AI IN ECONOMICS AND FINANCE EDUCATION: INNOVATIONS, CHALLENGES AND FUTURE DIRECTIONS

The integration of Artificial Intelligence (AI) into economics and finance teaching represents a transformative shift in pedagogical strategies, offering opportunities to enhance learning outcomes and institutional efficiency.This study explores the applications of AI tools, such as generative models and big data analytics, and personalized learning.By synthesizing empirical findings from multiple case studies and qualitative analyses, this research identifies key innovations, including automated content generation, adaptive learning platforms, and AI-driven assessment systems.These tools enable educators to address diverse student needs, streamline repetitive tasks, and foster critical thinking through real-world scenario simulations.However, the adoption of AI also presents significant challenges, such as algorithmic biases, data privacy concerns, and the risk of overreliance on technology diminishing human interaction.The study highlights the necessity of continuous teacher training to effectively integrate AI into pedagogical practices while maintaining ethical standards.Furthermore, institutional support, through updated infrastructure, interdisciplinary collaboration, and policy frameworks, is critical to overcoming barriers like technological inequity and resistance to change.The research employs a mixed-methods approach, combining literature reviews, surveys of educators, and practical implementations of AI tools in classroom settings.Results indicate an increase in AI adoption among educators when supported by structured training programs, alongside improved student engagement in complex topics like financial modeling and economic policy analysis.Case studies from universities in Mexico illustrate how AI can democratize access to advanced resources while fostering global competencies in students.In conclusion, AI serves as a complementary force in education, enhancing, not replacing, the role of educators.Strategic implementation, grounded in ethical considerations and pedagogical goals, can bridge gaps in traditional teaching methods and prepare students for a digitized economy.This study advocates for balanced innovation, emphasizing collaborative efforts between academia, policymakers, and technology providers to create sustainable, inclusive educational ecosystems.