AI and jobs in Canada: what's changing and what you can do

The short answer

• **Most jobs will change; fewer will disappear outright.** AI usually takes over some tasks inside a job — drafting, sorting, summarising — while people keep the judgement, relationships and responsibility.
• **Office and knowledge work is most exposed.** Unlike earlier automation, generative AI reaches university-educated and white-collar jobs first.
• **Skills with AI are becoming a hiring advantage.** People who use AI well, and know when not to, are in demand.
• **You have rights.** Human-rights, privacy and employment laws already apply when employers use AI.

What the research says

Statistics Canada's 2024 experimental estimates put roughly six in ten Canadian workers in occupations highly exposed to AI. About half of those are in jobs where AI is more likely to complement the work (think doctors, engineers, teachers, where judgement and responsibility stay human), and about half in jobs where it could more easily take over tasks (such as some clerical, administrative and customer-service roles). The rest — many trades, care and manual jobs — are less exposed for now.

Exposure is not the same as job loss. Adoption is still uneven: Statistics Canada's business surveys found that about one in eight businesses used AI to produce goods or deliver services in mid-2025, roughly double a year earlier, and most of those reported no change in their total headcount. The effects so far show up more in hiring for entry-level roles and in how tasks are divided than in mass layoffs. That can change quickly, which is why we track it on our [People & skills desk](/news?section=people).

How different kinds of work are changing

Your rights when employers use AI

Canada has no AI-specific employment law, but the laws you already have apply to decisions made with AI. Employment law is mostly provincial, so details depend on where you work.

• **Human rights.** An AI tool that screens out people because of race, sex, age, disability, religion or another protected ground can be discrimination, whoever built the tool.
• **Ontario job postings.** Since January 1, 2026, employers in Ontario with 25 or more employees must say in publicly advertised job postings if they use AI to screen, assess or select applicants.
• **Electronic monitoring.** Ontario employers with 25 or more employees must have a written policy saying whether and how they monitor employees electronically.
• **Québec.** Under [Law 25](/glossary/law-25), an organisation must tell you when a decision about you is based solely on automated processing, and on request explain the main factors and let you have it reviewed by a person.
• **Privacy.** Federally regulated employers, and those in provinces with private-sector privacy laws, must limit what employee data they collect and use it only for reasonable purposes.
• **Unions.** Many collective agreements now address technological change; if you're unionised, your local can ask for consultation and training.

If you're looking for work: AI in hiring

Many employers use software to sort applications, and some use AI to score video interviews or online assessments. You can use AI too — carefully.

• Tailor each résumé to the posting's actual wording and skills, in a simple format that software can read (no text in images or tables).
• Use AI to check your résumé against the posting and to practise interview questions — not to invent experience. Recruiters notice generic AI writing.
• Ask whether AI is used in the process and whether a person reviews the results; request an accommodation if an automated test doesn't work for your disability.
• Use the Government of Canada's [Job Bank](https://www.jobbank.gc.ca/) to see demand and wages for occupations in your region.

A 90-day plan for workers

Days 1–30: learn by doing

• Pick one assistant your employer allows and use it daily for low-risk tasks: summarising, drafting, planning.
• Complete the free [AI at work Labs path](/labs/work) (in English and French).

Days 31–60: map your own job

• List your ten most common tasks. Mark which ones AI could draft, which it could check, and which need you.
• Pick one task to improve with AI and measure the time saved — that's a concrete result to share with your manager.

Days 61–90: build what lasts

• Strengthen the human side of your role: client relationships, judgement, teaching others, domain expertise.
• Look at training support: the federal Canada Training Credit (refundable, building up to $250 a year for eligible workers) and provincial programs through Employment Ontario, Services Québec, WorkBC and others.

For employers: adopt AI without losing your people

1. Tell staff early what you're testing and why. Involve the people who do the work.
2. Write a short AI policy (see our [template](/guides/ai-for-small-business#policy)).
3. Train everyone, not only the enthusiasts; pay for the time.
4. Keep a person accountable for any decision about hiring, pay, discipline or dismissal.
5. Check AI hiring tools for bias and disclose their use, as Ontario now requires.
6. Look for adoption funding on our [funding page](/funding).