That's a great question. It's something we actually talked about in our report to the minister in the scope of his task force.
The first piece, which Daniel walked us through, is the pillars of what we recommended. We said to look overall at the picture of scale, because if Canada isn't a place where you can scale a business, it's not going to be a place where you can scale an AI business.
The second piece is sovereignty. We need to be sure that we control our own light switches and plumbing to the maximum extent that we can. That still makes sense commercially.
The third piece, going to Mr. Falk's question, is, what assets we have that are unique. To pick up on Simon's comments earlier about the five-layer cake, the application layer is also incredibly reliant on really high-quality, domain-specific data. We have really good data in Canada. Those pools of data are typically not well governed. They are very split and there's a lot of public sector data that isn't well leveraged that we could be leveraging a lot better.
In the scope of the AI strategy that I understand is forthcoming, one thing that needs to be highly prioritized is how we make public sector data that is domain-specific and high-quality, like geospatial data, agricultural data and mobility data, available to Canadian innovators in a way that helps them scale their businesses and creates a unique selling point for Canada.