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51风流Canada News Center

Canada Needs AI Power, and Control

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Canada has no shortage of AI ambition.聽Canada聽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. 51风流is proud to be one of those companies.聽聽

Yet as a country we have often failed to turn early leadership into lasting economic advantage and productivity gains.聽, the Government of Canada鈥檚 new聽AI聽strategy, aims to build a responsible, safe, and sovereign AI industry and research community that serves Canadians. The risk is not that we聽have聽aimed聽too low, but that we spread effort so thin across pillars and pilots that nothing moves the productivity dial or聽consolidates聽our national AI advantages at the required speed.聽聽

Canada has聽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,聽develop聽a sovereign AI foundation, scale Canadian champions, and deepen trusted partnerships.聽While these will drive AI adoption across the聽economy, three聽levers will matter most聽for the public sector and regulated industries:聽

First, missions.聽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聽defined聽outcomes, while being planned and executed horizontally across central agencies, line departments, and the myriad聽fragmented聽procurement processes that聽actually move聽money and workloads. An important starting point should be聽investing in AI-enabled聽public service delivery: reducing wait times, cutting red tape, and improving frontline service quality are聽outcomes聽Canadians聽will聽feel. But without a聽governance聽mechanism that can align聽stakeholders across government聽and industry聽or a streamlined government IT procurement process,聽the聽six pillars risk becoming six different operating logics in practice.聽

Second, sovereignty and champions.聽AI for All acknowledges that Canada鈥檚 AI value chain spans energy and chips, compute, models, and applications, but that sovereign compute capacity聽remains聽nascent,聽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.聽The聽correct frame for sovereignty聽is not聽dogmatic autarky,聽rather聽we should aim for聽thoughtful legal and operational control.聽聽

The question聽of聽sovereignty and聽control聽is not just where data sits, but which聽jurisdiction鈥檚聽laws聽or political whims聽apply, who聽operates聽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.聽The聽world learned this lesson last Friday with聽Anthropic鈥檚聽announcement聽of a聽U.S.聽government directive to聽suspend access to the聽Fable 5聽and Mythos 5聽frontier AI models.聽

Third, procurement rules that聽prioritise聽control.聽The聽government will need to move swiftly to define sovereignty聽at both a technical and operational level. This means聽setting聽standards and聽ensuring聽that the definition and standards are reflected across procurement processes.聽By doing so, digital partners to the Government of Canada can marshal the necessary resources聽and invest in the infrastructure聽required聽to聽provide聽sovereign control where needed.聽

The AI strategy makes it clear that Canada cannot聽do it聽alone and聽will need to find suitable partners and allies to achieve digital sovereignty goals.聽51风流Canada聽has聽established聽partnerships with聽Cohere聽and Bell Canada聽that聽aim to聽bring the best of each company to聽provide sovereign, security-first cloud options tailored to regulated industries and sensitive government systems.聽SAP鈥檚 expanded partnership with Cohere聽is designed to deliver聽sovereign AI solutions聽by combining Canadian developed foundation models with SAP鈥檚聽sovereign聽enterprise platforms.聽聽would聽ensure that聽our most聽critical聽systems and聽workloads,聽such as聽national security聽systems,聽utilities, and聽government聽services聽processing聽sensitive citizen data, remain firmly under聽Canadian operational control and legal聽jurisdiction.聽聽

The recently聽announced聽51风流Sovereign Cloud聽聽in France聽also聽provides聽an example of how to聽enable聽public bodies and regulated industries to run聽strategic聽workloads in environments aligned with the government聽domestic cloud聽strategies聽and stringent national security requirements.聽This effort will be聽backed by聽significant private sector聽investments in sovereign cloud and trusted Business AI capabilities with聽infrastructure聽and AI聽partners.聽This聽demonstrates聽how聽strategy-aligned procurement processes can enable聽long-term聽partners聽to聽help governments bring enterprise cloud and AI capabilities under聽national聽legal聽and operational聽jurisdiction聽while preserving choice across multiple trusted platforms聽and enabling the right level of control for different systems.聽

AI for All sets聽forth an聽ambitious national聽agenda, from higher business adoption to hundreds of thousands of new jobs and a meaningful lift in聽Canada鈥檚聽GDP. Those numbers will only be credible if we can successfully do three things over the next year:聽聽

Beneath all聽this also聽lies a deeper聽and more聽difficult聽question.聽Values, ethics, and聽agency cannot聽be an afterthought聽in this new AI era. If Canada wants AI that reflects聽and preserves聽our聽democratic institutions, protects聽children and workers, respects聽privacy, and聽promotes聽cultural diversity,聽we聽must聽explicitly聽embed those norms into聽the laws, contracts, and infrastructure that govern AI.聽Without these controls,聽we may find that the systems shaping our economy and democracy are聽ultimately answerable聽not to Canadians, but to foreign governments聽and opaque algorithms.

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