The right people, around the right problem.

The eight groups

No one has picked yet. This fills as people choose.

• 1 Group 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. No one yet
• 2 Group 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. No one yet
• 3 Group 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. No one yet
• 4 Group 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. No one yet
• 5 Group 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. No one yet
• 6 Group 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. No one yet
• 7 Group 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. No one yet
• Wildcard group. Wildcard group No one yet

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