Industrial-AI Labs
Where AI engineers and sector practitioners — manufacturing, mining, forestry, fisheries, clean energy — work shoulder-to-shoulder on real problems.
Working concept · Think-tank track
A working concept note from the BC + AI Ecosystem Think-Tank: an industrial-AI focus area only B.C. can deliver — where AI collides with manufacturing, resource sectors, clean energy, indigenous data sovereignty, and the gritty work nobody else is optimising.
Visual: BC + AI Ecosystem industry convening
The Challenge
Finance Minister Brenda Bailey put it bluntly at the Dillon Centre summit: “Before we beg Ottawa for an ‘AI institute’, we need to ask: do we actually need one? If yes, it has to be laser-specific — something only B.C. can deliver. My hunch? An institute where AI collides with industrial tech: manufacturing, resource sectors, the gritty work nobody else is optimising.”
This working paper braids that call for focus with the BC + AI ecosystem’s on-the-ground knowledge to articulate an idea worth co-building — first with local partners, then with Ottawa once the shape is locked.
Invitation
Everything is iterated in the open. The paper is a starting point, not a position.
Concept architecture
Where AI engineers and sector practitioners — manufacturing, mining, forestry, fisheries, clean energy — work shoulder-to-shoulder on real problems.
Shared compute infrastructure built on B.C.’s clean grid. Public-interest access alongside commercial use.
First Nations data sovereignty as a design principle, not an afterthought. Governance built with Nations from day one.
The retraining + redeployment layer for workers whose jobs reshape under AI. Trades and tradespeople, not just coders.
A pipeline from research outputs into B.C.-grown industrial-AI companies — capital, mentorship, and patient procurement.
Practical safety, audit, and red-teaming infrastructure where regulators, builders, and civil society work the same problems.
Where it fits
This is not a meetup chapter — it’s a working policy track. It draws on the same grassroots community as Vancouver AI, Surrey AI, the AI Ethical Futures Lab, and ED + AI, and feeds findings back into them.
The paper’s “Near-Term Ecosystem Tasks” section names the small, concrete moves we can take this year — convenings, demos, partnership letters — before the institute itself is provincial-scale infrastructure.
Get involved
Public links
Full concept note: challenge, strategic thesis, six-pillar architecture, governance skeleton, pilot menu, funding mix.
The broader state of the BC + AI ecosystem this paper is grounded in.
Recent policy positions, partner announcements, and the rest of the public ecosystem signal.
Related communities
Civil society and policy
The civil society and policy companion track: monitoring, public consultation, toolkits, and laptops-out sessions.
Flagship
The flagship monthly gathering. Where ideas from think-tank tracks get pressure-tested in conversation.
Forming
The companion forming subgroup for privacy engineers, security practitioners, and data stewards in BC’s AI stack.