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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
📄
Full transcript