AI Economic Risk Economist

The Center for AI Risk Management & Alignment (CARMA) is seeking a forward-thinking Senior Economist to join our Geostrategic Dynamics team. You will play a pivotal role in investigating how advanced AI systems will reshape global economic paradigms, risk structures, and power dynamics. This position offers significant intellectual autonomy and the opportunity to collaborate with interdisciplinary experts in international relations, AI, and quantitative modeling, all while contributing to the mission of mitigating systemic risks from transformative AI.

Key Responsibilities

• Develop economic models to anticipate novel systemic risks and vulnerabilities from advanced AI systems.
• Construct scenarios for potential economic disruptions, including deflation, labor displacement, and market concentration.
• Analyze how AI-driven productivity shifts could impact inequality and economic stability.
• Assess concentration of power dynamics across markets, regions, and demographic groups as AI advances.
• Identify early warning indicators for economic instability, financial shocks, and deteriorating living standards.
• Translate complex economic analyses into actionable insights for policymakers and stakeholders.
• Collaborate with interdisciplinary experts to integrate economic perspectives into broader AI safety considerations.

Required Skills & Qualifications

• Advanced degree (PhD preferred) in Economics with expertise in labor and international economics.
• Demonstrated ability to rethink traditional economic models in response to disruptive technologies.
• Strong research or publication record on economic systems and risks.
• Comfort with uncertainty and limited data in predictive modeling.
• Excellent written communication skills for both specialist and non-specialist audiences.
• Self-motivated researcher with a clear interest in AI’s systemic risks.
• Critical thinker with the ability to evaluate economic theories in unprecedented scenarios.
• Familiarity with US and EU policy landscapes and international relations.
• Systems thinking and ability to identify complex economic interdependencies.
• Preferred: Quantitative skills (econometrics, Python, R, or Rust), experience in policy or financial stability analysis, and knowledge of AI impacts.