Research

Evidence worth
building on.

Research on AI talent and the ecosystems that turn knowledge into useful technology. Read the findings, examine the methods and return to the original sources.

AI talent 01AI ecosystems 02All reports & frameworks

01 / AI talent

Who is building AI?

The Global AI Talent Reports examine the people, skills and institutions behind AI research. These editions document the field as it stood from 2018 to 2020.

Talent & ecosystems · 2020

Global AI Talent Report 2020

Research into AI talent across the value chain: roles, supply and demand, mobility, diversity and methodology.

47 min read

Talent & ecosystems · 2019

Global AI Talent Report 2019

A detailed study of the geography, movement and diversity of AI research talent around the world.

38 min read

Talent & ecosystems · 2018

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

02 / AI ecosystems

How does an ecosystem take shape?

Studies of Canada’s AI ecosystem in 2018 and 2019, tracing its companies, research and connections. Each report retains its original context, charts and available downloads.

Talent & ecosystems · 2019

2019 Canadian AI Ecosystem

The 2019 ecosystem map and analysis of Canadian AI company formation, investment and commercialization.

11 min read

Talent & ecosystems · 2018

Canadian AI Ecosystem 2018

An illustrated map and analysis of Canada’s AI companies, research institutions and growing ecosystem in 2018.

Study edition 20185 min read

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The studies belong to their time. The questions continue through my writing, open-source projects and contributions to public policy.