01 · Ideas
Thought
Leadership
Essays on AI economics, responsible AI, societal impact, and what it means to think carefully in the age of LLMs.
Societal Impacts and US Income Distribution in the Age of AI
AI, Productivity, and the Future of Income Distribution: Four Paths for Society
Drawing on Erik Brynjolfsson's GDP-B framework and the macroeconomics of AI, this essay maps four possible futures for how AI-driven productivity growth could reshape income distribution in the United States — and what policy choices would steer us toward or away from each.
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McCoy Family Center for Ethics in Society, Stanford
Reflections on participating in Stanford's Ethics, Technology + Public Policy for Practitioners course — weekly readings, Stanford professors and guest speakers, and a diverse global cohort debating the issues of the day.
How to Think and Essay in the Age of LLMs
The first Gedankenexperiment: on using LLMs as a thinking tool, and what it means to essay — to try, to test, to reason out loud — when the machine can draft faster than you can think.
Economic Future of AI: Automation or Augmentation
McKinsey projects 30% of US work hours could be automated by 2030. Brynjolfsson and Unger sketch the possible forks — and argue that which one we land on depends on policy, not just technology.
AI Technology Trends, Scaling Laws and Meta Cognition
Optimistic about continued AI technical progress — and firm on the need for Responsible AI. Engaging with Leopold Aschenbrenner's Situational Awareness and the question of what scaling laws actually tell us.
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