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Unified Press Network > Blog > Technology > The US says it supports Canada’s sovereign AI goals and wants more partnership
Technology

The US says it supports Canada’s sovereign AI goals and wants more partnership

By Unified Press Network Last updated: July 26, 2026 4 Min Read
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The US says it supports Canada’s sovereign AI goals and wants more partnership

U.S. Backs Canada’s AI Sovereignty While Emphasizing Global Technology Leadership

Support for Canadian AI Companies

An American official speaking on background at a briefing with reporters from the U.S. Embassy in Ottawa said the United States backs Canada’s pursuit of its own artificial‑intelligence strategy, provided it does not come at the expense of “the best technology.” The official noted that this stance mirrors the principle in the U.S. AI export plan, which encourages domestic firms to grow while still competing on a global stage.

Contents
U.S. Backs Canada’s AI Sovereignty While Emphasizing Global Technology LeadershipSupport for Canadian AI CompaniesCooperation on Export Controls and Countering Chinese InfluenceDifferences in Trust and Security ApproachesInnovation‑Friendly, Risk‑Based RegulationCommunity Engagement in Data‑Center ProjectsU.S. AI Strategy and Canada’s Role in the AI StackBalancing Sovereignty with Partnership

Cooperation on Export Controls and Countering Chinese Influence

The same official highlighted existing collaboration on export controls designed to protect intellectual property and prevent technology theft. He also pointed to growing joint efforts to limit Chinese influence in international governing bodies, aiming to stop Beijing from dictating how sovereign nations use AI.

Differences in Trust and Security Approaches

While acknowledging shared goals, the official underscored key differences between the two countries, especially regarding trust and security. Canada is advancing new privacy and online‑harm legislation that could impose large fines on AI firms, including U.S. companies that currently dominate the sector. In contrast, the United States prefers that individual companies address these concerns rather than relying on government regulation.

Innovation‑Friendly, Risk‑Based Regulation

“Innovation‑friendly regulation does not mean there is no regulation,” the official said. He described a flexible, risk‑based approach that can keep pace with the rapid evolution of AI. Companies are seen as best placed to identify real consumer needs and adapt their products accordingly, making innovation the foundation of policy.

Community Engagement in Data‑Center Projects

The briefing also covered how AI firms should work closely with local communities when siting large data‑center projects. Listening to concerns about water usage, electricity costs, noise pollution and other local impacts is essential, the official added, to ensure that projects meet community expectations.

U.S. AI Strategy and Canada’s Role in the AI Stack

Referencing the Trump administration’s AI Action Plan, the official reiterated that the United States aims to accelerate data‑center approvals and promote widespread AI adoption while maintaining American leadership in the technology. The plan calls for exporting AI tools to allies, and Canadian companies have already joined U.S.-led consortia to export components.

Canada’s own “AI for All” strategy, released in June, does not list the United States as a partner in its global‑alliance pillar, focusing instead on agreements with the European Union, the Middle East and the Indo‑Pacific. Nonetheless, AI Minister Evan Solomon acknowledged that, as Canada builds sovereign capabilities, it will continue to rely on existing U.S. technology while preserving data‑security partnerships.

Balancing Sovereignty with Partnership

Solomon emphasized that “sovereignty is not loneliness,” noting that no nation can isolate itself in technology or trade. He called the United States “our best and greatest partner,” a relationship that will remain critical as Canada expands its AI infrastructure.

The U.S. official concluded that it would be impractical for Canada to construct every component of the AI stack—hardware, models, software and more—on its own. Doing so would be costly, slow, and could leave the Canadian AI economy behind. Instead, he suggested that Canadian firms leverage their strengths in certain areas while collaborating with U.S. and other partners to build a trustworthy, globally competitive AI ecosystem.

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