The Impact of AI and Automation on the Global Economy

Professor Introduction

X. S | Ph.D. in Economics

Home Institute： Yale University

Project Description

This project aims to study the impact of Artificial Intelligence (AI) and automation on major economies, including the United States, China, India, and the European Union. The research will focus on both the factual development and application of AI in different countries and its effects on economic growth, income distribution, inequality, international trade, and industrial transformation. Data analysis and econometric methods will be employed to analyze these issues.

Project Keywords

Project Outline

Part 1 :  Introduction to AI and Automation
•  Definition and significance of AI and automation
•  Historical context and technological advancements
•  Overview of AI and automation applications in various industries

Part 2: Theoretical Framework
•  Economic theories related to technological innovation and productivity
•  Impact of AI and automation on labor markets and employment
•  Theories of income distribution and inequality in the context of technological change

Part 3:  Global Landscape of AI and Automation
•  Comparative analysis of AI and automation adoption in major economies (USA, China, India, EU)
•  Government policies and strategies for AI development
•  Case studies of successful AI and automation implementations

Part 4:  Economic Impact Analysis
•  Effects of AI and automation on economic growth and productivity
•  Impact on income distribution and inequality
•  Sectoral analysis: which industries are most affected?

Part 5:  International Trade and Industrial Transformation
•  Influence of AI and automation on international trade patterns
•  Analysis of global value chains and production networks
•  Case studies of industrial transformation driven by AI and automation

Part 6:   Data Collection and Methodology
•  Sources of data (e.g., national statistics, industry reports, international databases)
•  Quantitative methods for analyzing economic impact (e.g., econometric modeling, regression analysis)
•  Qualitative methods for understanding policy impacts (e.g., case studies, expert interviews)

Part 7:  Empirical Analysis Using Econometric Methods
•  Application of econometric techniques to assess the impact of AI and automation
•  Interpretation of results and their implications for economic policy
•  Comparison of findings across different economies

Part 8: Policy Implications and Recommendations
•  Discussion of the policy implications of AI and automation
•  Recommendations for mitigating negative impacts and enhancing positive outcomes
•  Strategies for fostering inclusive growth and reducing inequality

Part 9: Future Directions in AI and Automation Research
•  Identification of emerging trends and challenges in AI and automation
•  Exploration of new data sources and innovative analytical methods
•  Suggestions for future research directions to further understand the economic impact of AI and automation

Part 10: Conclusion and Summary
•  Summarizing key findings from the research
•  Policy recommendations for addressing the economic impacts of AI and automation
•  Suggestions for future research directions

Part 11: Reporting and Presentation
•  Writing a comprehensive research report with clear structure, concise language, and accurate data presentation
•  Preparing and delivering an engaging oral presentation of the research background, methods, results, and conclusions

Suitable for

High School Students:  
•  Interested in economics, technology, and data analysis
• Basic knowledge of economics and statistics

University Students:
• Majoring in economics, finance, data science, or related fields, seeking to deepen understanding and engage in research
• Familiar with basic economic theories, statistical methods, and data analysis techniques