Piece by piece, an Alberta AI strategy is taking shape, and it will touch every business that uses AI here. First, the province released its AI Data Centre Strategy in late 2024. Then its privacy commissioner called for new rules on automated decisions. Meanwhile, Ottawa rolled out a national AI plan of its own. For Alberta companies, this is the moment to lean into AI and to set it up well. We work with local teams on exactly that, so here is our read on what is happening and what to do next.
What Is Alberta Actually Building?
A multi-part plan. Alberta is pairing a push for AI data centres with new privacy and governance rules for AI systems.
The headline piece is the AI Data Centre Strategy, released in December 2024. It aims to make Alberta the most attractive place in North America to build AI data centres. Notably, the province has floated a goal of attracting up to 100 billion dollars in private investment over five years. Specifically, the plan rests on three pillars: power capacity, sustainable cooling, and economic growth. In plain terms, Alberta wants the compute that AI runs on to sit here, close to its energy and its cool climate. As a result, the raw infrastructure behind AI could end up in our backyard rather than another province.
Why Should Calgary Businesses Care?
Because the local AI economy is growing fast. Calgary's tech sector hit record revenue in 2025, and AI companies drove a large share of it.
Calgary Economic Development reported the city's tech sector reached about 4.2 billion dollars in 2025 revenue, up sharply from the year before. Moreover, the tech workforce has grown faster here than in almost any other major hub, by CBRE's count. More compute, more talent, and more funding nearby all lower the cost of building AI into your operations. For example, a logistics firm can now find local engineers and nearby data centres for a project that once meant outsourcing. Therefore the timing favors companies that start now. As the Alberta AI strategy matures, that local edge should only deepen. In addition, lower compute and hiring costs make a pilot easier to justify to a cautious CFO.
What New Rules Are Coming?
Rules on how AI uses personal data. Alberta's privacy watchdog wants clear rights around automated decisions, and the province is reviewing its private-sector privacy law.
In 2025, the province's privacy commissioner recommended a standalone AI law. It pushed for transparency when AI makes a decision about someone, the right to contest that decision, and impact checks for higher-risk systems. Alberta is also reviewing its Personal Information Protection Act. Any business using AI on customer or employee data should therefore expect more duties around disclosure and oversight. We treat that as a design requirement from the start, and the goal is to keep trust intact while you automate. A clear note that an AI helped review an application, for example, can satisfy both a customer and a regulator. That kind of openness also builds trust with the people your AI touches.
How Does the Federal Plan Fit In?
It adds fuel and funding. Ottawa's national AI plan commits billions to adoption, compute, and skills, which complements Alberta's push.
Canada's recent AI plan aims to lift business AI adoption from roughly one in eight firms today toward a clear majority within a decade. In addition, it backs sovereign compute and AI skills across the country. For Alberta, that federal money pairs well with the province's data-centre ambitions and its research institutes. Overall, support sits closer than most owners think. For example, groups like the Alberta Machine Intelligence Institute help smaller firms build practical AI skills. The takeaway is simple: the funding exists, if you know where to look. Ultimately, match a program to a real project you already need, rather than inventing work to chase funding.
Will These Rules Look Like Europe's?
In part, yes. Alberta's proposals echo global frameworks like the OECD AI Principles and the European Union's AI Act.
That alignment matters if you serve customers outside Canada. The EU AI Act starts applying its toughest rules to high-risk systems in 2026, and it reaches any company that touches EU residents. Similarly, the OECD principles call for AI that stays transparent, fair, and accountable. For a Calgary business, the practical lesson is consistency. Build your AI to a clear standard once, and you are ready for Alberta, Ottawa, and Europe at the same time. We design automation with that bar in mind, so a project does not need a costly rebuild later. In short, good governance travels well.
What Should You Do Now?
Start small and build governance in from day one. Pick one workflow, automate it well, and document how the AI uses data.
Here is the practical path we walk clients through:
- Pick a high-volume workflow where AI saves real hours, such as intake, document processing, or scheduling.
- Keep a human in the loop for any decision that affects a customer or an employee.
- Document your data so you can show what the system uses and why.
- Revisit the setup as Alberta's rules firm up over the coming year.
None of this requires a research lab. Rather, it requires a clear first project and a plan to scale. We help Alberta businesses pick that first project and ship it, with workflow automation and document processing as common starting points. If you want a second opinion on where to begin, you can book a consultation with us. For the source material, read the province's plan through the AI Data Centre Strategy and the OECD AI Principles that shape global norms.
