Talent in the 2018 report
Evidence you can use
Talent in the 2018 report
Historical snapshot: June 2018. Dates and populations are specified per row.
| Measure | Reported value | Definition and source |
|---|---|---|
| Specialist talent estimate | 22,000 | Element AI estimate of PhD-educated AI researchers and engineers.2018 report, PDF page 57 |
| ICML papers with Google/DeepMind author | 6.3% | Share of ICML 2017 papers in the cited analysis.2018 report, PDF page 61 |
| Women among NIPS registrations | 17% | Share of registrations in 2017; not all AI researchers.2018 report, PDF page 68 |
Talent estimates, paper authorship, and conference attendance have different denominators. They should not be combined into a single workforce estimate. Diversity data were incomplete.
Sources and dates
Historical snapshot published June 29, 2018. This web edition was prepared on 2026-10-11 from the online deck and original launch posts. Findings and forecasts retain their original time frame.
- 2018 report, PDF page 57Original 2018 report. This edition has no printed slide numbers. References use one-based PDF pages.
- 2018 report, PDF page 61Original 2018 report. This edition has no printed slide numbers. References use one-based PDF pages.
- 2018 report, PDF page 68Original 2018 report. This edition has no printed slide numbers. References use one-based PDF pages.
- State of AI Report 2018: online slides
- Stories from Air Street launch essayJuly 29, 2018.
Cite this page
Benaich, Nathan, and Ian Hogarth. “Talent in the 2018 report.” State of AI Report 2018. Historical report snapshot; web edition prepared 2026-10-11.