Artificial Intelligence
Foundation models, enterprise AI, multimodal systems and the changing architecture of intelligent software.
Research
Researching the technologies shaping Canada’s next institutional cycle.
Canada Tech Council research focuses on artificial intelligence, responsible deployment, governance, infrastructure, security, emerging computing, automation and enterprise adoption.
Artificial Intelligence
Responsible AI
AI Governance
Agentic AI
AI Infrastructure
AI Security
Emerging Computing
Enterprise Adoption
Published Research
Analysis for technology and institutional leaders.
Publications use visible metadata, source-aware analysis and a clear distinction between observed facts, interpretation and Council perspective.
RESEARCH PUBLISHING SYSTEM
The research library is ready for source-supported publications.
Use Canada Tech Council Site Studio to create research-publication drafts, assign research domains and publish only after evidence and editorial review are complete.
Research Domains
A research agenda across the technology stack.
Each domain is examined through technical change, institutional implications, operating capability, governance and Canadian competitiveness.
Agentic AI
Autonomous and semi-autonomous systems, orchestration, tool use, control boundaries and human accountability.
AI Governance
Accountability, risk, controls, policy, assurance and responsible operating models for AI-enabled institutions.
AI Infrastructure
Compute, accelerators, cloud, data centres, connectivity, data architecture and infrastructure resilience.
AI Security
Identity, data protection, model and application security, cyber resilience and the expanding control surface of AI.
Automation & Robotics
Industrial intelligence, robotics, advanced manufacturing and the convergence of software with physical systems.
Emerging Computing
Semiconductors, advanced computing architectures and adjacent technologies that shape future capacity.
Industry Transformation
How technology adoption differs across financial services, public institutions, healthcare, energy and manufacturing.
Publication Standard
Evidence before assertion
Material factual claims should be traceable to credible sources. Publication dates and source context remain visible.
Observation vs. analysis
Research distinguishes observed information from analytical interpretation, scenario thinking and Council perspective.
Limitations stay visible
Where evidence is incomplete, modelled, directional or uncertain, the limitation should be explicit rather than hidden.
Corrections are part of credibility
Substantive corrections and material updates should be documented so readers can understand how a publication evolved.
Research Collaboration