A reading of Canada's draft national AI strategy

AI for All, read against the work we already ship.

The draft AI for All strategy names eight priorities — literacy, SME adoption, sovereign infrastructure, safety, and a set of sector missions. We took each one and put it next to engagements futured.ai has already delivered. It's the most honest way we know to say where we fit.

Written from Toronto + Ottawa, Canada. Full analysis in Insights →

The eight pillars, next to the work

On the left, what the draft strategy asks for. On the right, where it already shows up in something we've shipped.

Free AI literacy at national scale

Free AI literacy training for Canadians; thousands of educators with classroom kits; libraries and community orgs as delivery channels.

In our work

We've run cohort-based AI literacy and practitioner training inside R1 universities (U of T, UBC, UMass) — bilingual-ready material, pre/post measurement, and follow-through that survives after the workshop ends.

Business AI adoption, especially SMEs

Raising business AI adoption sharply by 2030, with a federal readiness assessment tool in the plan.

In our work

Our AI readiness work is what an SME would actually use to apply for funding: a scored snapshot across capability, data, governance, and a 90-day plan they can hand to a board or a program officer.

Public compute access for SMEs

Affordable Canadian compute for small and medium businesses, backed by the AI Compute Access Fund.

In our work

We've put real workloads onto Canadian infrastructure for non-profits and clinical teams — the integration work that lets a small org actually use sovereign compute inside the stack they already have.

Sovereign AI and Canadian infrastructure

Public supercomputer, Canadian AI data centres, expanded sovereign cloud, a secure national data platform, a Health Sector Data Space.

In our work

The products our team operates serve 100M+ requests a year (gobio.link, onpox.com). We know what it takes to run production AI on sovereign infrastructure with real observability, evals, and rollback.

AI safety, trust, and transparency

An expanded AI Safety Institute, Canada Trusted AI Certification, watermarking, election protection, online harms work.

In our work

Our audits are sized for the bar a research hospital or public-sector buyer can actually defend — bias, security, safety — with the lightweight governance scaffolding that keeps the audit current after we leave.

Sector missions

Named missions in health care, energy, agriculture, transportation, manufacturing, robotics, and government services.

In our work

Work shipped with SickKids and Lahey on the clinical side, with R1 universities on research and academic operations, and with Oxfam Canada and EnviroCentre on funded-program delivery — the institutional references the missions ask for.

AI workforce and student placements

Student Work Placement, Canada Summer Jobs, Skills for Success, Mitacs ADOPT, AI+X — large-scale youth AI opportunities.

In our work

Our training is built around the actual tools our cohorts will use the Monday after the workshop — academic and government workflows, not abstract demos.

Trusted AI certification and governance

Canada Trusted AI Certification, modernised privacy and online safety laws, protections for children's data.

In our work

We help teams get audit-ready and stay audit-ready — the kind of work that earns certifications rather than re-running them from scratch every renewal cycle.

Where we have references

Sectors where we've already done institutional work — the kind the strategy's missions name directly.

Health careSickKids, Lahey Hospital — the institutional posture the Health Sector Data Space will require.
Education and researchU of T, UBC, UMass — AI+X, Mitacs ADOPT, and post-secondary literacy at R1 scale.
Government servicesWorkflow automation and citizen-facing tools for federal, provincial, and municipal teams.
Non-profit and public goodOxfam Canada, EnviroCentre — funded-program reporting, lean operations, honest measurement.
Energy and natural resourcesOperational AI and forecasting where uptime and reliability are non-negotiable.
Agriculture and manufacturingDecision-support tooling for the sector missions named in the strategy.

If any of this is useful to a team you're on, we're easy to reach.

No federal-brief pitch deck. Just a conversation about what you're trying to ship.