Google DeepMind is hiring a Senior AI Economist to study how artificial general intelligence (AGI) could reshape the global economy. The role, recently advertised by the AI research division, aims to explore the long-term economic implications of a future where machines match or exceed human capabilities across a wide range of tasks. The job posting describes the position as a chance to lead a new research initiative focused on "post-AGI economics," including the future of scarcity, the distribution of power and resources, and the potential transformation of money, capitalism, and the concept of work. The ideal candidate will have a strong background in economics and be skilled in building economic simulations and models to analyze hypothetical scenarios in a world where advanced AI is widespread. One of the key responsibilities is to challenge existing economic assumptions, particularly around wealth, labor, and value creation. The team will also investigate how AGI might impact labor markets, productivity, and economic inequality. This move comes as Google DeepMind’s CEO, Demis Hassabis, continues to raise concerns about the societal and economic upheaval that could follow AGI’s arrival. Speaking at the World Economic Forum in Davos earlier this year, Hassabis warned that AGI could fundamentally alter the capitalist system, potentially rendering traditional notions of companies, jobs, and money obsolete. He has previously described the potential arrival of AGI as a path toward “radical abundance,” where AI could dramatically increase productivity and eliminate material scarcity. But he also cautioned that without careful governance, such a shift could lead to widespread disruption and inequality. Hassabis has called for the creation of a global, interdisciplinary institution—similar to CERN, the European particle physics lab—to guide the safe development and deployment of AI. He envisions this body bringing together technologists, philosophers, social scientists, and writers to ensure AI evolves in a way that benefits humanity as a whole. Other AI labs are also addressing these questions. Anthropic, for example, is actively recruiting researchers to study AI’s impact on labor markets and economic growth. Google has not yet responded to a request for comment on the new hire. The search for an AI economist underscores a growing recognition across the tech industry that the economic consequences of advanced AI are not just theoretical—they are urgent, complex, and require expert attention now.