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All issues Issue 06 · June 18 2026

Making Sense.

AI, translated for Canadian business leaders.

Editor's Note

The geopolitics of AI came upon us in full force last week. With a single US export order pulling Anthropic's two most capable models offline across the world, the value of sovereign AI has never looked clearer. It's feeling even more timely that Canada announced its AI strategy earlier this month.

Closer to the ground, Canadian governments are signing partnerships to bring responsible AI into the public service, but workers remain wary. A new survey showed almost all Canadian employees holding concerns about AI in their workplace, and the optimism gap between leaders and their teams persists.

My hope is that we can keep finding the leverage for AI inside real business processes, in ways that change how people work rather than replace them. New models and tools continue to be released that can help get the work done. Now it's up to us to drive the adoption that Canada is aiming towards, and do it in ways that build durable value for our economy.

In this issue
  1. 01
    Access is not capability.
    When a government order can pull a model offline, resilience matters more than adoption speed.
  2. 02
    Three Canadian AI stories from the past two weeks.
    Government AI vendor selection, the AI trust gap among Canadian workers, and Clio's legal-data play.
  3. 03
    Release Radar.
    New models from Anthropic, Google, and Cohere, plus a multi-model API from OpenRouter.
  4. 04
    Four numbers for your next meeting.
    Key numbers on Canada's AI push.
01 — In Focus 4 min read

Access is not capability.

Lines of code on a screen showing an Authentication Failed error message
A US export order pulled Anthropic's Fable 5 offline three days after launch.
AI Strategy Model Risk Resilience

On June 12, a single order from the United States government pulled Anthropic's two most capable models, Fable 5 and Mythos 5, offline worldwide. It was the first time Washington had applied export controls to an AI model itself, and Fable 5 had been public for only three days when it went dark. The deeper issue is dependence, since organizations everywhere now run important work on models they neither own nor control. Prime Minister Mark Carney named the problem directly, calling it "model risk" and comparing it to the 2008 financial crisis, when one failure could spread through a tightly connected system.

"Nobody's done anything wrong in this situation, but we will have done something wrong if we just accept this, don't take the lesson, don't build out and diversify."

Mark Carney · Prime Minister of Canada

That kind of diversification is within reach for any business. The practical move is to stop wiring critical work to a single provider, to keep a tested alternative ready before an outage forces the question, and to reserve the most important processes for models that are stable or that you can run yourself. For most BC businesses the immediate impact of the Fable shutdown was small, yet the risk it exposed is real and growing as more work runs through these models.

Read the full piece
02 — In The News

Three Canadian AI stories from the past two weeks.

Two governments choosing AI vendors with care, workers' unease about AI, and a BC leader buying its independence.

01

Québec and Ottawa are choosing their AI vendors with deliberate care.

The exterior of a Canadian government building with a flag flying

Two separate procurement signals from Canadian governments arrived within a week of each other this month. Toronto-based Cohere signed a memorandum of understanding with Québec, its first agreement of its kind with a provincial government. That arrangement is exploratory and carries no contract or funding yet, focusing instead on planning for digital sovereignty and responsible AI across the public service. Days earlier, the Canadian Centre for Cyber Security gained access to Anthropic's Mythos model.

These were two separate choices by two different levels of government, not one coordinated strategy. These agreements hint at where procurement expectations are heading. Buyers are placing more weight on data residency, on sovereignty, and on the ability to match a particular tool to a particular task.

Read more →
02

Canadian workers are anxious about AI.

An office worker at a desk looking thoughtfully at a laptop screen

A new survey from Express Employment Professionals and The Harris Poll captures a widening divide between how Canadian employers and their staff view AI at work. Among the hiring managers surveyed, 63% report that their company already uses AI in some form, and most expect it to improve efficiency and free up their teams' time. The workers themselves turned out to be considerably more wary. Among workers, 94% reported concerns about AI in the workplace, 78% worried their employer would hire fewer people because of it, and 75% of those already at companies using AI feared eventual workforce cuts.

When a team suspects that AI is meant to replace them, leaders tend to get quiet resistance rather than the productivity gains they expected. The people closest to the work also stop pointing out where the tools genuinely help and where they fall short. The organizations earning real trust treat adoption as a change in how people work, and they frame AI as a multiplier of what their people can do. Since the tools are changing so quickly, they lead with durable principles instead of fixed rules about what AI can and cannot do, and they put real money into training rather than assuming staff will work it out on their own.

Read more →
03

A BC software leader just bought its way to legal-AI independence.

A lawyer working at a desk in a modern office

This month Clio, a Burnaby-based, AI-powered legal practice management software company, acquired Toronto's Jurisage for its AI-ready legal datasets in Canada, as Clio moves its AI from helping run a practice toward handling the legal work itself.

For leaders across professional services, the deal shows how AI competition in these fields increasingly turns on proprietary data and the speed of locking it up. Firms in law, accounting, and advisory work now face a question that runs deeper than whether their tools happen to include AI. The more important question is whose data sits behind those tools, and what that dependence means for their position over the next few years.

Read more →
03 — Release Radar

Recent launches.

  • Anthropic shipped Claude Fable 5, its strongest general-use model yet across coding, knowledge work, vision, memory, and long-context tasks, alongside the trusted-access Mythos 5.
  • OpenRouter released its Fusion API, a compound model that sends each prompt to a panel of several models at once and synthesizes one answer, reaching frontier-level results on research tasks while, in its budget setting, costing roughly half as much as a single premium model.
  • Google released Gemma 4 12B, an open-weights multimodal model that supports native multilingual speech translation, a useful bilingual angle for Canadian work.
  • Cohere released North Mini Code, a 30-billion-parameter open-weight coding model under Apache 2.0 built for on-premise and sovereign enterprise deployment, keeping a Canadian-headquartered option on the shortlist for regulated buyers.
04 — Quick Facts

Four numbers for your next meeting.

  • Canada's new "AI for All" strategy targets a jump from 12% to 60% in business AI adoption by 2034. Prime Minister of Canada
  • In BC, 14.7% of businesses plan to adopt AI within the next year, the second-highest rate in Canada. Government of Canada / PacifiCan
  • Canada's AI strategy commits $2.3 billion in new spending, including $500 million through the BDC's LIFT program to help small and medium-sized businesses adopt AI. Government of Canada
  • Only 44% of large Canadian B2B software firms have adopted agentic AI, versus 67% of their peers in the US, UK, and Israel. BetaKit