About 13.1 million Canadian jobs are in occupations exposed to AI. We propose a funded, structured national framework so that workers displaced by AI are not left behind.
The ESGAI Initiative is an independent policy effort proposing that the Government of Canada establish the AI Workforce Transition Fund (AWTF): a ring-fenced, separate statutory fund, financed by four corporate levies, that gives each verified displaced worker income support, retraining, health support and start-up help.
Canada's labour data shows strain in hiring, participation and youth unemployment, but it cannot yet show whether AI is the cause. The framework is built to plan for that uncertainty, and its first request to government is to measure it.
The levies track what each firm gains or causes: workers it displaces, productivity it captures, profit where attribution is unclear, and revenue from selling AI into Canada.— Canada's AI Workforce Transition Framework, v21 · November 2026— Cadre canadien de transition de la main-d'œuvre face à l'IA, v21 · novembre 2026
Employment Insurance assumes the same job returns. AI-driven change is structural, and many of these jobs may not. Statistics Canada's September 2026 Labour Force Survey shows Canada lost 68,000 jobs, 48,000 of them held by young workers, and only 30.6% of unemployed Canadians found work within a month, against 36.5% before the pandemic.
The most exposed group, concentrated in insurance, banking, government and professional services.
A mixed group: retail salespeople are highly exposed, cashiers, bartenders and chefs much less so.
Exposed to autonomous vehicles and route optimization.
Facing conversational AI and language-model chat agents.
What the evidence shows, and what it does not. The evidence so far is mixed. Statistics Canada's October 2026 study finds no broad evidence that AI has led to substantial decreases in hiring; the Bank of Canada finds the unemployment-risk gap between exposed and unexposed workers widening. The framework's working hypothesis is that displacement starts silently, as roles that are never filled, and that layoffs follow. It says what would count against it.
Women hold 63.4% of high-exposure jobs (Future Skills Centre, 2026), mainly through clerical and administrative work. No Canadian study yet measures AI exposure for immigrants or Indigenous workers, so the framework asks Statistics Canada to publish it.
Exposure is potential, not realised job loss. Sources: Statistics Canada, Bank of Canada, Future Skills Centre. Full sourcing on the framework page.
The AWTF would raise roughly $250 to $330 billion over ten years in the Base case (illustrative, not yet costed by the Parliamentary Budget Officer). About $204 billion of that does not depend on the Productivity Dividend, the least certain pillar. A federal bridge of up to $65 billion is held as a contingency outside the headline.
Levy base $253B to $332B; the lower figure applies if every Pillar 1 payer also owes Pillar 2. Working figures, not costed by the PBO.
A ring-fenced, separate statutory fund with an independent board. It collects the levies, and the AI Impact Assessment Panel verifies each displacement case.
Unconditional income of about $42,000 a year (70% of median household income) for up to 12 months, or 18 with enrolment in services, then re-entry support. A permanent floor of $33,000 to $36,000 a year for workers whose occupation no longer exists.
Validated modules of 18 months or less. Providers must place 70% of graduates within six months or lose accreditation. SME vouchers.
10 to 15 university research centres, an early-warning system and quarterly reports to Parliament.
Up to 26 therapy sessions a year with no diagnosis needed, peer networks and family support.
A $1,500 monthly top-up for 24 months, $10,000 to $25,000 micro-grants and regional hubs.
A regulatory designation run by the Panel, with open federal-provincial and legal questions. No levy draw.
Read the proposal
The full framework page opens each of the six parts with its sources. The executive summary is a three-page PDF. Working draft, November 2026.
The urgency behind the framework is voiced by people building and deploying AI, and by those who watch its effects. These are their words.
Cards marked “Verified” have been checked against the cited report or transcript. Cards marked “Source check pending” were collected from public interviews and are being checked against their primary sources; they are shown as collected and may be corrected or removed.
“Even under the best circumstances, the transition to this new AI era will be one of the most turbulent times in human history.”Verified against press reproductions, August 2026
“I have a plan to retrain people, relocate people, income-assist people.”Verified: Davos, January 2026 (Fortune)↗ Read on Fortune
“Phase it in. Retrain.”Verified: Davos, January 2026 (Fortune)
“It's going to happen in a small amount of time — as little as a couple of years or less.”
Axios reported that Amodei warned AI could wipe out half of all entry-level white-collar jobs and push unemployment to 10 to 20% within one to five years. That is Axios's wording, not a direct quote.
Verified against the Axios report, May 28, 2025“We, as the producers of this technology, have a duty and an obligation to be honest about what is coming.”Source check pending
“Stop sugar-coating what's coming.”Source check pending
“AI is already replacing and will continue to replace desk jobs that are digitally centric, at an accelerated rate. There will be a lot of trauma and disruption along the way.”Source check pending
“The harder challenge — much harder — is how do people then have meaning? If you're not needed, if there's not a need for your labor, what's the meaning? Do you feel useless?”Source check pending
“This is going to be a massive social challenge.”Source check pending
“Most of the tasks accountants, lawyers and other professionals currently undertake will be fully automated by AI within the next 12 to 18 months.”Source check pending
“Most, if not all, white-collar jobs could be automated within 12 to 18 months.”Source check pending
“Even if we have the most optimistic scenario, it would take minimum 20 years to get there. In the meanwhile, we have massive waves of unemployment.”Source check pending↗ Watch on YouTube (DOAC Emergency Debate)
“If you're making $120,000 a year, and we give you a Universal Basic Income of $36,000, that's a devastating income cut for that worker.”Source check pending↗ Watch on YouTube (DOAC Emergency Debate)
“Any job that goes away ... is painful, very painful.”Source check pending
“We will have to work through societal disruption. No job is going to be immune from AI.”Source check pending
“Within a year, most programmers will be replaced by AI programmers.”Source check pending
“What is it that we have to sell as humans once our body and our mind are replaced? AI and humanoid robots are meant to benefit the top 1% to 10% significantly more than everyone else — which will necessitate a new wealth redistribution policy.”The Diary of a CEO, July 2026 · source check pending↗ Watch on YouTube
“AI could lead to a short-term dystopia. The one thing they don't think of is AI will replace them, too.”Source check pending
“We do have a very messy decade before we switch all our systems over to abundance-based systems.”Source check pending
“AI will almost certainly be the most transformational technology in the history of humanity. What happens to those workers who are replaced when there are no jobs to find?”Senate floor speech, July 2026 · source check pending↗ Watch on YouTube↗ Read on senate.gov
“Even a modest UBI of $24,000 per year per person would still leave those citizens unable to cover a mortgage, car payments, or the most fundamental expense of all: raising children.”ESGAI
Rebuilt around a cohort method for the displacement levy, with a $250 to $330 billion Base-case range, three dial scenarios, six stated objections and three requests to government, including a way to measure silent displacement. Working figures, not yet costed by the PBO.
FrameworkThe AWTF's analytical framework proposes that most AI-driven job loss may not appear in official unemployment statistics, and that it can show up through unfilled vacancies, hiring freezes and quiet attrition. It is a working hypothesis, with five proxy indicators proposed.
ResearchPM Carney's AI for All gets Trust, Opportunity, and Sovereignty right, but contains no displacement fund, no income stabilization and no corporate accountability. Seven gaps, analysed. (Article in English.)
Policy AnalysisWhether you are a researcher, union leader, policymaker, Indigenous community leader, or a worker who has experienced AI-driven displacement, your perspective matters to this framework.
The ESGAI Initiative is building a coalition of voices committed to ensuring Canada acts before displacement peaks, not after.