
Assistant Professor (tenure-track) at WU Wien's Institute for Strategic Management. Works with large-scale workforce datasets to study how firms allocate attention, capability, and human capital under AI-driven discontinuity: 1.9M+ Austrian employment records here, 30M+ individuals across the S&P 500 in his frontier-AI work, and a 1,927-firm panel in the workforce-architecture program. Previous stations: Copenhagen Business School (tenure-track Assistant Professor, 2021–24), Harvard University (Schumpeter Fellow, Weatherhead Center, 2019/20), and visiting research at INSEAD Singapore, Tsinghua Beijing, and Keio Tokyo. Marie Curie Fellow of the European Commission (2022–24). Teaches AI-Driven Decision-Making and AI for Business at WU Wien.
- WU Wien · Institute for Strategic Management · 2024–present · Assistant Professor (tenure-track)
- Copenhagen Business School · 2021–24 · Assistant Professor (tenure-track)
- Harvard University · Weatherhead Center · 2019/20 · Schumpeter Fellow
- Visiting research · INSEAD Singapore · Tsinghua Beijing · Keio Tokyo
- PhD Management · University of Vienna (summa cum laude) · supervisor Markus Reitzig
- MSc Economics · MSc Business Administration · BSc Philosophy (analytic)
- Marie Curie Fellow · European Commission (2022–24)
- Workforce architecture and AI value capture
How firms combine Build, Apply and Operate roles in balanced architectures. Multi-paper program built on a 1,927-firm S&P panel and a 3,236-firm complementarity panel; four co-authored studies, two under review at top journals.
- AI brain-drain dynamics post-ChatGPT
Search-Build decoupling: how performance shortfalls reduce frontier-AI recruiting and accelerate deep-AI departures since November 2022. S&P 500 panel, 30.5M individuals, 65.6M job postings, three-coder taxonomy validation.
- AI as Devil's Advocate in strategic decisions
Two pre-registered experiments testing whether LLM-powered counter-argumentation debiases high-stakes choices. Working paper at SMS; the empirical anchor for the AI-Driven Decision-Making course at WU Wien.
- Austria's AI workforce
The empirical foundation of this report: 1.9M+ Austrian employment records, 107,532 firms, eight-year panel, taxonomy κ = 0.84. Twelve-month research project with Tihanyi.
- AI Workforce Architecture and Digital Innovation: Complementarity, Governance, and the Value of BalanceUnder review at ICIS 2026 · 2026
- Build, Apply, Operate: How AI Workforce Portfolio Composition Shapes Firm ValueWorking paper · 2026
- Search-Build Decoupling: Performance Feedback, Frontier AI Recruiting, and Internal Redeployment after the ChatGPT MomentWorking paper · 2026
- AI as a Ruthless Contrarian: How LLM-Powered Devil's Advocacy Enhances Strategic Decision MakingSMS (Working paper) · 2026
