
    Articles and reports: 36-28-0001202600400002
    Description: 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
  • 2. Potential occupational exposure to artificial intelligence across selected cultural industries in Canada
    Articles and reports: 36-28-0001202600300003
    Description: A central concern surrounding recent advances in generative artificial intelligence (AI) technologies is their potential to replace human labour, especially in the domain of content creation, such as the production of music, videos, images and text in the cultural industries. However, there is a lack of information regarding how AI may impact workers in these industries. This article attempts to fill this information gap by examining potential occupational exposure to and complementarity with AI in selected cultural industries in Canada.
    Release date: 2026-03-25
  • 3. Potential occupational exposure to artificial intelligence and automation among certified journeypersons in Canada
    Articles and reports: 36-28-0001202600100001
    Description: 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
  • 4. Canadian employment trends in the era of generative artificial intelligence: Early evidence
    Articles and reports: 36-28-0001202600100003
    Description: 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
  • 5. Analysis on expected use of artificial intelligence by businesses in Canada, third quarter of 2025
    Articles and reports: 11-621-M2025011
    Description: 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
  • 6. On the Interplay of Legal Requirements, Quality Aspects and Ethical Risks when using Machine Learning in German Official Statistics Archived
    Articles and reports: 11-522-X202500100014
    Description: Artificial intelligence (AI) with its subfield machine learning (ML) has found its way into administration in general and also into official statistics in Germany in particular. This paper highlights the ethical issues that may arise when using AI/ML in official statistics and examines whether a separate ethical framework is needed to deal with these issues appropriately, as is proposed by institutions of other countries and intergovernmental institutions related to official statistics. The results of the study are presented to show that the implementation of the requirements of the existing and mostly non-AI/ML-specific frames of reference such as law and quality is already sufficient to adequately address the ethical issues based on risk scenarios.
    Release date: 2025-09-08
  • 7. The Future of National Statistical Organisations: The Longer-Term Role and Shape of NSOs Archived
    Articles and reports: 11-522-X202500100024
    Description: This paper explores a vision for the future of National Statistics Offices (NSOs). It analyses the history and role of NSOs before exploring current and future challenges and opportunities for NSOs, before finally outlining a future where NSOs become more agile, open, and collaborative while maintaining their high level of trust in the community, thereby allowing them to fulfil their new role as data stewards in a rapidly evolving data landscape.
    Release date: 2025-09-08
  • 8. One-Stop-Shop for Artificial Intelligence and Machine Learning for Official Statistics Archived
    Articles and reports: 11-522-X202500100027
    Description: 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
  • 9. Analysis on artificial intelligence use by businesses in Canada, second quarter of 2025
    Articles and reports: 11-621-M2025008
    Description: 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
  • 10. Online child sexual exploitation: Criminal justice outcomes of police-reported incidents in Canada, 2014 to 2021
    Articles and reports: 85-002-X202500100003
    Description: Online child sexual exploitation captures a wide range of criminal offences involving victims aged 17 years and younger, including luring, invitation to sexual touching, and non-consensual distribution of intimate images, as well as online child pornography (including child pornography generated using artificial intelligence).

    Using a data file linking police-reported data from the Uniform Crime Reporting Survey to court data from the Integrated Criminal Court Survey, this Juristat article explores how online child sexual exploitation incidents progress through the criminal justice system, from police to courts. More specifically, the article examines the criminal justice outcomes (i.e., charges laid, decisions made in relation to these charges and, where possible, sentencing outcomes) of online child sexual exploitation incidents reported by police between 2014 and 2021 that resulted in a completed court case between fiscal years 2013/2014 and 2022/2023.
    Release date: 2025-03-11
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