AI Ecosystem CourseBy Queensly Austin
Module 31

AI, Society, Economics, And Geopolitics

Introduction Available · Lessons In Development

Introduction

What AI can do is only part of the question. Adoption, institutions, infrastructure, incentives, and human choices shape what happens to work, income, energy, education, and political power. A capability can create possibilities without determining which future will follow. We will use mechanisms and evidence to compare scenarios.

This final module brings the ecosystem together. Distinguish automating a task from changing a job, technical potential from realized productivity, and national ambition from delivered capability. Your final project is a five-page memo: The AI Economy: My Current Mental Model.

Start with productivity and work, then infrastructure and global relationships, then information, education, science, and agency. Label major claims as observed evidence, estimates, forecasts, assumptions, or hypotheses. The aim is an explanation you can revise as the evidence changes.

Planned lessons

  1. Productivity And The Unit Of Output
  2. Tasks And Jobs
  3. Complementarity And Substitution
  4. Evidence From Workplaces
  5. Skills, Wages, And Organizational Redesign
  6. Inequality And Access
  7. Energy And Environmental Implications
  8. Semiconductors, Capital, And Industrial Policy
  9. Sovereign AI And Geopolitical Dependence
  10. Information Ecosystems And Media
  11. Education And Learning
  12. Scientific Discovery
  13. Human Agency And Accountability
  14. Scenario Thinking