The effects of generative AI on productivity, innovation and entrepreneurship

Flavio Calvino, Jelmer Reijerink and Lea Samek

No 39, OECD Artificial Intelligence Papers from OECD Publishing

Abstract: This document reviews experimental research on the impact of generative artificial intelligence (AI) on productivity, innovation, and entrepreneurship. It highlights to what extent AI automates tasks, enhances skills, and transforms business operations. Additionally, this study discusses the role of AI in fostering creativity, accelerating research and development and lowering entry barriers for businesses, while also noting challenges related to trust and human expertise. Findings suggest that AI’s effectiveness depends on the user's experience and the task carried out, with human-AI collaboration being key to maximising its potential. The review identifies gaps in current research, particularly regarding AI’s long-term business effects and workers’ understanding of its limitations, emphasising the need for further studies to guide its responsible and effective use.

Keywords: Artificial Intelligence; Entrepreneurship; Innovation; Productivity (search for similar items in EconPapers)
JEL-codes: C93 J24 L26 O33 (search for similar items in EconPapers)
Date: 2025-06-20
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:oec:comaaa:39-en

Access Statistics for this paper

More papers in OECD Artificial Intelligence Papers from OECD Publishing
Bibliographic data for series maintained by ().