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Dr. Michael Power argues that Chinese AI, with its open-source approach and cost advantages, is poised to outmaneuver and potentially dominate the U.S. AI industry in the coming years.
Clay Finck explores Daniel Gladiš's book "Hidden Investment Treasures", revealing how the rise of passive investing has created market inefficiencies and opportunities for disciplined value investors to find undervalued stocks across different sectors and geographies.
Dan Ivascyn discusses the changing fixed income landscape, the potential for bond investments in 2025, and the opportunities in global markets amid evolving economic and political conditions.
Steve McLaughlin, founder of FT Partners, shares insights into the future of fintech, highlighting the transformative potential of AI, tokenization of real-world assets, and the importance of building innovative, globally-focused financial technology companies that can potentially become trillion-dollar enterprises.
Nobel Prize-winning economist Paul Krugman discusses the current economic landscape, highlighting concerns about AI's potential bubble, deficit spending, environmental challenges, and the risk of democratic backsliding in America.
Dan Wertman from Noetica discusses how AI is being used to analyze credit market deal terms, revealing a "flight to fortification" with lenders increasingly adding structural protections amid potential market distress and complex AI-related financing structures.
A deep dive into the nuances of leadership, narcissism, and self-awareness, exploring how great leaders balance confidence with humility while avoiding the pitfalls of unchecked ego and destructive self-absorption.
Gene Ludwig and Paolo Bertolotti of ModernFi discuss how their innovative deposit network solution could help community banks survive future financial crises by creating a bank-owned consortium that addresses technology, economic, and alignment challenges in the banking ecosystem.
Ryan Serhant discusses building a $20 billion real estate sales empire by leveraging media, technology, and AI through his company SERHANT, which operates as a media and technology company that sells real estate while empowering agents with innovative tools like the AI-driven S.MPLE platform.
Andrew Ross Sorkin delves into the economic parallels and human dynamics of the 1929 stock market crash, exploring the characters, speculation, and societal shifts that led to one of the most significant financial events in American history.
As U.S.-China trade tensions escalate with new port fees, tariffs, and accusations of economic hostility, the markets experience volatility and uncertainty, reflecting the complex geopolitical relationship between the two nations.
Markets rebound after initial tariff threats from Trump, with stocks recovering and crypto experiencing significant volatility due to leveraged trading.
The podcast discusses potential changes to stock market reporting requirements and explores strategies for teaching children about financial literacy through an interview with a listener mom.
Exploring the potential AI economic bubble, the episode analyzes the circular investment deals between tech companies like NVIDIA and OpenAI, drawing parallels to the dot-com era's financial engineering and warning of potential market instability.
Economists Anna Wong and Danielle DiMartino Booth discuss a massive downward revision of 911,000 jobs, revealing potential underlying weaknesses in the labor market and hinting at the possibility of a double-dip recession.