AI Compliance Divergence: What Professional Services Need to Know About US and Canadian Regulation

If you are a professional services firm operating across North America — or advising clients who do — the AI compliance landscape is shifting faster than most compliance functions can track. The United States and Canada are moving in meaningfully different directions, and understanding that divergence is no longer optional. It has direct implications for how you deploy AI tools, make claims about them, and manage client data.

This briefing sets out what matters now and what professional services leaders should be doing in response.

Canada Is Pivoting Away From a Single AI Law

Canada's original approach to AI regulation centred on the Artificial Intelligence and Data Act (AIDA), introduced as part of Bill C-27. The ambition was to establish a comprehensive, risk-based framework broadly comparable in spirit — though not in scope — to the EU AI Act. That ambition has effectively been shelved.

AIDA in its original form is unlikely to be revived. The new National AI Strategy, published on 4 June 2026 under the title AI for All, signals a deliberate shift. Canada is now prioritising adoption, domestic competitiveness, and sector-specific guidance over a single overarching statute. Regulation will be more targeted, distributed across existing frameworks, and developed incrementally.

For professional services firms, this creates a specific challenge: the absence of a single definitive law does not mean an absence of obligations. It means obligations are harder to locate and easier to overlook.

PIPEDA Remains the Compliance Foundation — and It Is Being Strengthened

While the AI-specific legislative picture clarifies itself, Canada's privacy law continues to carry most of the compliance weight. The Personal Information Protection and Electronic Documents Act (PIPEDA) applies directly to how firms collect, process, and use personal data — and its principles of consent and transparency are squarely relevant to generative AI deployment.

In December 2023, federal and provincial regulators issued joint guidance on using generative AI in compliance with existing privacy law. That guidance is not merely advisory. It reflects how regulators are interpreting existing obligations in an AI context right now.

The picture is tightening further. Bill C-36, the Protecting Privacy and Consumer Data Act, was introduced on 15 June 2026. It introduces stronger privacy management obligations, new requirements to demonstrate compliance proactively, and provisions specifically addressing Canadian data sovereignty. For firms processing data about Canadian clients or employees, this matters regardless of where the firm is headquartered.

The Office of the Privacy Commissioner of Canada has made AI privacy implications a strategic priority through to 2027. It reported a 62 per cent increase in Privacy Act complaints in 2025–26 compared with the previous year. That figure should focus minds. Regulators are not waiting for new legislation to act.

The United States: Enforcement Without a Federal Law

The US situation is structurally different. There is still no comprehensive federal AI statute, and the current political environment does not favour one emerging soon. President Trump's Executive Order on Promoting Advanced Artificial Intelligence Innovation and Security, signed in June 2026, is primarily oriented towards cybersecurity and national competitiveness. It is not a consumer protection framework.

What fills that gap is a combination of state legislation, existing federal statutes, and active enforcement by the Federal Trade Commission.

The FTC's use of Section 5 of the FTC Act — which prohibits unfair or deceptive trade practices — has become the primary federal mechanism for AI accountability. The Commission has brought at least thirteen "AI washing" cases since 2024. The pattern is consistent: companies making inflated or unsubstantiated claims about their AI capabilities, including assertions about bias elimination, clinical accuracy, or the use of AI in ways that bear little resemblance to what the product actually does.

In May 2026, the FTC announced action against three marketing companies over an AI-powered "Active Listening" tool, alleging consumers had been deceived about how the technology operated. The proposed settlement reached $930,000. Notably, seven of the last eight AI-washing cases have involved claims made to other businesses — not just to consumers. That is a direct signal to professional services firms: the marketing copy you use to describe your AI capabilities to clients is regulatory territory.

What This Means for Professional Services Firms Internationally

Whether your firm is based in the UK, the EU, the Middle East, or Asia-Pacific, if you have clients or data in the US or Canada, these frameworks apply to you.

On AI claims and marketing: Review every claim your firm makes about its AI tools, internally and externally. If you cannot substantiate the claim with evidence, remove it. "AI-powered," "bias-free," and "intelligent" are the kinds of descriptors that are drawing regulatory attention. This applies equally to pitch documents, client proposals, and your website.

On data governance: If you are using AI tools that process personal data relating to Canadian individuals — client records, HR data, financial information — you need to assess whether your current practices are consistent with PIPEDA and the forthcoming C-36 obligations. This includes understanding where data is being sent, whether consent has been properly obtained, and whether you can demonstrate compliance if asked.

On human oversight: Both the Canadian framework (through AIDA's stated principles, which continue to influence regulatory expectations) and FTC enforcement posture suggest that meaningful human oversight of AI-assisted decisions is expected. For accountants processing financial data, solicitors using AI in document review, and HR consultancies deploying AI screening tools, this is not a theoretical concern.

On jurisdictional complexity: The US state-level patchwork adds further complexity for firms operating across multiple American states. California, Colorado, Texas, and Illinois each have distinct AI and privacy-related obligations. A unified federal answer is not coming soon, which means compliance programmes need to be designed to address multiple frameworks simultaneously.

The Divergence Is the Problem

The most significant compliance challenge facing professional services firms in 2026 is not any single regulation. It is the divergence between jurisdictions and the pace at which all of them are moving at once.

Canada is stepping back from a single AI law while tightening privacy enforcement. The US is relying on existing consumer protection law while enforcement activity accelerates. The EU is implementing the AI Act. The UK is developing its own regulatory approach. Each regime has a different risk threshold, a different enforcement priority, and a different definition of what responsible AI deployment looks like.

Operating across these environments without a structured compliance programme is no longer a calculated risk. It is an unmanaged one.

How Ops Intel Can Help

Ops Intel works with professional services firms globally to navigate AI compliance obligations across jurisdictions — from PIPEDA and FTC enforcement in North America to the EU AI Act and emerging frameworks in the UK and Asia-Pacific.

If your firm is deploying AI tools, making claims about AI capabilities, or processing client data through AI systems, we can help you identify your obligations, close the gaps, and build a compliance posture that holds up to scrutiny.

Get in touch with the Ops Intel team to arrange a compliance review, or explore our resources on AI governance and international regulatory alignment.