Human Centered
The Complexity Economist - W. Brian Arthur
Mar 5, 2020
W. Brian Arthur, a leading economist and complexity theorist, delves into the intricate ties between technology and the economy. He discusses how technological innovations are often driven by functional needs, not just creative sparks. The conversation also highlights how geographic concentration can boost creativity and collaboration, as seen in places like Silicon Valley. Arthur explores the future of economies shaped by automation and the pressing need to address wealth concentration and collective responsibility. His insights bridge complexity with real-world implications.
40:28
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Quick takeaways
- Technological evolution results from the combinatorial merging of existing ideas, reshaping innovation into a problem-solving rather than individual creativity process.
- The shift from a production to a distribution-focused economy raises concerns about job displacement and emphasizes the need for equitable resource access amidst automation.
Deep dives
Evolution by Combination
Technological evolution often occurs through the combination of existing ideas and technologies rather than through random invention. The concept of 'combinatorial evolution' posits that new technologies emerge by merging elements of older ones, much like how language utilizes existing words and phrases. For instance, radar technology required specific inventions like the cavity magnetron to function, emphasizing the interconnectedness of technological advancements. This framework shifts the focus of innovation from individual creativity to problem-solving within a sociotechnical context.
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