Most instability comes from the gap.
Systems move one way, people another.

Trust isn’t installed.
It’s built at a pace relationships can hold.

Systems don’t fall apart because we have too much information.
They fall apart when knowledge grows faster than trust, context, and shared meaning can hold it.

Speed matters.
But understanding is still relational.

AI can produce an enormous amount of information.
But information isn’t the same as understanding.

Through my Métis lived experiences, I’ve learned that knowledge moves through relationships, histories, and community.
It’s shaped by how we make sense of things together.

Scale isn’t the story.
Relationship is.
AI gets better when it gives back more than it takes, and when it stays close enough to communities to be held accountable.

The future is still open.
What we choose, and how we relate, still matters.

Systems wobble when relationships can’t hold the speed.

This piece gets at it through the lens of organizational culture + trust dynamics:

www.researchgate.net/publication/...

These questions need more than slogans. If AI is reshaping work, privacy, and power, the real issue is whether our systems can build trust at the pace of that change. Technology doesn’t have to erode democracy, but only if we slow down and look at the relational impacts before they land

I wrote the piece because I wanted to make room for a different way of seeing the future.
Not as something fixed, but as something we keep negotiating together.

Building big with Canadian workers and technology also means building at the speed of trust. The next wave of growth will depend on how well our systems handle relationships - between institutions, communities, and the people affected by these decisions.