post-labor-economics
Post-labor economies with automation, UBI, and wealth distribution
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill post-labor-economics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Post-Labor Economics Guide ## Overview Post-labor economics studies the economic consequences of advanced automation -- the possibility that AI and robotics will displace human labor at a scale and speed that overwhelms traditional adjustment mechanisms. While technological unemployment is an old concern (dating to the Luddites and Keynes's "Economic Possibilities for Our Grandchildren"), the current wave of AI capabilities has made the question urgent: what happens to labor markets, income distribution, and economic growth when machines can perform most cognitive and physical tasks? This is not science fiction. The academic literature on task displacement, skill-biased technological change, and automation risk has produced substantial empirical findings and theoretical frameworks. Researchers from economics, political science, sociology, and computer science are converging on these questions. This guide covers the key theoretical models, empirical evidence, policy proposals (UBI, robot taxes, stakeholder funds), and methodological approaches for studying the economics of automation. It is designed for researchers entering this rapidly growing field and for those in adjacent disc
- Overview
- Theoretical Frameworks
- The Task-Based Model of Automation
- Skill-Biased vs. Routine-Biased Technological Change
- Empirical Evidence
- Automation Risk Estimates
- Measuring Automation Exposure
- Policy Proposals
- Universal Basic Income (UBI)
- Alternative Distribution Mechanisms
- Modeling Automation Impact
- Research Methods
- Data Sources for Automation Research
- Best Practices
What does the post-labor-economics skill do?
Post-labor economies with automation, UBI, and wealth distribution
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill post-labor-economics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.