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      Artificial intelligence is increasingly becoming a core component of how finance organizations operate, make decisions, and create value. But as adoption accelerates, many organizations are discovering that implementation alone does not guarantee results. KPMG's AI in Finance 2026 report explores how finance leaders can bridge the gap between AI investment and measurable business outcomes, while building the trust, governance, and capabilities needed to scale confidently.

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      Key insights from the survey

      • AI adoption is already mainstream

        83% of Canadian respondents have moved beyond planning for broad AI use in finance, versus 92% globally.

      • Adoption has not translated into equal value

        Only 36% of Canadian respondents report improved forecast accuracy, versus 64% globally; decision-making speed is 45% versus 71%.

      • ROI is positive but not exceptional

        57% of Canadian respondents say AI in Finance ROI is at least meeting expectations, with 19% saying it is exceeding expectations.

      • Agentic AI is advancing quickly

        77% have moved beyond planning for agentic AI. Leaders see greater responsiveness (41%) and competitive advantage (37%) as bigger opportunities than lower costs (27%).

      • Trust and measurement remain scaling constraints

        66% can efficiently produce AI-related audit evidence, versus 82% globally, while 64% track and act on meaningful AI KPIs, versus 85% globally.


      Download the full 2026 AI in Finance report to explore the survey findings, emerging trends, and practical actions finance leaders can take to accelerate AI adoption, strengthen trust, and unlock measurable value.


      AI in finance 2026

      AI in finance 2026

      Closing the value gap.



      How KPMG can help

      Finance is where AI ambition becomes operational reality: the function is close to the data, accountable for performance and deeply connected to risk, controls and decision-making. 

      KPMG Canada can help finance leaders identify where AI can improve decision-critical work, assess data and process readiness, define accountable operating models, establish autonomy and judgment boundaries, and build governance, controls and evidence into AI-enabled workflows.

      Canadian finance leaders have moved beyond asking whether AI belongs in finance. The next opportunity is to combine AI capability with human judgment and organizational trust – turning insight into accountable decisions and measurable value at scale.


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      About the KPMG AI in Finance survey

      KPMG International’s Global AI in Finance is an annual study capturing the perspectives from 1013 C-suite and senior leaders working in organizations with annual revenues of at least US$250 million (US$500 million in the United States). Participants completed the survey online in March 2026 across 20 countries, territories and jurisdictions in the Americas, EMEA and Asia-Pacific. Of the 53 Canadian respondents, 43% of respondents were from companies that fell in the $1bn to $5bn revenue band and an employee count between 1000 and 5000 employees.


      About the KPMG AI Pulse survey

      KPMG International’s Global AI Pulse is a quarterly global study capturing the perspectives from 2,110 C-suite and business leaders representing organizations in 20 countries, territories and jurisdictions. The research was conducted between February 19 and March 27, 2026. Of the 306 Canadian respondents, 28 per cent reported annual revenues of $50 million to $99 million; 28 per cent reported revenues of $100 million to $499 million; 20 per cent reported revenues of $500 million to $999 million; 12 per cent reported revenues of $1 billion to $4.9 billion; eight per cent reported revenues of $5 billion to $19.9 billion and five per cent reported revenues of $20 billion or more.