Global AI Talent Pool Report 2018
The 2018 study of the global AI talent pool, with country-level data, research observations and the original methodology.
Study edition 201821 min read
A reading guide
AI depends on people, institutions and the connections between them. These studies examine where expertise is concentrated, how it moves and how research, companies and investment shape an ecosystem.
The global talent reports evolve from studies of research expertise and professional profiles toward a broader view of roles across the AI value chain. Samples, sources and definitions change between editions. Their headline numbers should not be treated as a single directly comparable time series.
The Canadian ecosystem reports map companies, research and investment. In particular, the 2019 ecosystem report studies January through December 2018. Each report’s methods and caveats explain what its figures include and what they cannot establish.
These are historical findings, not estimates of today’s AI workforce. The reports retain their original illustrations and references, with visible author credits and citation notes. The downloads remain unchanged; corrected resource links accompany PDFs that still contain links to the former domain.
Selected essays and research
The 2018 study of the global AI talent pool, with country-level data, research observations and the original methodology.
Study edition 201821 min read
A detailed study of the geography, movement and diversity of AI research talent around the world.
38 min read
Research into AI talent across the value chain: roles, supply and demand, mobility, diversity and methodology.
47 min read
An illustrated map and analysis of Canada’s AI companies, research institutions and growing ecosystem in 2018.
Study edition 20185 min read
The 2019 ecosystem map and analysis of Canadian AI company formation, investment and commercialization.
11 min read