Most people own the AI trade the same way: a handful of familiar US names, bought because everyone else owns them too. This week showed the other half of the story, the part that runs underneath the headlines.

The AI boom does not run on chips alone. It runs on power, land, minerals, and enormous amounts of capital. And on that side of the ledger, Canada holds more cards than the crowd realizes.

From chips to capital

The marquee news was about money, not silicon. Nvidia lined up partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to mobilize more than $500 billion of third-party capital for AI compute infrastructure. Sitting inside that group is a name Canadians know well: Brookfield, which had already launched a $100 billion AI infrastructure program alongside Nvidia.

That is a tell. When the story shifts from who designs the chips to who finances and builds the data centres that house them, the opportunity set widens well beyond a few US megacaps.

The fight is really about power

Closer to home, the AI conversation turned to electricity and control. Ontario unveiled a data-centre framework that will only approve projects that cover the full cost of their own power, with a separate, higher rate class for large new centres and no financial incentives on offer. It followed Oakville becoming the first Ontario municipality to pass a one-year moratorium on data centres. Meanwhile, four companies are vying to build the province’s first lithium mine.

Put it together and the theme is hard to miss. The constraint on AI is increasingly energy, land, and minerals, not just processors. Whoever controls the power and the raw materials controls a big piece of the buildout.

Where Canada holds cards

This is the picks-and-shovels version of the AI trade, and it is a more natural fit for a cross-border audience than another crowded bet on US technology. Canada brings real assets to a global buildout: power generation, critical minerals, and world-class asset managers like Brookfield that are financing the infrastructure directly. In a gold rush, the durable money is often made selling picks and shovels, not panning alongside everyone else.

The point is not that these names will outperform next quarter. The point is that the AI story has a home-market angle that most portfolios completely ignore.

What we would actually do

For a client whose portfolio is heavy in US mega-cap technology, and many are, the first job is honesty about concentration. Owning the same five names as everyone else feels safe precisely because it is common, but it quietly stacks your risk in one corner of one country. Reframing AI around the infrastructure underneath it, the power, the minerals, and the capital, is a way to participate in the same secular story from a different angle.

This is not a stock tip, it is a framing. The disciplined move is to know what you actually own, understand how concentrated it is, and decide deliberately whether a picks-and-shovels, home-market angle belongs alongside it. If your AI exposure is really just a few US tickers, that is worth a conversation.

Frequently asked questions

What is the $500 billion AI infrastructure plan?

It refers to Nvidia’s partnerships with major asset managers, including Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, to mobilize more than $500 billion of third-party capital to build AI data centres and compute infrastructure over time.

What is Ontario’s new data centre framework?

Ontario announced that it will only approve data centres that cover the full cost of their electricity, with a separate higher rate class for large new centres and no financial incentives, so that costs are not passed on to households.

What does “picks and shovels” mean in investing?

It describes investing in the suppliers and infrastructure behind a boom, such as power, minerals, and equipment, rather than the headline product itself. The idea is that the enablers can profit regardless of which end product wins.

How can Canadians get exposure to the AI buildout beyond US tech stocks?

Potential avenues include power generation, critical-minerals producers, and asset managers financing AI infrastructure, several of which are Canadian. The right mix depends on your goals and existing concentration, which is a planning conversation rather than a one-size answer.

Why does AI need so much electricity?

AI data centres run vast numbers of power-hungry processors around the clock, and cooling them adds more demand. That is why access to reliable, affordable power has become a central constraint on where the buildout can happen.

Is this article investment advice?

No. This is general information to help you ask better questions. See the disclaimer below, and speak with an advisor about your specific situation.

Sources: Raymond James, “the Open” (subscription client newsletter, no public URL) | NVIDIA Newsroom https://nvidianews.nvidia.com/news/nvidia-partners-with-apollo-blackrock-blackstone-brookfield-goldman-sachs-and-kkr-to-establish-ai-compute-infrastructure-financing-platforms-to-mobilize-over-500-billion-of-third-party-capital | CNBC https://www.cnbc.com/2026/08/10/nvidia-wall-street-asset-managers-500-billion-ai-push.html | CBC https://www.cbc.ca/news/canada/kitchener-waterloo/doug-ford-ai-data-centre-framework-ontario-moratorium-9.7306166

This article is for general informational purposes only and reflects market conditions as of August 17, 2026. It is not investment, tax, or legal advice, and it does not account for your personal circumstances. Sartorial Wealth specializes in cross-border financial planning between Canada and the United States, and as a dual-registered firm we do not prepare tax returns. Markets and currency levels move quickly, and the figures cited may have changed since publication. Please speak with a qualified advisor before acting on anything here.