Milk Road AI

In this episode of Milk Road AI, Ronnie breaks down a simple but ruthless framework for investing in AI, one that ignores buzzwords and focuses on what actually drives long-term returns: data, distribution, margins, and real-world adoption.~~~~~🧠 ⁠⁠Stop feeding closed AI. Try Okara, open-source AI, zero data leakage.⁠⁠⚡ ⁠⁠Exploding energy demand needs smarter grids, meet Fuse Energy. ⁠⁠~~~~~⁠⁠⁠🤖 Get the drama, the deals, and the smartest ways to invest in AI with Milk Road AI Newsletter.⁠⁠⁠~~~~~✊ Follow Milk Road on Social Media:👉 Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://x.com/MilkRoadAI⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👉 YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@MilkRoadAI⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👉 Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://link.milkroad.com/spotify-mr-ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠👉 Apple Podcast: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://link.milkroad.com/applepod-mr-ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠~~~~~🎙 GUEST INFO 🎙RonnieV: https://x.com/TheRonnieVShow📃 Disclaimer 📃The information presented in this video is for educational and informational purposes only. It should not be considered as financial, legal, or tax advice. The speakers are not licensed financial advisors or registered investment advisors. Investing in cryptocurrencies carries significant risks, including the potential for substantial losses. The speakers do not guarantee any specific outcome or profit.

Kris Patel, a retail investor and AI market commentator, delves into why AI represents a monumental, long-term investment shift akin to the internet. He explains that investors should focus on firms like Meta, which is leveraging AI for ad monetization, while others miss the mark. Kris emphasizes the importance of gradual investing over time and discusses the rising electricity demands driven by AI and data centers. He also highlights opportunities in energy infrastructure, positioning AI as a driver for future growth in the sector.

Explore the exciting shift of AI from screens to the real world, focusing on robotics as a key investment area. Hear discussions on the economic advantages of robots over traditional labor. Get insights into key players like Tesla and Boston Dynamics. The hosts delve into the future of training using simulations and the challenges of translating these models to the real world. Finally, they contemplate the scaling implications for robotics, indicating a transformative period ahead for physical intelligence.

Eric Jackson, founder of EMJ Capital and a savvy investor in AI and crypto, argues that AI is vastly underestimated and not overhyped. He discusses how AI is reshaping crypto markets and why the most significant opportunities for investment lie in app layers, not just data centers. Jackson also reveals his bullish long-term visions for Bitcoin and Ethereum, emphasizes AI's role in revitalizing local commerce, and introduces his innovative EMJX model, designed to hedge against market volatility while leveraging AI for growth.

Duncan and Patrick uncover the reasons why fears around AI funding risks are overstated, revealing that much of the AI buildout is fueled by operating cash flow. They highlight compute and power as the real bottlenecks, not money. OpenAI is positioned as the pivotal player in future infrastructure demands. The discussion includes ambitious power buildout plans and how scaling improvements can enhance various real-world tasks. They also touch on the political implications of AI adoption and ongoing knowledge gaps in organizations.

Dan Ives, a renowned technology and Wall Street analyst, dives deep into the world of AI, comparing its current landscape to the early days of the internet. He dispels the myth of peak AI spending, citing ongoing demand and low enterprise adoption. Ives highlights the U.S. dominance in the AI race, thanks to Nvidia, while envisioning a future where humanoid robots transform industries. He also stresses the importance of diversified investments in AI and warns about potential power constraints, linking nuclear energy as a crucial part of this tech evolution.

Patrick and Duncan dive into the crucial role of AI infrastructure over mere models in the U.S.-China AI race. They discuss China's innovative tactics to close its chip gap while emphasizing the importance of power and data center development for AI dominance. Edge computing gains traction as AI in devices like drones and autonomous vehicles increases. Investment strategies emerge around data centers and emerging edge chips, accentuating the wide-ranging implications of energy needs and technological advancements for future growth.

Kim Isenberg, editor-in-chief and co-founder of Superintelligence, dives into the convergence of AI, energy, and geopolitics. She highlights that AI is reshaping global power dynamics and discusses how robotics could threaten traditional jobs. Isenberg points to Europe's energy bottleneck and analyzes the tech rivalry between the US and China. She predicts a public debate on Universal Basic Income due to labor displacement, while also offering an optimistic view on AI and fusion energy potentially creating abundance.

The conversation heats up as Duncan and Patrick probe whether OpenAI is falling behind Google, igniting a 'Code Red' within the company. They explore the implications of Gemini's release and how model wars could spark a compute supercycle. The hosts also dive into the world of AI-generated content, discussing the booming demand for video models and their impact on advertising. They scrutinize the differing monetization strategies of OpenAI and Anthropic, while contemplating the future of robotics and the societal effects of AI content saturation.

Dive into the world of AI investing as Amit reveals five overlooked stocks with incredible upside. He discusses whether AI is a bubble or a real opportunity, emphasizing its role in improving corporate earnings. The conversation shifts to potential IPOs from Anthropic and OpenAI, and Amazon's transformative AI strategies. Amit defends Meta's ad growth while questioning its heavy spending on the metaverse. He also highlights Palantir's unique growth and NVIDIA's strong market position, while urging exploration of smaller AI opportunities.