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Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Vector Institute awards 100 scholarships to Ontario’s top AI graduate students Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement
Canadian AI job market shifting, favouring specialized, i...
Kylie Williams · 2024-10-30 · via Vector Institute for Artificial Intelligence

New report reveals 37% surge in demand for core AI skills in Canada as broader tech roles see decreased demand

Toronto, October 30, 2024 – Today, the Vector Institute issued a new report, prepared by the Conference Board of Canada in partnership with the Future Skills Centre, aimed at better understanding and addressing challenges in building an artificial intelligence (AI) capable workforce in this country. The “Artificial Intelligence Talent in Canada” report highlights a significant shift in Canada’s AI talent landscape with implications for businesses, job seekers, and post-secondary institutions. 

The report reveals a 37% increase in demand for core AI skills from 2018 to 2023. The growing demand is driven by rising needs in knowledge areas like machine learning, deep learning, and AI ethics and governance, which are directly related to AI development and application.

In contrast, demand for peripheral AI skills — those supporting AI use but applicable in other contexts — dropped by 46.4% during the same period. The decrease in demand for peripheral skills like software development and design or cloud computing suggests that automation tools and programs are increasingly augmenting these skills.

“This report offers a crucial industry perspective on AI hiring,” said Melissa Judd, Vice President of Research Operations & Academic Partnerships at the Vector Institute. “It highlights three critical findings: a significant increase in demand for AI skills, the fundamental importance of deep technical expertise for employers, and the abundance of these skills in Canada’s workforce. Early national investment in AI talent development has positioned Canada as a leader in this field. We must now focus on cultivating translational skills that bridge technical expertise with business and domain-specific applications, and increase capacity in AI governance to capitalize on this leadership.” 

Other findings from the report include:

  • Skills related to running AI systems and managing machine learning projects experienced the largest growth with job postings in Canada increasing by 48% and 60% respectively since the lifting of pandemic restrictions. 
  • Canadian start-ups and scale-ups still face challenges in hiring senior, specialized employees, often losing candidates to competitors in Canada and the United States.
  • Larger Canadian organizations in AI-adjacent sectors such as health, retail, and transportation each report challenges in AI adoption, including cost concerns and a lack of AI literacy among decision-makers.
  • While the United States leads in AI adoption and research investment, it faces a significant talent shortage, particularly in advanced AI skills. In contrast, Canada boasts a robust AI talent pool but must focus on leveraging this pool to boost industry adoption and investment. Achieving this leverage is key to attracting and retaining top AI talent and researchers and ensuring Canada remains at the forefront of AI innovation.

To maintain Canada’s AI talent edge, the report contains key recommendations including:

  • Strengthening AI education: Continue producing top-tier AI specialists through advanced research programs at Canadian post-secondary institutions, leveraging Canada’s existing global AI advantage, and expanding programs that foster cross-disciplinary expertise in AI and domains such as health and finance. Canada also needs to support high-quality training for people to integrate AI tools into their existing roles and become more resilient during future labour market changes.
  • Boosting business R&D: Encourage Canadian companies to increase investment in AI R&D, creating opportunities for top talent to innovate domestically and drive economic growth.
  • Bridging academia and industry: Expand work-integrated learning programs, such as internships and co-ops, to connect students with real-world data and AI applications and to help businesses access a skilled AI workforce.
  • Empowering C-suite leadership: Educate executives on AI’s potential, ethical implications, and responsible use to help drive informed decision-making on AI adoption.
  • Implementing AI governance: Establish structures addressing ethics, privacy, and security to build trust and overcome adoption barriers.

“While Canada excels at developing technical talent, a lack of capital investment in research and development as well as slow adoption of emerging technologies threatens to erode this competitive advantage,” said Alain Francq, Director, Innovation and Technology at The Conference Board of Canada. “Continuing to cultivate top-tier AI talent and retaining these professionals will be crucial if Canada is to remain competitive in the global AI landscape.” 

“Technical AI skills are in high demand, but they first require strong foundational information processing abilities. Just as important are soft skills like teamwork and critical thinking, which remain future-proof and, when combined with technology, amplify impact,” said Noel Baldwin, Executive Director at the Future Skills Centre. “As AI reshapes the workforce, ongoing training, lifelong learning, and collaboration between governments, employers, and workers are essential to help people transition into new roles and gain the skills to thrive.”

To learn more, read the full “Artificial Intelligence Talent in Canada” report

For further information or media enquiries, please contact media@vectorinstitute.ai or media@conferenceboard.ca

About Vector Institute

The Vector Institute is an independent, not-for-profit corporation dedicated to advancing artificial intelligence, and excelling in machine learning and deep learning. Our vision is to drive excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. The Vector Institute is funded by the Government of Ontario, the Government of Canada through the Pan-Canadian AI Strategy, and industry sponsors across Canada.

About Conference Board of Canada
The Conference Board of Canada is the country’s leading independent research organization. Since 1954, The Conference Board of Canada has been providing research that supports evidence-based decision making to solve Canada’s toughest problems. Follow The Conference Board of Canada on Twitter @ConfBoardofCda

About Future Skills Centre
The Future Skills Centre is a forward-thinking centre for research and collaboration dedicated to driving innovation in skills development so that everyone in Canada can be prepared for the future of work. We are funded by the Government of Canada’s Future Skills Program.