Dominik Asam, M.Sc.
Doktorand und wissenschaftlicher Mitarbeiter
Innovation and Entrepreneurship Research
+49 89 24246-568
dominik.asam(at)ip.mpg.de
Arbeitsbereiche:
Economics of Artificial Intelligence, Innovationsökonomie, Entrepreneurial Finance
Wissenschaftlicher Werdegang
Seit 10/2024
Doktorand und Wissenschaftlicher Mitarbeiter am Max-Planck-Institut für Innovation und Wettbewerb (Innovation and Entrepreneurship Research)
02/2024 – 05/2024
Gastforscher, University of Cambridge
08/2022 – 01/2023
Auslandssemester, Bocconi University
10/2021 – 04/2024
Master of Science (M.Sc.) in Management & Technology mit Schwerpunkten in VWL und Informatik, Technische Universität München (TUM)
09/2019 – 01/2020
Auslandssemester, EM Normandie Business School
10/2017 – 03/2021
Bachelor of Science (B.Sc.) in Management & Technology mit Nebenfach Informatik, Technische Universität München (TUM)
Beruflicher Werdegang
Seit 07/2019
Mitgründer & Geschäftsführer von CompCast
03/2023 – 07/2023
Founder’s Associate Intern bei Tanso
10/2021 – 05/2022
Wissenschaftlicher Mitarbeiter am Max-Planck-Institut für Innovation und Wettbewerb
06/2021 – 10/2021
Werkstudent im Siemens AI Lab
05/2020 – 06/2021
Projektleiter des sozialen Startups “Waterfilter” von Enactus München
01/2020 – 04/2020
Venture Capital Analyst Intern bei Lucatis
Ehrungen, Stipendien, wissenschaftliche Preise
06/2026
Best Young Scholar Paper Award - DRUID Konferenz 2026
07/2025
Best Paper Award - Entrepreneurial Finance Association 2025 Annual Meeting
07/2024
Bundesbank Wissenschaftspreis für herausragende Abschlussarbeiten
09/2022 – 09/2023
Deutschlandstipendium
Publikationen
Diskussionspapiere
(2024). Generative AI and Firm-level Productivity: Evidence from Startup Funding Dynamics. DOI
- New general-purpose technologies have the potential to fundamentally change the dynamics of entrepreneurial firms. This paper provides new evidence on the impact of Generative AI on startup productivity: We argue that valuable but non-exclusive technological innovations can be a source of competitive advantage if entrepreneurs leverage them as complementary assets to their existing skill set. To show this, we exploit the release of GitHub Copilot as a quasi-natural experiment affecting software-developing startups. We find a significant reduction in the time-to-initial-funding, an early-stage productivity indicator, by about 20% relative to comparable startups. These effects are strongest for startups whose founders have more technological or managerial experience. Our analysis highlights the considerable implications of GenAI as a new resource available to decision-makers, shaping startup dynamics and productivity.
Vorträge
15.10.2025
Open Source AI and Downstream Innovation
Research Seminar Fall 2025, Max-Planck-Institut für Innovation und Wettbewerb
Tutzing
09.10.2025
Generative AI and Firm-level Productivity: Evidence from Startup Funding and Employment Dynamics
ZEW Sixth International ZEW Conference on the Dynamics of Entrepreneurship (CoDE), ZEW
Mannheim
05.06.2025
Generative AI and Firm-level Productivity: Evidence from Startup Funding and Employment Dynamics
Barcelona School of Economics Summer Forum (Workshop on Economics of Science and Innovation)
Barcelona, Spanien
12.04.2025
Generative AI and Firm-level Productivity: Evidence from Startup Funding and Employment Dynamics
SMJ Strategy & AI Workshop, Strategic Management Journal/New York University
New York City, USA
02.04.2025
Generative AI and Firm-level Productivity: Evidence from Startup Funding and Employment Dynamics
European Central Bank Conference on the transformative power of AI: economic implications and challenges, European Central Bank
Frankfurt am Main
28.03.2025
Generative AI and Firm-level Productivity: Evidence from Startup Funding and Employment Dynamics
Research Seminar Spring 2025, Max-Planck-Institut für Innovation und Wettbewerb
Zugspitze
25.11.2024
Generative AI and Firm-level Productivity: Evidence from Startup Funding Dynamics
LMU Innovation Workshop
München
25.09.2024
Generative AI and Firm-level Productivity: Evidence from Startup Funding Dynamics
Research Seminar, Max-Planck-Institut für Innovation und Wettbewerb
Martinsried/Planegg