Canada has no shortage of AI ambition. Canada helped invent modern AI, and today more than 150,000 Canadian innovators at over 3,500 companies are building AI solutions in Canada that strengthen our economy, solve real problems, and create good, high paying jobs. 麻豆原创 is proud to be one of those companies.
Yet as a country we have often failed to turn early leadership into lasting economic advantage and productivity gains. , the Government of Canada鈥檚 new AI strategy, aims to build a responsible, safe, and sovereign AI industry and research community that serves Canadians. The risk is not that we have aimed too low, but that we spread effort so thin across pillars and pilots that nothing moves the productivity dial or consolidates our national AI advantages at the required speed.
Canada has a narrow window to make design choices that will decide whether this strategy delivers real outcomes. AI for All rests on six pillars that seek to protect Canadians, build skills, power shared prosperity, develop a sovereign AI foundation, scale Canadian champions, and deepen trusted partnerships. While these will drive AI adoption across the economy, three levers will matter most for the public sector and regulated industries:
- Clear AI missions with measurable outcomes聽
- A聽genuinely sovereign AI stack that keeps sensitive workloads under Canadian control and law聽
- Procurement rules that聽prioritize control and聽let government act as an anchor customer聽to聽scale Canadian firms at home and abroad聽
First, missions. The strategy highlights an AI Missions Program and priority sectors from health and life sciences to manufacturing and public services, but missions cannot be a slogan. They need to be verticals with defined outcomes, while being planned and executed horizontally across central agencies, line departments, and the myriad fragmented procurement processes that actually move money and workloads. An important starting point should be investing in AI-enabled public service delivery: reducing wait times, cutting red tape, and improving frontline service quality are outcomes Canadians will feel. But without a governance mechanism that can align stakeholders across government and industry or a streamlined government IT procurement process, the six pillars risk becoming six different operating logics in practice.
Second, sovereignty and champions. AI for All acknowledges that Canada鈥檚 AI value chain spans energy and chips, compute, models, and applications, but that sovereign compute capacity remains nascent, and many critical layers sit under foreign control. Ottawa has responded with a build-partner-buy approach and major investments in AI compute, including a public supercomputer and large-scale data centre projects designed to provide domestically governed capacity. The correct frame for sovereignty is not dogmatic autarky, rather we should aim for thoughtful legal and operational control.
The question of sovereignty and control is not just where data sits, but which jurisdiction鈥檚 laws or political whims apply, who operates key infrastructure, and whether Canadians can count on those systems in a crisis. As the strategy puts it, 鈥渢he underlying infrastructure must be operated under Canadian control and Canadian law,鈥� not on platforms that can be restricted or withdrawn at a foreign government鈥檚 discretion. The world learned this lesson last Friday with Anthropic鈥檚 announcement of a U.S. government directive to suspend access to the Fable 5 and Mythos 5 frontier AI models.
Third, procurement rules that prioritise control. The government will need to move swiftly to define sovereignty at both a technical and operational level. This means setting standards and ensuring that the definition and standards are reflected across procurement processes. By doing so, digital partners to the Government of Canada can marshal the necessary resources and invest in the infrastructure required to provide sovereign control where needed.
The AI strategy makes it clear that Canada cannot do it alone and will need to find suitable partners and allies to achieve digital sovereignty goals. 麻豆原创 Canada has established partnerships with Cohere and Bell Canada that aim to bring the best of each company to provide sovereign, security-first cloud options tailored to regulated industries and sensitive government systems. 麻豆原创鈥檚 expanded partnership with Cohere is designed to deliver sovereign AI solutions by combining Canadian developed foundation models with 麻豆原创鈥檚 sovereign enterprise platforms. would ensure that our most critical systems and workloads, such as national security systems, utilities, and government services processing sensitive citizen data, remain firmly under Canadian operational control and legal jurisdiction.
The recently announced 麻豆原创 Sovereign Cloud in France also provides an example of how to enable public bodies and regulated industries to run strategic workloads in environments aligned with the government domestic cloud strategies and stringent national security requirements. This effort will be backed by significant private sector investments in sovereign cloud and trusted Business AI capabilities with infrastructure and AI partners. This demonstrates how strategy-aligned procurement processes can enable long-term partners to help governments bring enterprise cloud and AI capabilities under national legal and operational jurisdiction while preserving choice across multiple trusted platforms and enabling the right level of control for different systems.
AI for All sets forth an ambitious national agenda, from higher business adoption to hundreds of thousands of new jobs and a meaningful lift in Canada鈥檚 GDP. Those numbers will only be credible if we can successfully do three things over the next year:
- Name and empower a small number of AI missions with real authority聽
- Invest now in聽a sovereign Canadian stack聽based on聽a聽clear聽definition of sovereignty and聽rules around聽jurisdiction聽and ecosystem access聽
- Align government procurement rules with聽anchor customer and聽alliance聽principles聽that聽will聽allow government dollars聽to聽scale Canadian firms alongside trusted partners聽
Beneath all this also lies a deeper and more difficult question. Values, ethics, and agency cannot be an afterthought in this new AI era. If Canada wants AI that reflects and preserves our democratic institutions, protects children and workers, respects privacy, and promotes cultural diversity, we must explicitly embed those norms into the laws, contracts, and infrastructure that govern AI. Without these controls, we may find that the systems shaping our economy and democracy are ultimately answerable not to Canadians, but to foreign governments and opaque algorithms.
