Are Canadian accountants using AI? The numbers, and the gap

In 2023, 5% of the organizations where Canadian CPAs work used AI. In 2026 it is 43%. That is the headline of a new CPA Canada study of 5,000 of its members, published on October 7. The less comfortable number sits further down: only 45% of those organizations have an official AI policy.

If you run a small accounting or bookkeeping practice, those two figures describe your year. Your peers are using AI. Many of them have not written down the rules.

Adoption moved faster than most of us expected

CPA Canada's release says organizational AI use is about eight times higher than three years ago. Among respondents, 74% use AI at least once a week at work.

Two limits matter here. The respondents are CPAs, who work in firms, but also in corporations and the public sector, so this is not a count of small practices. And "organization uses AI" is a low bar: one person with a chatbot subscription counts.

Other surveys tell a similar story with different definitions. A Caseware and IDC study, published in April, asked over 1,000 audit and accounting decision-makers in six countries. In Canada, 64% said AI is in their firm strategy, widely used in some functions, or being piloted. Another 68% of Canadian respondents planned to adopt AI technologies within two years. Caseware sells accounting software, and the survey does not give a Canada-only sample size, so read it as a direction, not a headcount.

The reported gains are real, but self-reported

Among frequent AI users in the CPA Canada study, 90% reported higher productivity, 86% better analysis and problem-solving, and 79% more time for high-value work. Those are people describing their own experience. Nobody timed anything.

It is still worth noting what people say they get back: time. The same release says organizations are more likely to invest in training or reskilling staff (64%) than to cut headcount (22%). For a firm with three employees and a busy March, that points to the realistic payoff: the same people, with fewer hours lost to summarizing, drafting and first-pass checking.

Caseware's report lists data analysis, workflow automation and insight generation as where firms are expanding AI. Data analysis and interpretation was also the skill 35% of Canadian respondents called most critical, ahead of AI literacy at 27%. In other words, the firms surveyed still want the judgment to sit with a person.

Governance is the gap

This is the finding to act on.

Read the chart from the top down. Three in four respondents use AI every week. Two in three say their organization has approved tools. Fewer than half have an official policy, and only about one in three has either staff training or an AI strategy.

Most of the risk is not in the tool. It is in using it with no rule about what goes in.

For an accountant, "what goes in" is the whole question. Client income, SIN numbers, bank statements and payroll are exactly the personal information that Canada's privacy rules protect. The federal and provincial privacy regulators published joint principles for generative AI, which is software that writes text or answers questions on request. They ask organizations to use anonymized or de-identified information in prompts where possible, and say prompts should not be retained, used for secondary purposes or disclosed. They also say accountability for decisions rests with the organization.

That last line is the one to remember. If an AI-drafted note misstates a client's deduction, the tool is not the one answering to the client.

There is a practical side too. Generative AI is fluent, and fluency is not accuracy. It can state a wrong threshold or an outdated rule in the same calm tone as a right one. Anything that reaches a client, or is filed with the CRA, should be checked against the primary source by a person who knows the file.

Training is the cheapest fix and the one least often done. The same study found only 34% of organizations have either staff training or an official AI strategy. A 30-minute session where everyone tries the approved tool on dummy data, and sees it get something wrong, teaches more than a memo.

Small businesses are still the cautious ones

Statistics Canada's second-quarter 2026 survey puts the overall rate at 19.2% of businesses. Professional, scientific and technical services, the sector that includes accounting, sat at 32.4%, and finance and insurance at 40.4%. StatCan does not break out accounting alone.

The same release shows who holds back. Cybersecurity or privacy concerns were the top barrier across businesses, at 13.4%, ahead of cost at 10.6%. Among the smallest businesses, those with one to four employees, 19.9% used AI. 41.4% of those said AI was not relevant to their business, and 11.6% cited cybersecurity or privacy concerns.

That is a fair position for a solo bookkeeper to hold. If most of your work is a few dozen small clients and you know each file, you may get little from AI today. The sensible reading of the numbers is not "everyone is doing it, so must you". It is "decide on purpose, and write down why".

Where to start

If you handle other people's financial records, three steps cost almost nothing:

1. Write a one-page rule. List what may never go into a public AI tool (names with account numbers, SINs, full statements), which tools are approved, and who checks the output. Date it and share it with anyone who touches client files.
2. Pick one low-risk task and test it for a month. Drafting client reminder emails or summarizing a long CRA letter, with identifying details removed, is a reasonable first trial. Compare the time against doing it by hand.
3. Check the settings before the first prompt. Find out whether the tool keeps your inputs or trains on them, and turn that off if you can.

If you would like a second opinion on which tasks in your practice are worth automating, you can book a call with Trimotech.