About the Role
- As a Director AGI Economics at Google DeepMind (GDM), you will be at the forefront of understanding the profound economic transformations that will accompany the arrival of Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). You will lead a new area of research, exploring post-AGI economics, the future of scarcity, and the distribution of power and resources in a world fundamentally reshaped by advanced AI.
- Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
- This role will establish and champion a new workstream focused on AGI economics, building on the foundational thinking of our existing work. You will be responsible for developing and driving a research agenda that moves beyond near-term impacts to ask foundational questions about economics in a world with AGI. Your work will inform GDM's strategy and contribute to the global conversation on how to build a prosperous and equitable future with AGI.
Responsibilities
- Lead and develop the research vision for the AGI Economics workstream, identifying key questions and priorities.
- Design and build economic simulations and models, including agent-based systems, to explore post-AGI scenarios.
- Conduct foundational research on the long-term economic impacts of AGI, questioning existing assumptions about scarcity, wealth, and distribution.
- Collaborate with a multidisciplinary team of researchers across GDM.
- Engage with external experts and institutions to build our research capacity and bring diverse perspectives into our work.
- Communicate your findings internally to senior stakeholders, and externally through publications and other artifacts.
- Building and managing a research team.
Requirements
- A PhD in Economics or a related field, or equivalent practical experience.
- Deep expertise in one or more of the following areas: economic modeling, agent-based simulation, public choice theory, institutional economics, or economic forecasting.
- A strong interest in and understanding of artificial intelligence and its potential long-term societal impacts.
- Proven ability to lead and drive an independent research agenda in a complex and evolving field.
- Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical audiences.
Qualifications
- Experience with programming and data analysis (e.g., Python).
- A track record of interdisciplinary collaboration.
- Experience in engaging with policymakers or other external stakeholders.