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The AI Era of 2030: Reinventing Tech Giants for the Future

An MBA-Level Case Study of Xiao Mi, AI, IoT, and the Future of Global Tech

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What you'll learn

  • Understand how AI and IoT are reshaping products into intelligent ecosystems.
  • Learn how organizations adapt with AI-powered decision-making and agile structures.
  • Explore how health data, mobility, and smart homes fuel AI-driven business models.
  • Gain strategic foresight into the global tech landscape of 2030 and beyond.

Explore related topics

  • Artificial Intelligence (AI)
  • Futures Trading
  • Generative AI (GenAI)
  • Business Analytics & Intelligence
  • Business

This course includes:

7 sections • 32 lectures • 3h 50m total length

  • 4 hours on-demand video
  • Access on Podcast
  • Full lifetime access
  • Certificate of completion
     

Course Content

  1. Section 1: In the AI Era

    2 lessons
    1. Lecture 1: Xiao Mi’s Positioning and Transformation Path in the Age of AI
    2. Lecture 2: Why Study Xiao Mi’s Product Logic and Future Ecosystem?

  2. Section 2: Product Business Logic

    5 lessons
    1. Lecture 3: Xiao Mi Smartphones: The Low-Margin Model and the Ecosystem Gateway
    2. Lecture 4: Xiao Mi TV: The Synergy of Hardware, Content, and the Home Ecosystem
    3. Lecture 5: Xiao Mi Smart Band and Wearables: The Business Value of Health Data
    4. Lecture 6: Xiao Mi Smart Home: IoT Platforms and the Power of Ecosystem Lock-In
    5. Lecture 7: Xiao Mi Laptops and Tablets: The Logic of Breakthrough in a Saturated Market

  3. Section 3: Data × AI Integration

    5 lessons
    1. Lecture 8: Xiao Mi’s Data Advantage: Business Logic and Strategic Significance
    2. Lecture 9: The Evolution of Xiao mi’s AI Assistant “Xiao ai tong xue”
    3. Lecture 10: AI and IoT: From Smart Homes to Smart Cities
    4. Lecture 11: Data Privacy and Security: Market Constraints and Business Challenges
    5. Lecture 12: Edge Computing and AI Applications: Xiao Mi’s Differentiation Opportunity

  4. Section 4: EVs & Future Mobility

    5 lessons
    1. Lecture 13: The Development Path and Market Positioning of Xiao Mi’s Electric Vehicle
    2. Lecture 14: The Cross-Scene Integration Logic of Electric Vehicles and Smartphones
    3. Lecture 15: The Ecological Connection Between Electric Vehicles and Smart Homes
    4. Lecture 16: The Global Market Opportunities and Challenges for Xiao Mi Electric Vehicles
    5. Lecture 17: The Future of Smart Mobility: Global Trends and Xiao Mi’s Strategic Position

  5. Section 5: Organization & Governance in the AI Era

    5 lessons
    1. Lecture 18: Balancing Agility and Governance in the Age of Artificial Intelligence
    2. Lecture 19: The Adaptability of Xiao Mi’s Partnership System
    3. Lecture 20: Investment-Based Ecosystems and the Boundaries of Innovation
    4. Lecture 21: Artificial Intelligence Research and Localization Challenges in Multinational O
    5. Lecture 22: Xiao Mi’s Capital Logic and Efficiency Boundaries in the Age of AI

  6. Section 6: Future Tech & Ecosystem Evolution

    5 lessons
    1. Lecture 23: The Next Step for Artificial Intelligence
    2. Lecture 24: The Long-Term Evolution of AI and IoT
    3. Lecture 25: AI and the Health Industry: Xiao Mi’s Future Potential in MedTech
    4. Lecture 26: Artificial Intelligence and Automobiles: The Future of Smart Mobility
    5. Lecture 27: Sustainable Innovation and Green Technology

  7. Section 7: AI World Outlook & Strategic Insights

    5 lessons
    1. Lecture 28: The Business Landscape of AI: Giants, Platforms, and Ecosystems
    2. Lecture 29: How to Allocate Limited Resources in the Age of Artificial Intelligence
    3. Lecture 30: Governing Cross-Border Ecosystems in the Era of Artificial Intelligence
    4. Lecture 31: The Future of the AI World: Forecasting Social and Economic Trends
    5. Lecture 32: Course Conclusion and Action Guide

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Requirements

  • No prior knowledge needed — this course is designed for anyone curious about AI and the future of tech.
  • No technical or business background required — just bring your curiosity and willingness to learn.
  • Open to beginners and professionals alike who want to understand how AI is reshaping global business.

Description

What will the world’s leading technology companies look like in 2030?

How will AI, IoT, and electric vehicles transform entire industries?

And most importantly — how can you prepare yourself to thrive in this new era?

This course is not about looking back. It is about seeing the future before it arrives. Using Xiao Mi as a living case study, we will break down how a company evolves from selling low-margin smartphones to building one of the most ambitious AI-driven ecosystems in the world.

You will uncover answers to questions like:

  • Why are wearables more than gadgets — but gateways to the trillion-dollar health data market?
  • How can a smart home become the foundation for AI-powered smart cities?
  • What does Xiao Mi’s leap into electric vehicles reveal about the future of mobility?
  • How do companies govern ecosystems that cross industries, borders, and technologies in the AI era?
  • What strategies will separate tomorrow’s winners from companies that fail to adapt?

By the end of this course, you won’t just understand Xiao Mi’s journey — you’ll gain a strategic lens to anticipate where the next battles in AI, data, and global tech will be fought.

No coding. No technical prerequisites. Just curiosity, ambition, and the desire to see the 2030 world of AI-powered enterprises — today.

Who this course is for:

  • This course is for anyone eager to understand how AI will transform technology and business by 2030. It is ideal for professionals who want to sharpen their strategic thinking, entrepreneurs exploring future opportunities, and students interested in the intersection of innovation, AI, and global tech ecosystems. No technical background is required — only curiosity and a desire to stay ahead in the AI era.

Instructor

Garbo Tian

Garbo Tian is a seasoned business strategist and cross-border education entrepreneur with over 15 years of experience in entrepreneurship, investment operations, and institutional partnerships across China, the U.S., and Asia-Pacific.

She is the founder of a cross-border education company with RMB 100 million+ in cumulative revenue, where she built and led academic credit transfer collaborations with over 400 universities and colleges around the world. Her work has helped bridge global education systems, develop sustainable academic programs, and promote East–West learning partnerships.

In the business sector, Garbo has advised on entrepreneurship strategy, ESG integration, and post-investment management across sectors ranging from education to finance.

Garbo is a frequent speaker in both English and Chinese, having delivered over 1,000 professional talks to audiences that include executives, university faculty, policymakers, and international entrepreneurs.

Her academic credentials include:

  • Doctor of Education, University of Southern California (USC)
  • Master's in Economics and Management, University of York, UK

Garbo's courses focus on:

  • Strategic analysis of leading Chinese companies, such as Huawei, Haidilao, Pop Mart, and Xiaohongshu
  • Cross-border business models and how Chinese enterprises scale internationally
  • Real-world MBA-level case studies grounded in system thinking, policy frameworks, and institutional dynamics
  • Entrepreneurial ecosystems and innovation in emerging markets
  • Chinese Culture

Her teaching style combines rigorous research with practical insights, helping learners understand not just what works in business, but why it works—especially in the context of China's fast-evolving market environment.

Her courses are designed for:

  • MBA students and business professionals
  • Entrepreneurs seeking global growth strategies
  • Educators and policymakers interested in Asia's innovation models
  • Anyone looking to understand business logic through real cases

Garbo believes that in a complex world, clarity comes from connecting global strategy with local insight—and that great businesses are built by those who understand both.