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AI and the Future of Business: Industry Shifts & Innovation

AI strategy for leaders: industry transformation, governance, business models, future of work & career planning

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What you'll learn

  • Map AI disruption across platforms, content, manufacturing, mobility, smart cities, robotics, supply chains, healthcare, finance & public policy.
  • Use leader-grade frameworks: Digitalization 1.0 to 3.0, the AI tech stack, objective functions, closed loops, and 3R AI governance.
  • Think like an MBA strategist: grasp AI’s waves, limits, and why foundation models change the rules of competition.
  • Deliver a capstone: build an AI opportunity matrix and a 5-10 year transformation roadmap—plus a personal career strategy for the AI age.

Explore related topics

  • Artificial Intelligence (AI)
  • Business Strategy
  • Business

This course includes:

7 sections • 31 lectures • 7h 8m total length

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

Course Content

  1. Section 1: Entering the AI Era and Facing What Comes Next

    1 lesson
    1. Lecture 1: Entering the AI Era and Facing What Comes Next

  2. Section 2: From Intelligent Emergence to the 4th Industrial Revolution

    5 lessons
    1. Lecture 2: Why AI Is Becoming a Foundational Technology？
    2. Lecture 3: From Digitalization 1.0 to 3.0
    3. Lecture 4: Deep Learning and the Four Waves of AI: What Can AI Do and What Can It Not Do?
    4. Lecture 5: Large Models and Emergent Intelligence: Why Does Scale Change the Game?
    5. Lecture 6: How Should Enterprises Understand AI as Infrastructure?

  3. Section 3: Digitalization 3.0 & Industry Transformation I: Consumer Internet & Content

    5 lessons
    1. Lecture 7: How Internet AI Reshapes Advertising and E-commerce？
    2. Lecture 8: NLP and Generative AI: Rewiring Search, Content Production, and Education
    3. Lecture 9: Computer Vision, Deepfakes, and the Crisis of Trust
    4. Lecture 10: Next-Generation Infrastructure for the Experience Economy?
    5. Lecture 11: Media, Entertainment, and the Creative Industries: When AI Becomes a Co-Creator

  4. Section 4: Digitalization 3.0 & Industry Transformation II: Manufacturing, Mobility, Cities

    5 lessons
    1. Lecture 12: From Industry 4.0 to Smart Manufacturing: How Can AI + IoT Reshape Factories?
    2. Lecture 13: Autonomous Driving and Smart Mobility: Competing on a Trillion-Dollar Track
    3. Lecture 14: Smart Cities and Green AI: New Infrastructure for a Net-Zero World
    4. Lecture 15: Embodied Intelligence and Robotics: From Assembly Lines to Home Assistants
    5. Lecture 16: Supply Chains, Logistics, and Unmanned Systems

  5. Section 5: AI in Healthcare, Finance & the Public Sector

    5 lessons
    1. Lecture 17: AI + Healthcare: From Protein Folding to Precision Medicine
    2. Lecture 18: AI + Finance and Insurance: Risk Management, Pricing, and “Career Re-Design”
    3. Lecture 19: AI + Agriculture and Food: From Autonomous Farms to Personalized Nutrition
    4. Lecture 20: National-Level Opportunities and Red Lines
    5. Lecture 21: XR, Culture, and Tourism: How the Experience Economy Is Being Rewritten?

  6. Section 6: Work, Organizations & the New Social Contract

    5 lessons
    1. Lecture 22: Will Jobs Be Replaced or Upgraded? How AI Reshapes Employment Structures?
    2. Lecture 23: Organizational Transformation in the Age of AI
    3. Lecture 24: Happiness Metrics and AI Governance: Who Is Technology For?
    4. Lecture 25: The 3R Principle of AI Governance: Responsible, Resilient, Relevant
    5. Lecture 26: How China, the US, and Europe Compete and Cooperate in the Age of AI?

  7. Section 7: Strategy Toward 2045: Corporate Innovation & Personal Careers

    5 lessons
    1. Lecture 27: When AI Pushes Productivity to the Extreme?
    2. Lecture 28: Mapping the Landscape: How to Systematically Discover AI Opportunities?
    3. Lecture 29: Business Model Innovation: From Selling Products to Selling “Intelligent Capabil
    4. Lecture 30: Designing Your Career: How Not to Be Sidelined in the Age of AI?
    5. Lecture 31: Final Project and “AI Future Manifesto”: Turning Insight into an Actionable Plan

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Requirements

  • No coding or math prerequisites—this is a strategy and business-focused course.

Description

If your job is to make decisions, you need a map—not more noise.

The market is flooded with tool demos and prompt tricks. This course is different: it’s a strategy-first, MBA-style guide to understand the forces reshaping industries, competition, and careers—and to respond with structured thinking.

What you’re really buying is clarity.

You’ll learn how to connect the dots between foundation models, scaling, digital economy shifts, and real industry economics—so you can stop reacting and start planning.

A panoramic view across the real economy (not one department).

Instead of staying in “marketing” or “content,” you’ll see how transformation plays out across:

  • platforms, recommendation, content and search
  • trust and information integrity (deepfakes, verification, governance)
  • manufacturing, IoT, digital twins, smart factories
  • mobility and autonomous driving business impact
  • smart cities, green computing constraints, energy optimization
  • robotics and embodied intelligence
  • healthcare, drug discovery, medical imaging, precision medicine
  • finance/insurance risk, pricing, fraud, and productivity
  • supply chains under shocks and volatility

You’ll think like a strategist, not a spectator.

This course gives you reusable frameworks to evaluate:

  • where value concentrates and why (objective functions, feedback loops)
  • what scales, what breaks, and what must be governed
  • how business models evolve (platform, subscription, outcome-based, API economy)
  • how global competition and regulation shape market paths (US–China–EU dynamics)

What you will produce (not just “understand”).

By the end, you will finish with tangible outputs you can use at work:

  • an opportunity map for an industry or company you care about
  • a 5–10 year transformation roadmap with priorities, sequencing, and risk checkpoints
  • a clear career strategy built on task-level thinking (what gets automated, what gets upgraded)

Why this course performs better than “tool-only” courses.

  • It stays useful even when tools change, because it teaches strategy, governance, and business model logic
  • It is built for leaders and professionals, not engineers
  • It integrates opportunity + risk + execution in one coherent framework
  • It ends with a capstone that turns insight into action

No coding required. High leverage for decision-makers.

If you want a globally relevant, executive-ready course on AI strategy, digital transformation, industry disruption, governance, and the future of work—this is your full map.

Who this course is for:

  • Business leaders, managers, and executives who need a clear, strategic view of how AI is reshaping industries—not just how to use tools.
  • Strategy, consulting, corporate innovation, and product leaders building AI roadmaps, evaluating opportunities, and managing transformation risks.
  • Entrepreneurs and founders designing AI-enabled business models and looking for a structured “industry map” of where value will shift.
  • MBA/EMBA students and ambitious professionals who want an MBA-style, framework-driven understanding of AI’s impact on the economy, organizations, and society.
  • Professionals planning their next career move and aiming to stay valuable in an AI-driven labor market through a clear personal strategy.

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.