Generative AI and Venture Scaling

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See all articles by J. Daniel Kim

J. Daniel Kim

University of Pennsylvania - Management Department; The Wharton School

Annamaria Conti

Fundación Instituto de Empresa, S.L. - IE Business School

Date Written: July 01, 2026

Abstract

A central challenge in venture scaling is that growing external output typically demands a corresponding increase in human and financial resources. This study investigates how the adoption of generative artificial intelligence (GenAI) reshapes this relationship. Using a panel of U.S. software startups in 2018-2024 and a difference-in-differences design centered on ChatGPT’s release, we find that GenAI adoption does not significantly affect overall hiring or venture funding. Instead, GenAI-adopting startups experience greater adoption of complementary technologies and significant output growth, as reflected in increased website traffic and faster commercialization outcomes. While total headcount remains unchanged, GenAI adoption induces a compositional shift away from junior roles toward senior-level positions. This organizational change is reflected in an increase in internal promotions, suggesting that GenAI enhances the value of labor by accelerating upskilling and internal career advancement. Collectively, our findings demonstrate that GenAI allows nascent firms to accelerate scaling without a proportional expansion in headcount.

Keywords: Entrepreneurship, Artificial Intelligence, Venture Scaling, GenAI, Strategic Human Capital

Suggested Citation

Kim, J. Daniel and Conti, Annamaria, Generative AI and Venture Scaling (July 01, 2026). Available at SSRN: https://ssrn.com/abstract=

J. Daniel Kim (Contact Author)

University of Pennsylvania - Management Department ( email )

The Wharton School
Philadelphia, PA 19104-6370
United States

The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States

Annamaria Conti

Fundación Instituto de Empresa, S.L. - IE Business School ( email )

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