NCI: Winners & Losers In The AI Race w/ Michael Parekh, Ex-Goldman Sachs Partner

from Lumida Wealth : Non-Consensus Invest Beyond the Ordinary · host Justin Guilder

00:00 Introduction to Non Consensus Investing and Guest Introduction01:45 Deep Dive into AI, Semiconductors, and Social Change29:50 Exploring the Future of AI and Humanoids50:35 The Evolution of Operating Systems and AI Integration54:19 Exploring the Complexities of Voice Control and AI Investments54:49 The Reality of Full Self-Driving Technology: Hype vs. Progress57:33 The Future of AI and Self-Driving: Challenges and Predictions01:06:14 AI's Impact on Job Creation and the Gig Economy01:09:31 The Battle for AI Supremacy in Search Engines01:16:22 Energy Demands and Nuclear Power: A Global Perspective01:23:05 Unpacking the Geopolitical Implications of AI and Technology01:31:41 The Potential of Unbundling in Tech for Innovation and Growth Connect with Us Online:Lumida NewsLumida DealsLumida WealthLumida ETF Watch the video on Youtube: https://www.youtube.com/@Lumida_Wealth🌐 Website: https://www.lumidawealth.com🐦 Twitter Follow us on https://twitter.com/LumidaWealth🎵 TikTok: https://www.tiktok.com/@lumidawealth📸 Instagram: https://www.instagram.com/lumidawealth📘 Facebook: https://www.facebook.com/lumidawealth 

What this episode covers

This episode of Non Consensus Investing podcast, hosted by Ram Ahluwalia of Lumida Wealth, features insights from retired Goldman Sachs partner Michael Parekh on the future of AI, its implications on society, investment, and the competitive tech landscape. The conversation spans AI's role in geopolitics, its influence on search engines, and the transformative effect on various industries, highlighting the race among tech giants like OpenAI, Google, and Meta. Special focus is given to the potential of humanoids, robots, and Full Self-Driving technology alongside AI-driven shifts in market dynamics, advertising revenue models, and the energy sector. The dialogue also tackles the resurgence of nuclear power, semiconductor competition, and the importance of open versus proprietary AI systems in fostering innovation and addressing global challenges, such as clean energy and the U.S.-China technology rivalry.

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This episode is 1 hour and 39 minutes long.

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This episode was published on May 15, 2024.

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