Dynamic Role Allocation: A Scalable System for Maximizing Societal Impact

By tonglu @ 2025-06-27T23:04 (–1)

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:

1. Continuous Updates – Adjusting roles as needs evolve (e.g., pandemic → more biosecurity work).
2. Personal Fit Optimization – Avoiding burnout by accounting for mental/physical health.
3. 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?