Canada’s National Artificial Intelligence Strategy: AI for All
An ISOC LIVE Summary
Canada released a sweeping national artificial intelligence strategy titled “AI for All,” positioning AI as a foundational technology for economic growth, sovereignty, productivity, and democratic resilience. The strategy emphasizes that trust, opportunity, and sovereignty are the three pillars necessary for broad AI adoption and argues that Canada must move urgently to strengthen domestic AI capacity while protecting citizens from harms associated with emerging technologies.
Vision and Strategic Framing
The strategy presents AI as a transformative force already affecting daily life, public services, education, and economic competitiveness. The government argues that Canadians will only embrace AI if they trust that it is safe, beneficial, and aligned with Canadian values. Trust is therefore described as the “north star” of the strategy.
The document repeatedly stresses that prosperity and sovereignty in the AI era will belong to nations able to build, govern, and deploy AI systems on their own terms. The strategy is organized around six pillars:
Protecting Canadians and safeguarding democracy
Empowering Canadians
Powering shared prosperity
Building the Canadian sovereign AI foundation
Building and scaling Canadian AI champions
Building trusted partnerships and global alliances
The strategy also emphasizes that implementation must remain adaptive as technological, geopolitical, and social conditions evolve rapidly.
Canada’s Current AI Position
The report describes Canada as both a global AI pioneer and a country facing serious adoption and sovereignty gaps. It highlights Canada’s historic leadership through researchers Geoffrey Hinton, Yoshua Bengio, and Richard Sutton, while noting that Canada continues to host globally respected AI institutes and frontier AI companies.
Economically, Canada’s digital sector employs roughly 800,000 workers and contributes more than CAD$140 billion to GDP, with approximately 150,000 jobs directly tied to AI. More than 3,500 Canadian firms are developing AI models, tools, and applications, collectively raising over CAD$37 billion in venture funding.
However, adoption remains weak. Only 12 percent of Canadian businesses reported using AI between mid-2024 and mid-2025, while SME adoption remains approximately 8 percent, well behind leading international peers. The strategy identifies low trust and low literacy as the primary barriers to deeper AI integration.
Citing the KPMG–University of Melbourne global trust study, the report notes that Canada ranked 44th of 47 countries on AI training and literacy and 42nd of 47 on trust in AI systems. Fewer than a quarter of Canadians reported receiving any AI training, and fewer than half felt confident using AI tools effectively.
The strategy also identifies vulnerabilities in sovereign compute capacity, dependence on foreign cloud providers, offshore GPU fabrication, and insufficient commercialization pathways for Canadian innovation. At the same time, it argues Canada possesses major advantages, including abundant clean electricity, a highly educated workforce, strong democratic institutions, significant AI talent concentration, and rich data resources in sectors such as healthcare, agriculture, transportation, energy, and manufacturing.
Targets and National Outcomes
The strategy sets major national targets for the coming decade, including:
Increasing Canadian business AI adoption from 12 percent today to 60 percent by 2034
Creating up to 250,000 new jobs through AI adoption by 2031
Supporting up to 90,000 AI-related jobs and work placements for young Canadians
Unlocking a projected 3 percent increase in GDP, representing nearly CAD$200 billion in gains tied to labour productivity
Building a world-leading sovereign supercomputer by 2031
Expanding public compute access for SMEs
Providing nationwide AI literacy access
Ensuring all post-secondary students have access to trusted AI agents
The government also announces a new AI Missions Program beginning with CAD$200 million directed toward improving healthcare outcomes through public-interest AI initiatives.
Priority Economic Sectors
The strategy identifies five priority sectors where Canada believes it can achieve both economic gains and sovereign resilience:
Health and life sciences
Energy and natural resources
Transportation
Agriculture
Manufacturing and robotics
These sectors are described as areas where Canada already possesses scientific, industrial, and geographic strengths that can be amplified through AI deployment.
Pillar 1: Protecting Canadians and Safeguarding Democracy
The first pillar focuses on safety, privacy, online harms, and democratic resilience. The report warns that AI systems are increasingly influencing consequential decisions in hiring, healthcare, lending, and public services, while deepfakes and synthetic media threaten democratic integrity and public trust.
Key commitments include:
Modernizing consumer privacy legislation
Introducing online safety laws
Protecting elections from AI-enabled misinformation and foreign interference
Expanding the Canadian AI Safety Institute with a CAD$50 million investment
Developing watermarking and transparency mechanisms for AI-generated content
Creating a Canada Trusted AI Certification program
Strengthening AI standards and cybersecurity coordination
The document frames trust not as a constraint on innovation, but as the foundation necessary for mass AI adoption.
Pillar 2: Empowering Canadians
The second pillar centers on AI literacy, workforce transition, and public participation. The strategy argues that AI benefits will only materialize if citizens understand how AI works, how to use it safely, and how to participate in shaping its deployment.
The government proposes a National AI Literacy Initiative offering entry-level AI training accessible to all Canadians. Plans include:
Reaching 1 million entry-level post-secondary students
Training more than 3,000 educators
Expanding AI learning through libraries and community organizations
Providing trusted AI agents to all post-secondary students
Funding AI and coding education for K-12 learners through a CAD$30 million CanCode initiative
Modernizing Canada’s Job Bank with AI-powered job matching tools
The report also emphasizes workforce transition and pro-worker AI adoption. It projects more than 250,000 new AI-relevant jobs by 2031 and calls for collaboration among employers, unions, colleges, universities, Indigenous organizations, and training providers to support reskilling and applied workforce learning.
Examples highlighted include the Alberta Machine Intelligence Institute (Amii), which already trains approximately 125,000 students annually in AI-related skills and supports K-12 teacher development and industrial workforce programs.
The strategy also emphasizes inclusion, Indigenous leadership, accessibility, and cultural sovereignty. Commitments include support for Indigenous-led AI initiatives, protection and promotion of French-language AI systems, and a CAD$50 million Creative Technology Program supporting Canadian creators using AI tools.
Pillar 3: Powering Shared Prosperity
The third pillar focuses on translating AI experimentation into broad economic deployment, especially among small and medium-sized enterprises. The report notes that SMEs represent 99 percent of Canadian businesses and employ 14.3 million workers, yet adoption remains limited.
The strategy argues that many firms do not yet understand how AI applies to their operational challenges. It therefore proposes practical adoption support, financing, sector-specific expertise, and government-backed missions to stimulate deployment.
Examples highlighted include:
Croptimistic’s AI-powered precision agriculture systems
Vivid Machines’ orchard forecasting technologies
EarthDaily’s satellite-based invasive species monitoring platform
Maya HTT’s industrial AI deployments improving manufacturing throughput while supporting workers
The Business Development Bank of Canada’s LIFT program is identified as a key mechanism, with CAD$500 million dedicated to helping SMEs finance AI adoption.
The strategy frames AI adoption as a productivity and competitiveness issue, but also as a shared prosperity challenge where gains should benefit workers, regions, and communities broadly rather than concentrating only among large firms.
Pillar 4: Building the Canadian Sovereign AI Foundation
The fourth pillar focuses on sovereign compute, infrastructure, talent, and research capacity. The strategy argues that Canada cannot remain dependent on foreign cloud and compute providers if AI becomes foundational to economic resilience and national sovereignty.
The government proposes building sovereign AI infrastructure under Canadian governance, including domestic compute capacity, data infrastructure, energy systems, and research ecosystems capable of supporting Canadian institutions and businesses at scale.
Central goals include:
Building a world-leading Canadian supercomputer by 2031
Expanding public compute access for SMEs and researchers
Supporting sovereign data-centre capacity
Strengthening AI research institutions and talent pipelines
Linking AI infrastructure development with Canada’s electricity strategy
The report repeatedly frames compute infrastructure as a strategic national capability comparable to other forms of critical infrastructure.
Pillar 5: Building and Scaling Canadian AI Champions
The fifth pillar addresses Canada’s long-standing commercialization challenge, where domestic innovation is often scaled abroad rather than within Canada.
The strategy argues that Canadian AI firms require stronger access to growth capital, procurement opportunities, domestic markets, and international scaling pathways in order to become globally competitive companies rather than acquisition targets.
Key themes include:
Expanding access to late-stage growth capital
Leveraging sovereign wealth and public investment funds
Using government procurement as anchor demand for Canadian AI firms
Supporting commercialization and scale-up pathways
Helping Canadian firms compete internationally
The government positions Canadian AI firms as strategic assets tied directly to national prosperity and sovereignty.
Pillar 6: Building Trusted Partnerships and Global Alliances
The final pillar focuses on alliances with democratic partners and shaping global AI governance frameworks.
The strategy argues that Canada’s comparative advantages include democratic stability, rules-based cooperation, and international trust. It highlights that Canada signed 20 new economic and defence partnerships in the previous year, with 11 explicitly involving AI cooperation.
The pillar emphasizes:
AI safety collaboration with trusted partners
Standards coordination and interoperability
Joint infrastructure and innovation initiatives
Supply-chain resilience
International market access for Canadian firms
Democratic governance approaches to AI
Canada frames itself as helping shape an international AI ecosystem grounded in democratic values, transparency, and mutual cooperation rather than authoritarian control or purely commercial dominance.
Overall Assessment
“AI for All” presents AI not merely as a technology strategy, but as a broad national economic, industrial, workforce, and sovereignty agenda. The document combines industrial policy, workforce development, safety regulation, infrastructure investment, democratic safeguards, commercialization policy, and international coordination into a single framework aimed at positioning Canada as both an AI innovator and a trusted democratic AI power.
The strategy repeatedly returns to the idea that successful AI adoption depends on public trust, widespread literacy, sovereign infrastructure, inclusive economic participation, and strong democratic institutions. It positions AI as a defining strategic technology whose benefits will depend not only on innovation itself, but on who controls it, who benefits from it, and whether citizens trust the systems shaping their lives.
COMMENTARY
The Walrus: “Experts Hate It” — eight-expert symposium faulting the strategy’s voluntary regulation and adoption-first framing
Global News: 5 things missing — flags absent timelines for promised privacy and online-harms legislation
Canadian Press: Quick Quotes — roundup of business, labour, and political reaction to the launch
CBC News: draft strategy — pre-launch reporting that the plan is short on specifics for protecting Canadians
IAPP analysis — privacy-profession summary of the adoption targets and governance gaps
Cynthia Khoo, The Citizen Lab — technology and human-rights lawyer who notes the strategy never uses the term “human rights”
KPMG–University of Melbourne trust study — finds Canada near the bottom of peers on AI trust and literacy
Ipsos AI Monitor 2026 — poll showing most Canadians feel nervous rather than excited about AI
RESOURCES
AI for All (full strategy) — the complete strategy document from ISED
AI for All (overview) — plain-language summary of the six pillars and targets
PMO launch release — official announcement linking the strategy to the Protecting Victims Act
Cohere — Toronto enterprise foundation-model firm cited as a Canadian frontier champion
LawZero — Montréal nonprofit by Yoshua Bengio building safe-by-design AI
Mila — Quebec AI Institute, one of Canada’s three national AI institutes
Amii — Alberta Machine Intelligence Institute, cited for AI literacy and workforce training
Vector Institute — Toronto national AI institute cited for applied health research
CIFAR Pan-Canadian AI Strategy — administers the Canada CIFAR AI Chairs program
Croptimistic (SWAT MAPS) — Saskatchewan precision-agriculture firm featured as an adoption case study