According to the Canadian Centre for Policy Alternatives (CCPA), Canada is the only G7 country without a binding federal regulatory framework specific to AI. It is in this vacuum that Mark Carney launched, on June 4, 2026, at Toronto General Hospital, the national strategy “AI for Everyone,” structured around six pillars and backed by more than CAD 2.3 billion. Since the parliamentary prorogation of January 5, 2025, AIDA - the Artificial Intelligence and Data Act introduced under Bill C-27 - is dead, and no binding federal AI law has replaced it. The CCPA and The Walrus describe the framework as largely voluntary, for lack of binding obligations.
The only G7 country without a binding federal framework
According to the Canadian Centre for Policy Alternatives, Canada is the only G7 country without a binding federal regulatory framework specific to AI. That assessment deserves nuance: Ottawa and the provinces already operate through partial levers - the Treasury Board Directive on Automated Decision-Making (2019), PIPEDA, Quebec’s Law 25, and guidance from the Office of the Superintendent of Financial Institutions (OSFI) for the financial sector. These instruments cover specific segments (the federal administration, privacy, finance) without forming a unified AI framework, and the CCPA argues that they are not enough to govern high-risk systems deployed in the private sector. The most immediate constraint for a Canadian actor exposed to the European market comes from elsewhere: the AI Act applies to providers and deployers whose AI systems are placed on the market or used in the European Union, regardless of where they are established. A Canadian company deploying a high-risk system on the European market therefore falls under the regulation, whatever the status of federal law in Ottawa.
Voluntary does not mean ineffective - but it still needs a legal anchor
The difference with the European experience does not lie in the nature of the instrument: the Code of Practice for General-Purpose AI Models published by the European Commission is also a voluntary instrument. Its normative effect comes from its linkage with the AI Act, whose dedicated provision states that signatories of the GPAI Code benefit from an enforceable presumption of compliance for the obligations applicable to providers of general-purpose models. Signing produces a tangible legal benefit; not signing means having to demonstrate compliance through other, more burdensome channels. Without an equivalent binding federal framework on the Canadian side, the “AI for Everyone” strategy places normative pressure on reputation and market effects - a mechanism that can generate alignment in concentrated and exposed sectors, as illustrated by the British voluntary codes before the Online Safety Act, but that does not create the same enforceability. The Walrus reports that a survey cited in its analysis places the share of Canadians willing to trust AI at 34%, compared with 75% who expect state regulation: the reputational pressure Ottawa is banking on is emerging in an environment where the demand for a legal framework is explicit.
An ecosystem supported by three institutes, with infrastructure described as “embryonic”
The government identifies more than 3,500 Canadian companies developing AI solutions, which have collectively raised more than CAD 37 billion in venture capital. The macroeconomic impact projections advanced by Ottawa belong to a different register: Ottawa says it aims to create 250,000 jobs and increase GDP by 3% - figures presented as government objectives, not as forecasts audited by an independent third party. The official document also explicitly acknowledges that Canada’s sovereign computing capacity “remains embryonic, particularly in cloud computing, and will require significant investment to reduce dependence on foreign providers” - an admission that, in the text itself, limits the scope of the sovereignty pillar.