AI Defying all Economic Principles

Categories: Economics Courses
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About Course

 Course Overview

Artificial Intelligence is not just transforming industries; it’s rewriting the rules of economics. This course explores how AI challenges foundational economic principles such as scarcity, labor value, marginal utility, and market equilibrium. Participants will engage with real-world case studies, theoretical frameworks, and predictive models to understand how AI is reshaping supply chains, pricing mechanisms, employment structures, and even the concept of value itself.

 

Learning Objectives

By the end of this course, participants will be able to:

  • Analyze how AI disrupts classical and neoclassical economic models.

  • Evaluate the implications of AI on labor markets, productivity, and capital allocation.

  • Understand the emergence of zero-marginal-cost economies and algorithmic pricing.

  • Explore ethical and policy challenges in AI-driven economic systems.

  • Forecast economic trends in sectors dominated by AI technologies.

 

Training Modules

 Introduction – Economics Meets AI

  • Overview of classical economic principles

  • Historical context of technological disruption

  • Why AI is different: scale, speed, and autonomy

 Scarcity vs. Abundance

  • AI and the collapse of scarcity models

  • Data as a non-rivalrous good

  • Implications for pricing and value creation

 Labor, Productivity, and the End of Human-Centric Value

  • Automation and the decoupling of labor from output

  • AI as a producer and consumer

  • Rethinking GDP and productivity metrics

 Market Dynamics in the Age of Algorithms

  • Algorithmic pricing and demand prediction

  • AI-driven monopolies and market concentration

  • The death of perfect competition?

 Policy, Ethics, and Economic Governance

  • Regulatory challenges in AI-dominated economies

  • Redistribution, taxation, and universal basic income

  • Global inequality and AI’s geopolitical impact

Week 6: Future-Proofing Your Strategy

  • Scenario planning and economic forecasting

  • Building resilient business models

  • Capstone project: Designing an AI-era economic framework

 

 Who Should Attend

This course is ideal for:

  • Economists seeking to update their models for the AI era

  • Business leaders navigating AI-driven disruption

  • Policy makers crafting regulations for emerging tech economies

  • Academics and researchers exploring post-capitalist theories

  • Tech professionals bridging the gap between engineering and economics

 

Key Benefits

  • Gain cutting-edge insights into AI’s economic impact

  • Develop strategic foresight for business and policy decisions

  • Network with cross-disciplinary professionals

  • Receive a Regewall Certificate of Advanced Economic Innovation

  • Access exclusive post-course webinars and research briefs

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What Will You Learn?

  • By the end of this course, participants will be able to:
  • Analyze how AI disrupts classical and neoclassical economic models.
  • Evaluate the implications of AI on labor markets, productivity, and capital allocation.
  • Understand the emergence of zero-marginal-cost economies and algorithmic pricing.
  • Explore ethical and policy challenges in AI-driven economic systems.
  • Forecast economic trends in sectors dominated by AI technologies.

Course Content

AI Defying all Economic Principles
AI Defying all Economic Principles