AI, Innovation and the Economy
Spring 2027
Assoc. Prof. Chris Ball
Economics Department
Email: christopher.ball@qu.edu
Office phone: +1 203 582 8745
Office Location: 4th Floor Rocky Top Student Center
QU Course Number: EC ...
Days: Tuesdays and Thursdays
Time: 9:30 pm - 11:45 pm
Location: Tator Hall TBD
Office Hours: TBD and As Needed
Spring 2027 Syllabus: TBD
My Substack Column:
https://globalecon.substack.com/
Our QU Econ Research Team:
https://www.globaleconomics.net/
Note: Substack columns are FREE. There's an option to pay monthly to support my work, but I would never ask my students to do that. If you sign up, please just stay on for free!
My Notes and Materials
WARNING! This is currently a rough outline and I make notes and collect materials. Check in late January 2027 more final details.
Module 0: Review Materials
Course Objective
The goal of this course is to understand the implications of AI and other emerging innovations for the economy. We will discuss what innovation means and what AI specifically means. We will discuss economic evaluation of whether these changes are “good” or “bad” and how economists define that. We will learn how to model innovation and how current work is attempting to model AI.
Module 1: Innovation Basics
The History of Innovation
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The Industrial Revolution
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Railroads
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Mechanization and Agriculture
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Did productivity slowdown since the 1970s? (Gary Gorton)
Normative vs Positive Economics
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Making welfare statements in economics: Is AI Good?
Economic Thinking About Innovation
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Comparative Advantage
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Optimal allocation within a firm (MB = MC or profit max and allocation)
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The importance of prices and the price mechanism
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Transaction Costs:
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Coase, Williamson, and North
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Uber, AirBnB, and BlockChains.
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Will AI Replace us ALL?
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The circular flow diagram and macroeconomic reasoning
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Module 2: Modeling Innovation in Economics
Production Functions
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Cobb-Douglas
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Application: Detecting productivity/innovation changes at the firm level
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TFP and Long-Run Macroeconomic Growth
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Adding AI: Task-Based and other Models
Pricing and AI: Will Everything Really be Free?
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Firm Profit Max when Underlying Resources are Limited
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Individualized Pricing (Varion’s 3rd degree perfect discrimination)
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Decentralization and Anti-Monopoly Economies
Module 3: Markets, Competition and Tech Diffusion
Transmitting Innovations Across Space and Time
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Markets and Competition
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Incentives and Endogenous Growth Theories
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Patents and Monopolies
Module 4: Macroeconomic Implications
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Capital Markets
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Blockchain and Crypto
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AI and the FED
Appendix
The IMF's AI page: https://www.imf.org/en/topics/artificial-intelligence
The Economics of Transformative AI website: https://ai.objectives.institute/ai-and-markets
