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

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
Created byGarbo Tian
Last updated 5/2026
English

What you'll learn

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

Course content

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

  • Xiao Mi’s Positioning and Transformation Path in the Age of AI5:35
  • Why Study Xiao Mi’s Product Logic and Future Ecosystem?5:20

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

（This course contains the use of artificial intelligence.）

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.

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