Step 1 of 3

Choose the problem that calls to you.

Choose one problem group

Problem 1 Break the Silos: Canada's Locked Health Data When hospital records stay siloed, promising care-delivery AI cannot move across provinces or reach the people who need it. Fragmented data, funding, and procurement leave better outcomes trapped in isolated pilots and make regional equity harder to protect. If health data could move safely, who would benefit first, and who might still be left behind? Group size will appear here
Problem 2 Beyond the Pit: Sustainably Implementing AI in the Resource Economy Canada has the resources and clean-power advantages to lead in responsible AI for energy, mining, and critical minerals, but adoption remains thin. The stakes are bigger than efficiency: deployment can reshape safety, jobs, environmental impact, and data rights in resource communities. What would sustainable AI in the resource economy protect, as well as improve? Group size will appear here
Problem 3 Championing Adoption: Building the AI Bridge for Marginalized Industries and Workforces AI adoption is concentrating in a few well-resourced sectors while smaller firms, regions, and workers on the margins struggle with cost, data, expertise, and literacy. If the country accelerates without widening access, the productivity gap becomes a competitive gap that compounds across communities. What would it take for the next wave of AI adoption to close the divide instead of widening it? Group size will appear here
Problem 4 Escape Pilot Purgatory: Outcomes Over Hype Everyone is trying to implement AI for better outcomes, but value stalls when a promising pilot never changes the work around it. Without workflow redesign, usable data, governance, and people who can carry the change, organizations spend on experiments without improving the outcomes that mattered in the first place. What would have to change in the work, not just the tool, for this pilot to produce a better outcome? Group size will appear here
Problem 5 Stop the IP Leak: Scaling Innovation Beyond Incubation Canada can produce world-class AI research and companies yet lose the IP, talent, scale capital, and anchor customers that turn invention into lasting value. When innovation built here scales elsewhere, Canadian jobs, productivity, and sovereignty follow it out. What would make the next Canadian breakthrough easier to scale here than to sell elsewhere? Group size will appear here
Problem 6 Earn the Trust: Educating Users and Empowering Organizations AI literacy, training, and trust are uneven, and the gap is costly for small and medium-sized businesses and marginalized communities with less access to digital resources and learning. Without practical support and clear governance, they can lose competitive advantage, fall behind the market, and be excluded from decisions that shape their work. Whose knowledge and access would need to change before AI could genuinely expand opportunity? Group size will appear here
Problem 7 Feed the Machines: Sovereign Compute and the Grid Canada has clean power, critical minerals, and a short window to build sovereign AI capacity, but grid queues, permitting, and community opposition are slowing the connection between compute and power. If the infrastructure is built elsewhere, Canada may export the value while carrying the costs of energy, water, land, and ratepayer pressure. What should Canada be willing to build, and what should it refuse, in order to power AI here? Group size will appear here
Wildcard group Propose a problem the other seven miss. Everyone votes on these, and the idea with the most votes becomes the eighth problem. Group size will appear here

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