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The AI Revolution Isn’t What Silicon Valley Promised — with Josh Tyrangiel

Josh Tyrangiel joins Scott Galloway to examine where AI is producing practical gains, where it may create disruption, and why the technology’s consequences depend as much on institutions and human choices as on technical capability.
The conversation challenges Silicon Valley’s grand promises about AI by focusing on concrete applications in healthcare, government, warfare, taxation, employment, education, and journalism. Tyrangiel describes how disciplined implementation helped Cleveland Clinic reduce sepsis mortality and how digital tools improved vaccine distribution, while the hosts debate government modernization, tax inequality, regulation, China’s AI strategy, and the pace of job disruption. They also consider whether AI should support rather than replace human learning and creativity, and why original reporting and direct relationships may become more valuable in an AI-saturated media environment.
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04:27
Separate the technology from the companies.
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07:52
Early detection can make sepsis treatable.
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10:01
Small, focused improvements can save lives
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11:03
AI does not need to be perfect to be useful
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23:29
AI can improve or destroy government
25:05
25:05
AI could deepen tax inequality
40:49
40:49
AI oversight could follow the nuclear model
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44:01
Ukraine is fighting with smarter, cheaper machines
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50:00
Companies will choose AI that costs a fraction as much
54:28
54:28
The real question is the speed of disruption
55:12
55:12
AI could accelerate its own rollout
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56:33
AI works best as a creative sounding board
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1:02:49
Identity formation matters more in the age of AI
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1:06:16
Journalism’s moat is new information
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1:08:08
Build direct relationships with customers