Description:
- Develop economic models to anticipate how advanced AI systems could create novel systemic risks and vulnerabilities
- Build scenarios for potential economic disruptions from rapid AI advancement, including deflation, labor displacement, and market concentration
- Model how AI-driven productivity changes could interact with existing economic structures to create new forms of inequality or disruption
- Analyze potential concentration of power dynamics across markets, regions, and demographic groups as AI capabilities advance
- Identify early warning indicators for economic instability, financial system shocks, and deteriorating standards of living
- Translate complex economic risk analyses into actionable insights and present to policymakers, multilateral institutions, and other key stakeholders
- Collaborate with interdisciplinary experts to integrate economic risk perspectives into broader AI safety considerations
Requirements:
- Advanced degree (PhD preferred) in Economics with expertise in labor economics and international economics
- Demonstrated ability to rethink traditional economic models in response to paradigmatic disruptions
- Strong publication or research record showing original thinking on economic systems and risks
- Comfortable with uncertainty and using limited data, to predict novel economic phenomena
- Excellent writing skills with proven ability to communicate complex economic concepts to non-specialist audiences
- Self-motivated researcher with demonstrated interest in AI’s systemic risks
- Strong critical thinking skills for evaluating competing economic theories in unprecedented scenarios
- Familiarity with US and EU policy landscapes and basic understanding of international relations
- Systems thinking capability to identify complex interdependencies between economic factors
- Training in econometrics or other applied quantitative methods
- Coding proficiency (e.g., Python, R, or Rust) for economic risk modeling
- Experience working in policy, multilateral institutions, or government contexts
- Understanding of systemic risk analysis and complex adaptive systems
- Knowledge of AI capabilities and their potential economic impacts
- Background in macroprudential analysis or financial stability research
- Experience with scenario planning or other foresight methodologies for identifying emerging risks
- Familiarity with political economy approaches to power distribution and concentration
- Experience analyzing the impacts of technological transitions or structural economic changes
- Background in behavioral economics relevant to human responses to economic disruption
Benefits:
plus good benefits for U.S. employees