US vs Canada: Two Diverging AI Compliance Paths for Professional Services Businesses

The United States and Canada have taken markedly different routes through the AI regulatory landscape in 2024 and 2025. For professional services businesses operating across both markets — or simply watching global trends to anticipate what comes next in their own jurisdictions — understanding these diverging paths is not optional. It is foundational to responsible practice.

This briefing sets out what has changed, what it means in practice, and where your compliance exposure may lie.

The US Position: Deregulation at Federal Level, Chaos at State Level

The defining tension in US AI governance right now is between a federal administration pushing hard for deregulation and individual states legislating at pace.

The Trump administration's Executive Order 14179, issued in January 2025, revoked significant portions of the previous administration's AI order and repositioned federal policy firmly around innovation and US technological dominance. A subsequent executive order in December 2025 went further, seeking to establish a unified national AI policy and challenge state-level AI laws that conflict with federal priorities.

The intent is clear: reduce friction for AI developers and deployers. In practice, however, this has not simplified compliance for businesses. It has fragmented it.

All 50 US states introduced AI-related legislation in 2025, with 145 bills enacted into law across the country. Colorado's AI Act — targeting high-risk AI systems and mandating impact assessments and transparency disclosures — has been revised through SB 189 following significant pushback, but the underlying obligations remain substantive. California has enacted a broad suite of laws covering automated decision-making, generative AI transparency, and deepfake disclosure. The TAKE IT DOWN Act, passed by Congress in 2025, addresses AI-generated deepfakes at federal level.

For any professional services firm with US clients, US staff, or US-facing digital products, this patchwork creates real operational risk. A marketing agency running AI-powered campaigns that touch California audiences faces disclosure obligations. An HR consultancy using algorithmic tools to screen candidates in Colorado must document its approach to bias and impact assessment. An accounting firm deploying AI to support financial recommendations needs to understand where its tools fall on the risk spectrum under applicable state rules.

The Federal Trade Commission remains a meaningful enforcement actor despite the federal deregulatory shift. Its "Operation AI Comply" initiative, launched in September 2024, targeted misleading claims about AI capabilities — so-called "AI washing" — and resulted in enforcement actions against several firms, including DoNotPay, Evolv, Rytr, and IntelliVision. The FTC's willingness to apply existing consumer protection law to AI conduct means that even without new federal legislation, enforcement risk is live. Notably, the FTC reopened and set aside its consent order against Rytr in December 2025, signalling some alignment with the administration's lighter-touch approach, but this does not mean enforcement has stopped — it means its focus is shifting.

The National Institute of Standards and Technology (NIST) AI Risk Management Framework, though voluntary, continues to serve as the clearest practical benchmark for organisations wanting to demonstrate structured, defensible AI governance in the US market.

The Canadian Position: A Legislative Gap, But Privacy Law Fills the Void

Canada's situation is different, and in some respects more precarious for businesses operating there.

The Artificial Intelligence and Data Act (AIDA), Canada's proposed comprehensive AI legislation introduced under Bill C-27, died on the Order Paper in January 2025 when Parliament was prorogued. After years of development and significant industry and civil society critique, Canada now has no binding federal AI law. Discussions about a revised AIDA are ongoing, but businesses should not expect legislative clarity imminently.

What does exist, and what enforcement has made clear is genuinely applicable to AI, is the Personal Information Protection and Electronic Documents Act (PIPEDA). Canada's federal private-sector privacy law applies wherever AI systems process personal data — which, in most professional services contexts, means it applies. The Office of the Privacy Commissioner has issued guidance clarifying how PIPEDA's fair information principles map onto automated decision-making and AI use, covering consent, transparency, and accountability obligations.

The stakes became clearer in May 2026, when a joint investigation by federal and provincial privacy regulators into OpenAI's data collection practices for ChatGPT concluded with a finding of non-compliance. This matters beyond the specific parties involved. It signals that regulators are actively scrutinising how AI systems handle personal data, and that using third-party AI tools does not transfer compliance responsibility away from your organisation.

For professional services firms in Canada — or those serving Canadian clients — the practical takeaway is that PIPEDA compliance is your primary AI compliance framework right now. That means auditing what personal data your AI systems ingest, on what legal basis, with what transparency to data subjects, and with what accountability mechanisms in place.

The government's voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems, published in September 2023, offers some guidance, but voluntary codes do not constitute legal protection.

What This Means for Businesses Outside North America

If your firm is based in the UK, EU, Middle East, or Asia-Pacific, the temptation may be to treat US and Canadian AI compliance as someone else's problem. That is a significant miscalculation.

Professional services businesses are globally connected. Your client data may flow through US-based cloud infrastructure. Your AI tools may be built by vendors operating under US or Canadian data practices. Your clients may be multinationals with operations across multiple jurisdictions, expecting your compliance standards to meet the highest bar in any market you touch.

The divergence between US and Canadian approaches also provides an early signal of what regulatory fragmentation looks like in practice — something the UK and other markets are navigating in parallel. The lesson from North America is that waiting for a single, comprehensive framework before acting is not a viable strategy. Regulators are enforcing under existing law. State and provincial-level obligations are accumulating. Reputational and legal exposure is real now.

Firms that are building AI governance frameworks — documenting their AI use cases, conducting risk assessments, establishing accountability lines, and reviewing vendor agreements — are not over-preparing. They are positioning themselves to operate across multiple regulatory environments without being caught flat-footed by any one of them.

Where Ops Intel Comes In

Navigating AI compliance across multiple jurisdictions requires more than a checklist. It requires a structured understanding of where your obligations lie, what your current AI use looks like in practice, and how to build governance that holds up to scrutiny.

Ops Intel works with professional services businesses globally to assess AI compliance exposure, develop proportionate governance frameworks, and translate complex regulatory requirements into clear operational action.

If you are operating in the US, Canada, or any other jurisdiction where AI compliance obligations are evolving, get in touch with the Ops Intel team to arrange an initial compliance review. The regulatory landscape is not waiting — and neither should you.