Canadian Publishers Battle AI Over Copyright in 2026

There’s a ton of misinformation flying around about Canadian publishers and AI, especially when it comes to the law and how these new partnerships are shaking out. The whole messy world of AI legal fights and news deals is creating some serious headaches, but it’s also opening doors for content creators and tech devs who are smart about it.

Myth 1: AI Can Freely Use Any Online Content for Training Without Legal Repercussions

This idea is everywhere, and it’s just wrong. The belief that anything public on the internet is a free-for-all for AI training completely misses how copyright works. In Canada, the Copyright Act gives creators sole rights to copy, publish, and change their work. When an AI model “learns” from an article, photo, or video, it’s making copies and processing them, which can easily violate those rights. Publishers, who’ve poured millions into original journalism, aren’t taking this lying down. Major Canadian news organizations have made it clear they’ll protect their IP. The Canadian Association of Journalists (CAJ) is also pushing for clear rules and payment for using journalism to train AI, arguing that letting companies scrape copyrighted work for commercial AI threatens independent news itself. AI developers often try to hide behind “fair dealing,” which allows limited use for things like research or education. But the commercial scale of how large language models (LLMs) hoover up massive amounts of copyrighted material for profit makes that a very weak defense. Canadian courts are flexible on fair dealing, but they look at the purpose of the use, how much was used, and the effect on the original work. Training a commercial AI on millions of articles to make money is a world away from a student quoting a few lines for a school paper. The legal experts I talk to mostly agree: the sheer volume and commercial intent of AI data scraping go way beyond what fair dealing was ever meant to cover.

Myth 2: Publishers Are Uniformly Opposed to All AI Technologies

It’s easy to think publishers see AI as just an enemy, a machine for stealing jobs and content, but the reality is way more complicated. Yes, protecting their intellectual property and getting paid are the top priorities, but many publishers are also actively exploring and using AI to improve their own work, find new readers, and get content out faster. The goal is to find a way for AI to fit into their business without bankrupting them. We’re already seeing partnerships take shape. Some big Canadian media groups are not only suing AI companies but are also in licensing talks with them. These deals are meant to create a legal way for AI developers to use publisher content in exchange for clear payment and usage terms. These collaborations involve more than just letting an AI scrape a website. They often include working together on how AI can summarize news, create personalized feeds, or even help with reporting workflows. Some publishers, for instance, are using AI-powered tools for content creation for things like transcription, translation, and generating first drafts of routine stories (think earnings reports), which frees up journalists for real investigative work. It’s about giving reporters better tools, not replacing them. A recent Public Policy Forum of Canada report, “News in the Age of AI” (you can find it on their site, [Public Policy Forum](https://ppforum.ca/)), confirms this dual strategy, showing that as legal fights heat up, so do these kinds of business deals. Publishers are trying to secure their future, which means smart engagement with tech, not just blocking it.

Myth 3: Canadian Copyright Law Is Not Equipped to Handle AI Challenges

Some people argue that Canada’s copyright law is too old and weak to handle AI. That view really underestimates how adaptable our legal principles are and ignores what policymakers are already doing. The Copyright Act was last updated in a big way in 2012 and obviously didn’t mention generative AI by name, but its core ideas about protecting original works and giving creators control are as relevant as ever. The government isn’t asleep at the wheel. Innovation, Science and Economic Development Canada (ISED) is deep in consultations with everyone from publishers and AI devs to legal experts, trying to figure out how to update copyright law for AI training and AI-generated content. They’re talking about everything from new exceptions for AI to collective licensing models. Our current legal system, for all its faults, gives publishers a solid foundation to defend their rights. Lawsuits are happening now, and how they play out will set the tone for how courts apply these old laws to new tech. Legal systems always adapt to technology. They don’t just break. The core principles of who owns what are strong, and we’re just in the process of figuring out how they apply in this new context.

Myth 4: All AI-Generated Content Is Automatically Owned by the AI Developer

This is a really confused area, mostly because people don’t get what “authorship” means in copyright law. The idea that a developer automatically owns anything their AI spits out is a massive oversimplification. In Canada, copyright belongs to the “author,” and that has always meant a person. Can an AI be an author? Or is the author the person who wrote the prompt? That’s what legal scholars are fighting about right now. As it stands, the dominant view in Canada is that copyright requires human creativity and judgment. If an AI generates something all on its own with no real human guidance, its copyright status is a big question mark. But if a person uses an AI as a tool, like a photographer uses a camera, then the human is the author. This is a huge deal for publishers. Why? Because if an AI trained on unlicensed news articles spits out something that’s basically a copy or a derivative of that work, the original publisher could have an infringement claim, no matter who “owns” the AI’s output. The legal issue becomes the stolen source material. The Canadian Intellectual Property Office (CIPO) has basically said it’s watching what other countries do on AI authorship and will issue guidance later. It’s an open question, and anyone claiming they flat-out own AI-generated content is getting way ahead of themselves.

Myth 5: Legal Battles Are the Only Way Publishers Are Addressing AI

Lawsuits get the headlines, but they’re just one piece of the strategy for Canadian publishers. The real picture includes a ton of lobbying, industry-wide collaborations, and direct talks with AI developers. Publishers know that suing everyone is expensive and doesn’t always lead to the best long-term outcome. So, outside the courtroom, they’re all over Ottawa, pushing for new laws to ensure they get paid fairly for their content. They’re also teaming up to negotiate collective licensing agreements with AI firms. The idea is to create a simpler process where AI companies get legal access to huge archives of quality content, and publishers get paid market rates. Industry groups like the Canadian Media Producers Association (CMPA) and News Media Canada are leading these talks, trying to build a system that keeps Canadian content creation alive. This shows they’re taking a smart, two-pronged approach. They’re fighting when they have to, but they’re also building bridges where it makes sense. AI is a force of nature that has to be managed, not just fought. For anyone in this business, working through 2026’s global regulatory maze is going to be key, and the new rules will have big effects on business. For example, the EU AI Act is pushing for transparency, and that pressure will almost certainly shape standards here in Canada, too.