22657: AI and Entrepreneurship

Saturday, July 26, 2025

12:30 - 14:30 CEST (GMT+2)

Location: Bella Center: Hall D- D4-m3

Session Type: PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/5npk6L

Organizer(s)

NR

Nathan Rietzler

Northeastern University, United States
MZ

Miaomiao Zhang

Harvard Business School, United States
JL

Jacqueline Lane

Harvard U., United States

Panelist(s)

TA

Thomas Astebro

University of Toronto, Canada
SC

Susan L. Cohen

U. of Georgia, United States
RN

Ramana Nanda

Imperial College London, United Kingdom
HK

Hyunjin Kim

INSEAD, Singapore
CS

Chiara Spina

INSEAD, Singapore
TF

Teppo Felin

Utah State U., United States

This workshop explores the intersection of entrepreneurial processes, ecosystem design, and artificial intelligence (AI). Entrepreneurship is inherently a dynamic and iterative process, shaped by the feedback, resources, and structures provided by the broader ecosystem. With AI increasingly permeating entrepreneurial practice, it presents unique opportunities to enhance feedback mechanisms, optimize decision-making, and support venture growth. This PDW focuses on two key themes. The first examines the ecosystem’s role in entrepreneurial learning, highlighting how feedback and evaluations from diverse sources—mentors, peers, investors, and crowd platforms—serve as critical support mechanisms, as well as the impact of accelerators, incubators, and tailored training programs on entrepreneurial journeys. The second theme addresses the transformative role of AI in bolstering the entrepreneurial ecosystem. AI tools offer unprecedented capabilities for real-time, personalized advice, and scalable experimentation. We will discuss how technologies as such empower entrepreneurs and ecosystem supporters to enhance responsiveness to market signals and leverage data- and theory-informed strategies. Participants will gain insights into entrepreneurial ecosystem design and technology’s role in shaping the future of entrepreneurship research and practice.