This report outlines a new methodology and provides a first exploratory analysis of technologies and applications that are at the core of recent advances in AI. Using AI-related keywords and technology classes, the study identifies AI-related patents protected in the United States in 2000-18. Among those, “core” AI patents are selected based on their counts of AI-related forward citations. The analysis finds that, compared to other (AI and non-AI) patents, they are more original and general, and tend to be broader in technological scope. Technologies related to general AI, robotics, computer/image vision and recognition/detection are consistently listed among core AI patents, with autonomous driving and deep learning having recently become more prominent. Finally, core AI patents tend to spur innovation across AI-related domains, although some technologies – likely AI applications, such as autonomous driving or robotics – appear to increasingly contribute to developments in their own field.
What technologies are at the core of AI?
An exploration based on patent data
Working paper
Share
Facebook
Twitter
LinkedIn
Abstract
In the same series
-
Working paper
Evidence from selected countries and the European Union
7 May 202658 Pages -
Working paper
Global linkages and the cross‑country distribution of the gains from AI
18 March 202679 Pages -
Working paper
International insights and policy considerations for Italy
11 December 2025100 Pages -
8 December 202543 Pages
Related publications
-
Working paper
Global linkages and the cross‑country distribution of the gains from AI
18 March 202679 Pages -
22 January 202688 Pages
-
23 December 202564 Pages
-
23 November 202510 Pages
-
24 September 202538 Pages
-
Working paper
Implications for productivity and policy
27 June 202562 Pages