Can startups generate a competitive advantage with open AI tools?
Stephen Michael Impink and
Nataliya Wright
Additional contact information
Stephen Michael Impink: HEC Paris - Ecole des Hautes Etudes Commerciales
Working Papers from HAL
Abstract:
We examine how open source generative AI adoption affects the venture performance of high-tech software startups. Using a matched sample, we find that startups that use generative AI in open product development raise about 15% less funding, especially in competitive markets with many similar AI adopters. However, startups targeting broad markets raise roughly 30% more funding when adopting generative AI early—within six months of its release—before a dominant design emerges. These findings suggest that while early AI adoption in the open can be beneficial, widespread use may erode differentiation. Overall, these results indicate that generative AI is not a silver bullet and may even hinder fundraising when competitive advantages are easily replicated.
Keywords: Generative AI; Strategy; Technological Change; Open Innovation; GitHub (search for similar items in EconPapers)
Date: 2025-08-12
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:hal:wpaper:hal-05384766
DOI: 10.2139/ssrn.5386212
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().