Report

Global AI Talent Report 2020

Taking AI from research to real-world impact is a long value chain that depends on a range of skill sets and experience. It is common to see people who can, and do, fill multiple roles as some of the rarer skills are in need across the value chain. Even so, this report’s authors think it is useful to categorize and explore these roles separately to better understand what it takes to build and run AI solutions and what accessibility to that talent looks like.

This report is divided into four primary sections. The first section is an introduction and executive summary with the rankings of the top countries by talent pool totals. The second explains the different specialized technical roles along the value chain of productizing AI, from research to deployment. The third section explores arXiv data, a pre-publishing platform that is the closest thing to a census of AI research, and looks at location, movement, and gender. Finally, the fourth section is where jfgagne look at their early estimates of supply and demand in industry for all of the different roles covered in the first section. They touch on methodology throughout and have included an appendix that summarizes methodologies, as well as another appendix summarizing areas for further exploration to add more granularity to these new metrics.