Op-eds, policy analysis, newsletters, and academic work on AI governance and labour economics.
How poorer countries could share in AI’s gains: sovereign wealth funds, benefit-sharing agreements and a global dividend.
Why AI could give entry-level workers more responsibility, if firms redesign junior roles around it.
Extending the National Insurance exemption to all workers under 25.
Why German firms must invest in proprietary AI rather than renting US foundation models.
Why the EU Commission should designate chatbots as Very Large Online Search Engines under the Digital Services Act.
Why the retraining-vs-UBI debate misses the point: distinct interventions are needed for different stages of the AI transition.
Strategy convened by Monika Schnitzer with a Senior Expert Council including Daron Acemoglu, Philippe Aghion and Margrethe Vestager. I wrote the labour market section: an AI-displacement module in the EU Labour Force Survey, quarterly vacancy tracking, a Commission AI Economics Institute, and faster transition support.
Policy report presented at AISI and Department for Business and Trade. Strong accept at AIES 2025. Also published as ‘Enabling AI Safety Information Sharing’ at EuRIPS 2025.
A review of around 20 empirical papers: no aggregate effect yet, but early signs that AI is cutting junior hiring in exposed white-collar jobs.
Develops competition law block exemptions enabling frontier AI labs to share safety-critical information without antitrust violations. Proposes AISI as neutral clearinghouse.
Theory-based index classifying 19,000+ O*NET tasks across four automation dimensions.
BSc thesis supervised by Prof. Ines Helm (Chair of AI in Economics). Grade: 1.0 (highest distinction).
Empirical research led by Dr Bouke Klein Teeselink on how AI restructures the tasks within jobs, using Revelio Labs job-ad data and NLP task extraction.