Canada's AI strategy (2026): AI for All, adoption data and what it takes to put AI into production

Canada's national AI strategy, AI for All, was launched by Prime Minister Mark Carney on June 4, 2026. Its headline goal for the economy is to raise AI adoption by businesses from just over 12% to 60% by 2034. Statistics Canada's most recent figure is 19.2%, for the second quarter of 2026. Canada has no AI law in force for private businesses, so privacy, employment and sector rules apply to AI as they do to any other system. Figures and statuses below are as of October 22, 2026.

What AI for All includes

The Prime Minister's announcement anchors the strategy in three guiding principles and lists the priorities under each:

• Building trust: modernizing legislative frameworks for the digital age, AI transparency, stronger protection of personal information and an expanded Canadian AI Safety Institute that evaluates AI models.
• Creating opportunities: a National AI Literacy Initiative, AI jobs and work placements for young Canadians, help for small and medium-sized businesses to adopt AI, an AI Missions Program that starts with health, and worker training.
• Reinforcing Canadian sovereignty: sovereign AI foundations, a public AI supercomputer, support for Canadian AI companies and more AI talent.

Innovation, Science and Economic Development Canada organizes the same work under six pillars:

1. Protecting Canadians and democracy, including modernized privacy and online safety laws.
2. Empowering Canadians through AI education and training.
3. Wider AI adoption for shared prosperity, including by smaller businesses.
4. Sovereign AI foundations: compute infrastructure and research.
5. Scaling Canadian AI champions.
6. Trusted partnerships and global alliances.

The announcement sets these targets:

• AI adoption by businesses from just over 12% to 60% by 2034.
• 250,000 new AI-related jobs over five years.
• Up to 90,000 AI-related jobs and work placements for young Canadians.
• AI literacy for 1 million entry-level post-secondary students, and training for more than 3,000 educators.

The announcement does not list funding amounts for these programs. Check each program's own page before you plan around a specific fund.

Who leads AI policy in Canada

Evan Solomon is the federal Minister of Artificial Intelligence and Digital Innovation. His department, Innovation, Science and Economic Development Canada, publishes the strategy, and he sponsors Bill C-36, the federal privacy bill introduced on June 15, 2026.

How many Canadian businesses use AI

Statistics Canada's Canadian Survey on Business Conditions asks about AI use in the second quarter of each year and about planned use in the third quarter. Its second-quarter 2026 analysis reports:

• 19.2% of businesses used AI to produce goods or deliver services in the previous 12 months, up from 12.2% in 2025 and 6.1% in 2024.
• Use was highest in information and cultural industries (42.3%), finance and insurance (40.4%) and professional, scientific and technical services (32.4%), and lowest in agriculture, forestry, fishing and hunting (4.5%).
• 27.8% of businesses with 100 or more employees used AI, compared with 19.9% of businesses with 1 to 4 employees.
• 40.0% of businesses said AI is not relevant to them: 41.4% of businesses with 1 to 4 employees, but only 21.3% of those with 100 or more.
• 13.4% of businesses named cybersecurity or privacy concerns as a barrier that limits their use of AI, and 10.6% named cost. These were the two most common barriers.

Plans are rising faster than use. In the third quarter of 2026, 25.2% of businesses planned to use AI in the next 12 months, up from 14.5% a year earlier. Data analytics (41.7%), large language models (39.3%) and virtual agents or chatbots (31.8%) were the most common planned uses. Among businesses with 20 to 99 employees, planned use more than doubled, from 15.0% to 32.8%. Later surveys will show how many of those plans become systems in use.

Canada's AI ecosystem

Canada launched the Pan-Canadian Artificial Intelligence Strategy in 2017, which CIFAR describes as the first national AI strategy in the world. Three national AI institutes anchor the research base: Amii in Edmonton, Mila in Montreal and the Vector Institute in Toronto. The Canadian AI Safety Institute's research program is led by Innovation, Science and Economic Development Canada and administered by CIFAR. Scale AI, Canada's AI cluster, funds industry-led projects that put AI to work in businesses, along with training and support for startups and smaller firms.

The rules that apply

The strategy commits to modernize privacy and online safety laws, but it does not create binding rules. The proposed Artificial Intelligence and Data Act ended in January 2025, and Bill C-36 has had first reading only. Privacy law already applies to personal information in AI tools, and Quebec and Ontario have rules on automated decisions and AI in job postings. The article on AI laws and regulation in Canada covers each rule and its status, and the article on AI acceptable use policies turns them into staff rules.

From experiment to production

Statistics Canada counts AI only when a business uses it to produce goods or deliver services. Getting a use case to that point usually takes the same steps:

• Pick one workflow with a result you can measure, and a person who answers for the system after launch.
• Decide which information the system may use, and check privacy duties before real records go in. In Quebec, that includes a privacy impact assessment for a new system that handles personal information.
• Agree on expected results and test the system against them before staff or clients depend on it. The article on testing an AI assistant covers how.
• Run it in the organization's own accounts, with access controls, logging, cost limits and a deployment process, so the team can maintain and change it.
• Tell staff what the system may be used for and what they must check.

The two most common barriers in the Statistics Canada data, privacy and cost, depend largely on design choices: which data the system can reach, where it runs and how its usage is limited. ai.lua.haus builds these systems inside the client's environment, from a proof of concept for one use case to a production application handed over to the client's team.

Frequently asked questions

What is Canada's AI strategy?

AI for All, launched on June 4, 2026. It rests on three guiding principles (trust, opportunity and sovereignty), is organized under six pillars and aims to raise business AI adoption to 60% by 2034.

Does Canada have an AI law?

Not for private businesses, as of October 22, 2026. The Artificial Intelligence and Data Act ended in January 2025. Privacy, employment, human rights and sector rules still apply to AI use.

How many Canadian businesses use AI?

19.2% in the second quarter of 2026, according to Statistics Canada, and 25.2% planned to use AI in the following 12 months.

Who is Canada's AI minister?

Evan Solomon, Minister of Artificial Intelligence and Digital Innovation.

This is general information, not legal or investment advice. Check the linked sources for current figures and program details.