Understanding the Fourth Industrial Revolution

Aug 5, 2024

Lecture on Fourth Industrial Revolution

Introduction

  • First introduced in Swiss mountains
  • Phrase: “Fourth Industrial Revolution”
  • Popular among academics, politicians, business leaders

Key Concepts

  • Coined by Klaus Schwab, founder of the World Economic Forum
  • Described in Schwab's book
  • Technologies like AI, autonomous vehicles, IoT
  • Examples: voice-activated assistants, face ID, healthcare sensors
  • Introduced at World Economic Forum, Davos, 2016

Historical Context

First Industrial Revolution

  • Started: Great Britain, ~1760
  • Spread: Europe, North America
  • Key invention: steam engine
  • Results: new manufacturing processes, factories, booming textiles industry

Second Industrial Revolution

  • Timeframe: late 1800s
  • Marked by: mass production, new industries (steel, oil, electricity)
  • Major inventions: light bulb, telephone, internal combustion engine

Third Industrial Revolution

  • Also known as: Digital Revolution
  • Timeframe: second half of the 20th century
  • Major inventions: semiconductor, personal computer, internet

Fourth Industrial Revolution

  • Main difference from Third: merging of technology with human lives
  • Faster technological change
  • Adoption speed comparisons:
    • Telephone (75 years for 100 million users)
    • Instagram (2 years for 100 million users)
    • Pokemon Go (1 month for 100 million users)
  • Example: 3D printing
    • Growth: business idea to big business
    • 2015: ~200,000 shipments
    • 2020: ~2.4 million shipments
    • Applications: 3D-printed bone, bionic arm

Innovation and Challenges

  • Increase in patents related to Fourth Industrial Revolution: AI, 3D printing
  • Organizations embracing new technologies
  • Struggles of companies and governments to keep up
  • Inequality concerns:
    • Innovators, investors, shareholders benefit most
    • Billionaires driving majority of breakthrough innovations
    • Richest 1% owning nearly half of world's wealth
  • Winner-takes-all economy
    • High-skilled workers vs. low-skilled workers
  • Job displacement and demand for new skills

Privacy Concerns

  • Digital transformation of industries: food, retail, banking
  • Increased data collection from customers
  • User concerns about privacy

Conclusion

  • Many leaders not confident in organizational readiness
  • Fast-changing tech landscape

Closing

  • Presenter: Elizabeth from Davos, Switzerland
  • Suggestion to view other CNBC Explains videos
  • Invitation for comments and feedback