State of AI
About

The authors.

This report is written and maintained by two researchers at the Vienna University of Economics and Business (WU Wien). It builds on an ongoing co-authored programme of peer-reviewed research on AI workforce composition, digital innovation, and firm performance.

Christian Schumacher, PhD
Christian Schumacher, PhD
Assistant Professor (tenure-track) · Institute for Strategic Management · Vienna University of Economics and Business (WU Wien)
Bio

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.

Stations
  • 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
Credentials
  • 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)
Research agenda
  • 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.

Selected publications
  • AI Workforce Architecture and Digital Innovation: Complementarity, Governance, and the Value of Balance
    Under review at ICIS 2026 · 2026
  • Build, Apply, Operate: How AI Workforce Portfolio Composition Shapes Firm Value
    Working paper · 2026
  • Search-Build Decoupling: Performance Feedback, Frontier AI Recruiting, and Internal Redeployment after the ChatGPT Moment
    Working paper · 2026
  • AI as a Ruthless Contrarian: How LLM-Powered Devil's Advocacy Enhances Strategic Decision Making
    SMS (Working paper) · 2026
Dr. Can Tihanyi
Dr. Can Tihanyi
Assistant Professor · Institute for International Business · Vienna University of Economics and Business (WU Wien)
Bio

Assistant Professor at WU Wien's Institute for International Business. Decade-long arc on Austria's digitalization — from co-authoring the federal ministry's first major Industrie 4.0 report (2016) to the 1.9M-record AI-workforce panel that anchors this study. Visiting research and teaching at Keio University (Tokyo), Mahidol University International College (Bangkok), and Universidad Pontificia Comillas (Madrid). Doctoral dissertation on digitalization in international business. Current work combines large-scale workforce data with causal inference: a 3,236-firm complementarity panel (ICIS 2026 with Schumacher) studies how AI talent composition shapes firm value and national capability. Teaches Digitalization & Social Media and AI in SME Internationalization at graduate level.

Stations
  • WU Wien · Institute for International Business · Assistant Professor
  • Visiting research and teaching · Keio University (Tokyo) · Mahidol University International College (Bangkok) · Universidad Pontificia Comillas (Madrid)
  • Co-author · Austria's first federal Industrie 4.0 report (2016)
  • PhD · Digitalization in International Business
Research agenda
  • AI workforce composition and firm value

    Co-investigator on the build-apply-operate program. ICIS 2026 submission with Schumacher: 3,236 U.S. firms, 18,010 firm-years, 369-role taxonomy validated to Fleiss' κ = 0.84.

  • Mittelstand digitalization and AI adoption

    Decade-long research program on demand-side investment in absorptive capacity, from the 2016 Industrie 4.0 report through today's 97-percent zero-AI-firm finding. Continuity of the structural diagnosis across two technology waves.

  • Austria's AI workforce

    Co-author of this report. 1.9M+ Austrian employment records, 107,532 firms, eight-year panel, benchmarked against 37 European peers.

Selected publications
  • Industrie 4.0 und ihre Auswirkungen auf die Transportwirtschaft und Logistik
    BMVIT — Austrian Federal Ministry for Transport, Innovation and Technology · 2016
  • AI Workforce Architecture and Digital Innovation: Complementarity, Governance, and the Value of Balance
    Under review at ICIS 2026 · 2026
How to cite this report

How to cite this report

Version 4.0 · 5 May 2026

Plain text
Christian Schumacher, Can Tihanyi (2026). State of AI · Austria · 2026. Version 4.0. https://stateofai.at.
BibTeX
@techreport{stateofai_austria_2026,
  title  = {{State of AI · Austria · 2026}},
  author = {Schumacher, Christian and Tihanyi, Can},
  year   = {2026},
  note   = {Version 4.0},
  url    = {https://stateofai.at},
  institution = {Vienna University of Economics and Business (WU Wien)}
}