Exploring possible AI trajectories through 2030

OECD artificial intelligence papers 2026 Open access

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Authors: Hamish Hobbs, Dexter Docherty, Luis Aranda, Karine Perset, Kasumi Sugimoto, Rafaƚ Kierzenkowski
DOI: 10.1787/cb41117a-en
Cited by: 0

Abstract

The paper aims to improve understanding of how artificial intelligence (AI) is evolving and explores how AI innovation might advance – or slow down – by 2030. It presents four scenarios for possible AI trajectories by that year, providing a baseline for analysing future developments and their potential impacts.

Fields of Study & Subjects

Artificial Intelligence Applications Ethics and Social Impacts of AI Impact of AI and Big Data on Business and Society

Publication details

Journal / source
OECD artificial intelligence papers
Publication date
2 February 2026