What if we could algorithmically match individuals to optimal roles based on:
- Skills & experience
- Health & location constraints
- Personal motivation
- Real-time global priorities (e.g., AI safety, biosecurity, poverty)
This goes beyond traditional career advising (e.g., 80,000 Hours) by:
- Continuous Updates – Adjusting roles as needs evolve (e.g., pandemic → more biosecurity work).
- Personal Fit Optimization – Avoiding burnout by accounting for mental/physical health.
- Decentralized Governance – Could this work via incentives (e.g., impact-weighted salaries) rather than mandates?
Open Questions:
- How could this avoid authoritarian pitfalls?
- Has any country/org tried similar systems (e.g., Singapore’s talent-matching)?
- Could AI improve dynamic labor allocation for EA goals?
