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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 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 CEO Update
Ontario’s AI ecosystem: fueling real economic growth with...
Nathan Lalonde · 2025-06-18 · via Vector Institute for Artificial Intelligence

The Vector Institute released its fourth annual Ontario AI Snapshot, produced in partnership with Deloitte Canada. The research indicates that the province’s AI sector has grown significantly, cementing Ontario’s position as a leading global AI hub.  Buoyed by its remarkable concentration of AI talent, the sector is attracting major investments and creating well-paying AI jobs that directly support economic growth.

Canada ranks first among G7 countries in AI talent growth due in large measure to Ontario’s strong and growing concentration of AI experts. Vector’s latest AI snapshot confirms this. The data also indicates that Ontario is becoming a powerful draw for AI companies and investment, providing a direct boost to our economy. To maintain this momentum, we need to ensure leadership in other key areas: we need to increase R&D investment and step up our rate of adoption. Today’s reality is that no matter the size of your business – no matter the field you’re in or the market you serve – there is a place and a use for AI.  It is time to use our AI advantage to make competitive gains, close the productivity gap and attract and retain top talent.

The data specifically indicates that:

  • In 2024-25, Ontario’s AI job market underwent a significant shift, with 17,196 jobs created (+101%) and 39,327 jobs (+8%) retained, driven by growing demand for AI professionals and the expansion of AI initiatives. The job creation and job retention numbers show healthy recovery from last year’s job losses, as many displaced professionals were reabsorbed into other hiring AI companies.
  • There were 5,605 well-paying positions (+26%) filled by highly qualified professionals from AI-related academic programs, which confirms that Ontario continues to excel at AI talent growth.
  • 70 new AI companies were established in Ontario (+312%), and 27 companies relocated to Ontario (+93%), which suggests Ontario remains an attractive investment destination, with Toronto leading the country in the number of AI startups (50 Toronto-based AI start-ups).
  • 413 companies invested a total of $2.6 billion CAD in Ontario-based AI companies–an 8% and 69% increase, respectively.
  • The Ontario AI sector continues to attract more VC funding ($2.6B) than several other sectors combined e.g., energy ($209M), manufacturing ($111M), financial services ($540M), and agriculture ($19M).
  • An estimated $1028M was spent on AI R&D in Ontario, which is an 18% increase compared to the previous year. This data aligns with the country’s global positioning in R&D expenditure, which has been in decline [compared to other G7 countries].
  • Only half (51%) of companies currently leveraging AI have organization-wide AI strategies implemented or in development, which is unchanged since 2020.

View our text-only version

It is acknowledged worldwide that Canada leads in AI talent growth. Materially improving our compute infrastructure, R&D investment, and most significantly, adoption of AI solutions to drive productivity, are critical to retaining top-tier talent and training future talent. Ontario, as an AI hub, is seeing growing VC investments and a surge in new companies. Now is the time to scale these companies and make them globally successful to continue our leadership in the global AI community.

Anthony Viel

CEO of Deloitte Canada

Covering the period from April 1, 2024 to March 31, 2025, the latest Ontario AI Snapshot tracks 10 metrics, which include AI job creation, investment and commercialization. These metrics serve as benchmarks for measuring the collective progress of governments, businesses, and institutions in strengthening Ontario’s AI ecosystem. Further data on the growth of the Ontario AI ecosystem is included in this year’s version of the Snapshot.

The research is based on a combination of business executive surveys (185 executive survey responses), and market insights from industrial and public databases.