📊 Full opportunity report: Why 'Not American' Doesn’t Cut It As An AI Standard on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
European reliance on ‘not American’ as an AI standard is misleading. Canada’s legal framework and data protections challenge this proxy, revealing measurement flaws. The debate impacts international AI procurement and regulation.
European authorities and industry leaders are increasingly relying on the criterion of ‘not American’ to define AI standards and procurement benchmarks. However, legal distinctions between Canada and the US, as well as jurisdictional and measurement issues, complicate this proxy. This shift influences how European markets evaluate AI providers and raises questions about the actual criteria needed for effective regulation.
The core of the debate centers on the legal difference: Canada, unlike US-incorporated companies, is not subject to the US CLOUD Act, which compels US-based providers to share data with American authorities. Canada has not signed a CLOUD Act executive agreement, and its courts have explicitly rejected the US third-party doctrine, strengthening its data protections. Canadian law, including the Supreme Court rulings in R. v. Spencer and R. v. Bykovets, emphasizes protecting data of Canadians and people in Canada, making Canadian companies less susceptible to US data requests.
Despite this, European authorities have shifted their focus from ‘incorporated in the EU’ to ‘not American,’ effectively using nationality as a proxy for measurement. This proxy is flawed because it overlooks the actual legal protections and data sovereignty measures in place, especially in countries like Canada, which have robust safeguards and no bilateral agreements with the US that would weaken these protections.
The wrong test: “not American” is not a sovereignty standard
In one press conference, European sovereignty changed definition — from “incorporated in the EU” to “not incorporated in the US” — and nobody asked whether the second is a test or merely a proxy. It’s a proxy. Proxies fail at the edges. The edges are where procurement lives.
The CLOUD Act genuinely doesn’t reach Canadian incorporation. Canada has no CLOUD Act executive agreement — negotiating since March 2022, nothing finalized. And the Supreme Court of Canada (R. v. Spencer, R. v. Bykovets) explicitly rejected the US third-party doctrine. On several dimensions Canada is more protective than the US. This is not a hit piece.
UKUSA (1946): NSA · GCHQ · CSE · ASD · GCSB. CSE’s oversight is real — ministerial authorization, an independent Intelligence Commissioner (a retired judge) who can block, NSIRA review. Now read the operative restriction:
The protection is national and territorial. Europeans are neither.
Not an accusation — architecture. It’s structurally why Safe Harbor fell: protections protect the home nationals.
Canada has adequacy since 2001/2002 (Decision 2002/2/EC). But its scope is PIPEDA-only — employee data largely excluded; Alberta/BC/Quebec regimes never got adequacy; Quebec’s was withdrawn in 2014.
It was assessed against PIPEDA’s commercial framework — not against Canada’s intelligence laws or Five Eyes participation.
That’s the same hole the CJEU punched through Safe Harbor. In fairness: the Commission did examine public-authority access and found redress “accessible to non-Canadian nationals.” That clause is the best argument Canada has — and NSIRA is largely classified. Unsettled, not resolved.
US courts have been clear for 40 years: Bank of Nova Scotia — American courts enforce subpoenas against entities subject to US jurisdiction even where compliance violates foreign law, and fine for refusal. Jurisdiction attaches to presence and activity, not the incorporation certificate. So corporate pledges to “resist” are sincere and legally insufficient. And Canadian exposure creeps through ordinary commercial expansion:
The Five Eyes question isn’t “is Canada spying for America” — that’s the tabloid version, it’s unsupported, and it’s a distraction. The real question is duller and more damaging: why is Europe using nationality as a substitute for measurement? Because a proxy is cheap and a test is expensive. “Not American” lets you approve the deal, satisfy the minister, and skip the register, the nexus, the redress. It produces a press release. It does not produce protection. Every sovereignty claim here is a jurisdictional bet — that a legal system, an alliance and a political mood hold for the life of your data. The Canadian bet is genuinely better than the American one. It’s still a bet. The only positions that don’t require one are where you hold the weights and can pull the plug. If the answer is “well, they’re not American” — you haven’t been given a standard. You’ve been given a mood.
Implications of Using ‘Not American’ as an AI Benchmark
This reliance on nationality as a proxy influences European AI procurement policies, potentially excluding capable providers based on jurisdiction rather than actual data security and legal protections. It risks oversimplifying complex legal frameworks and may lead to suboptimal choices that do not reflect true data sovereignty or security standards. Understanding these distinctions is crucial for fair and effective regulation of AI providers across borders.
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Legal and Geopolitical Foundations of Data Sovereignty
Canada’s legal architecture emphasizes protecting the data of Canadians and those in Canada, with explicit restrictions on foreign surveillance and targeted data collection. Its status under the UKUSA Agreement, as a Five Eyes partner, involves intelligence sharing, but with strict legal boundaries that exclude targeting Canadian citizens. Meanwhile, the US CLOUD Act applies only to US-incorporated entities, creating a clear legal boundary that Canada’s courts have upheld as incompatible with US surveillance laws. European standards, however, have historically focused on jurisdictional sovereignty, and recent shifts suggest a move toward measurement-based criteria, which this analysis questions.
Prior to this, frameworks like Privacy Shield and Safe Harbor failed because they did not sufficiently protect European data subjects. The European Court of Justice’s rulings emphasized the importance of redress and safeguards, which are not captured by simple jurisdictional proxies.
“Using ‘not American’ as a measurement for AI standards is a category error because it ignores the actual legal protections and sovereignty measures in place.”
— Thorsten Meyer
Canadian data sovereignty tools
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Remaining Questions About Proxy Effectiveness
It is still unclear whether European policymakers will continue to rely on jurisdictional proxies like ‘not American’ or shift toward more nuanced, measurement-based standards that consider legal protections and sovereignty more directly. The practical impact of this proxy on actual procurement decisions and legal compliance remains to be fully seen.
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Next Steps in European AI Regulatory Approach
European regulators are likely to face increasing pressure to refine their standards beyond jurisdictional proxies. Future policy developments may include more detailed assessments of legal protections, data sovereignty measures, and compliance frameworks, potentially reducing reliance on simple nationality-based proxies. Legal debates and international negotiations, especially regarding data-sharing agreements, will shape this evolution.
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Key Questions
Why is ‘not American’ considered an inadequate AI standard?
Because it oversimplifies complex legal and jurisdictional differences, ignoring data protections, sovereignty measures, and the legal frameworks that actually govern AI data handling across borders.
How does Canadian law protect data differently from US law?
Canadian law explicitly restricts targeting of Canadians’ data, with judicial rulings rejecting US-style third-party doctrines, and no bilateral agreements forcing data sharing with US authorities, unlike US-incorporated companies.
Could the European reliance on jurisdictional proxies change?
Yes, policymakers may shift toward more nuanced, measurement-based standards that evaluate actual legal protections and sovereignty rather than relying solely on jurisdictional labels.
Does this mean Canadian AI companies are less secure?
Not necessarily. Canadian companies have strong legal protections; the issue is whether jurisdiction alone accurately reflects data security and sovereignty for European buyers.
What are the next legal or policy developments to watch?
Watch for European regulatory proposals that specify detailed standards beyond jurisdiction, and negotiations on data-sharing agreements that could impact cross-border AI operations.
Source: ThorstenMeyerAI.com
