Mr. Chair, the question was asked in French, so I'll answer in French.
The first question was about risks and considerations relative to digital sovereignty. Here's how we should think about this: Digital sovereignty ensures that two major paradigms are in place. The first is that no one outside the country, at the request of another authority, can access or view our data. The second is an equally important but more recent consideration: No one, at the request of any such authority, can prevent our systems from functioning. In other words, no one can see our data.
Nobody can turn the switch off on Canada.
We are working with Canadian operators to implement both paradigms, for which four highly operational elements must be in place.
The first is control over data residency and storage. The second is control over data as it moves through the environment. In other words, control over the network that must be under Canadian control and on Canadian soil at every data transit point. The third is control over compute infrastructure that decides which scenario or model is used—or, more importantly, not used—at any given moment. The last element is control over governance and oversight infrastructure for all these environments.
Your second question was about the size of the sector and its potential for competitiveness.
Given the growth we foresee across the field of AI, Canada is definitely big enough to support key players and foster an industry in which an entire ecosystem can develop. I would emphasize not only competitive dynamics, but other dynamics as well. Earlier, we talked about how we need full-stack technology. We need a comprehensive ecosystem that includes players who will provide solutions and collaborate on everything from the infrastructure layer to enterprise adoption models and services.