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Citrini unveils his "26 Trades for 2026" thematic watchlist, focusing on the emerging "phase two" of the AI trade, which emphasizes utilizing AI to streamline bureaucracies, reduce headcounts, and improve corporate margins across various sectors.
Rennick Palley, founder of Stratos, discusses how he built four top-decile crypto funds by developing a disciplined, mathematically grounded approach to portfolio construction and investing in crypto with a focus on fundamentals, strategic allocation, and understanding the evolving market dynamics.
A deep dive into Bitcoin treasury companies reveals a sector struggling with performance, leverage risks, and market sentiment, while exploring broader investment opportunities in AI, energy, and the potential long-term value of Bitcoin.
Jason and Alex analyze MicroStrategy's declining Bitcoin strategy, discuss Tether's S&P downgrade, and explore a New York Times article about David Sacks' role in the Trump administration while also examining emerging robotic technologies like Sunday Robotics and Matic.
Google's strategic shift to sell TPUs to Meta and the release of Gemini 3 signal a potential challenge to Nvidia's dominance in the AI chip market, sparking market speculation about the future of AI technology.
Natalie Brunell discusses her book "Bitcoin is for Everyone," exploring how Bitcoin offers hope and solutions to systemic financial problems, drawing from her immigrant background and experiences during the 2008 financial crisis.
A candid conversation with Matt Morgan exploring how to make money through cryptocurrency and AI, while emphasizing the importance of financial education, risk tolerance, and ultimately pursuing freedom over material possessions.
Lyn Alden discusses the current state of the U.S. economy, AI investment, Bitcoin, and the potential for an AI bubble, highlighting the two-speed economy driven by AI capital expenditure and fiscal deficits while expressing a moderate bullish outlook on AI's long-term transformative potential.
A deep dive into the potential AI infrastructure bubble, examining how massive tech spending on data centers and GPUs could lead to an economic crash similar to past technological infrastructure booms.