Twenty publications across three report series and our open resource collection. Each one reads in full on this site, and each one downloads as an accessible PDF. Nothing sits behind a paywall, a form, or an account.
20 publications shown.
Six data-grounded reports tracing how artificial intelligence is reshaping access, education, entry-level careers, gender equity, regional opportunity and the older workforce — with a consistent lens on Canadian policy relevance and secondary data from Statistics Canada, the CRTC and the OECD.
01
Image: Analysts at computer screens in a shared office, illustrating who has access to digital tools at work.
Canada closed much of its broadband gap. A faster, sharper AI-adoption gap is opening on top of it — tracked by age, income, education, geography and sector.
02
Image: Students seated in rows taking notes, illustrating education for jobs that do not yet exist.
78 million net new jobs by 2030 and 39% of skills turning over — why skills-based education, not job-title training, is the evidence-backed strategy.
03
Image: A young worker completing an exercise on paper, illustrating entry-level work.
Recent-graduate unemployment has overtaken the overall rate for the first time in decades. Stanford, Goldman Sachs and Bank of Korea data on where — and whether — AI is the cause.
04
Image: Two women working together at laptops, illustrating women's participation in the AI economy.
Traced from access to income: a closing usage gap, a static leadership gap, a Canadian entrepreneurship gap — and a genuine paradox at the very top of organizations.
05
Image: A researcher recording observations in a notebook during remote fieldwork.
From fibre to economic development across Northern, rural and remote Canada — the AI adoption gap is inheriting the shape of the broadband gap it followed.
06
Image: An experienced worker at a professional development session, illustrating training across age groups.
The workforce's fastest-growing group is under-trained, not unwilling — and early data suggests AI has so far been kinder to experienced workers than to entry-level ones.
Five independent briefs on enterprise AI adoption, each grounded in research from McKinsey, BCG, PwC, the World Economic Forum, Gartner, Deloitte, IBM and LinkedIn — with our own read on what the evidence means and where the capability gap actually sits.
01
Image: A person arranging notes during a planning session, illustrating a pilot being scoped.
88% of organizations use AI and two-thirds are still piloting. Why the next move is building capability, not running another proof of concept.
02
Image: Charts and notes spread across a working table, illustrating a portfolio of investments.
$2.6–4.4 trillion in annual value, three-quarters of it concentrated in four functions. Treating AI as a governed portfolio of bets, not a pile of disconnected pilots.
03
Image: Colleagues shaking hands across a table, illustrating competitive advantage between organizations.
Five times the revenue growth and three times the cost reduction. The gap between AI leaders and laggards is compounding, not closing.
04
Image: A group meeting around a boardroom table, illustrating strategic decisions about competition.
The market is sorting into three tiers — 5% future-built, 35% scaling, 60% lagging. When everyone has the same models, advantage shifts to speed and judgment.
05
Image: A facilitator presenting to a small group, illustrating leadership guidance on AI.
Only a quarter of workers say leaders give enough guidance on AI. Training budgets are up; the missing input is coming from further up the org chart.
06
Image: A person working alone at a laptop, illustrating a small firm using AI without training.
Small Canadian firms took up AI at nearly the rate large ones did. They trained for it at roughly a third of the rate.
Longer-form studies on who is included in the AI economy and in the training systems that feed it, using named research and Canadian administrative data.
01
Image: A team seated in a circle, illustrating who is represented in AI roles.
AI postings have roughly doubled since 2023 and pay more than double the typical role. Women hold 26% of new hires, 20% of Head of AI roles and 13% of AI C-suite seats.
02
Image: Colleagues working together at a screen, illustrating access to workplace learning.
Training decides who advances, not just who is hired. Disabled and racialized workers face compounded, measurable barriers inside the very programs meant to develop them.
03
Image: A person writing in a notebook beside a laptop, illustrating preparation for a compliance deadline.
Every Ontario business and non-profit with 20 or more employees must file by 31 December 2026 — in the year the largest survey of web accessibility recorded its first reversal in six years.
04
Image: A speaker addressing a seated audience, illustrating a long-term national commitment.
Canada has set out to be barrier-free by 2040. The population the target exists for is growing faster than the barriers are coming down.
Practical tools for evaluators, researchers and community partners doing rigorous work without a dedicated research team. Free to use, with no account, fee, or attribution required.
Toolkit
Image: A team collaborating around a table covered with notes, illustrating an evaluation toolkit in use.
Theory of change templates, indicator libraries, consent and interview guides, and a reporting outline for small organizations without an evaluator.
Checklist
Image: A researcher writing up field notes, illustrating accessible research practice.
Recruitment, consent, session design, and dissemination steps to make a study genuinely accessible to disabled participants and audiences.
Brief series
Image: A person reviewing documents at a desk, illustrating short evidence syntheses.
Short, plain-language syntheses on questions practitioners keep asking, each with a clear statement of how confident the evidence lets us be.
Guide
Image: Two people reviewing work together at a monitor, illustrating editing for clarity.
Practical rules and worked before-and-after examples for turning technical findings into something a busy decision-maker will finish reading.
Everything here stays free to read whether you register or not — a gated open resource is not an open resource. Registering simply means we can send you the research newsletter and note the formats you need. It takes about twenty seconds, and you can leave whenever you like.
