Stansberry Investor Hour

In this week's Stansberry Investor Hour, Dan and Corey welcome John Sviokla back to the show. John is an author, executive fellow at Harvard Business School, and co-founder of GAI Insights – an industry analyst firm that provides leaders with the strategies for successful AI integration. John kicks things off by recapping his analysis on AI in the markets since he last spoke with Dan and Corey and sharing the changes that have occurred. He then discusses his focus on DEF 14As to gain insight into what's incentivizing management. He mentions that more CEOs have adopted AI usage – however, there are two main groups: the leaders who are advancing rapidly and the laggards who are making slow progress. And he shares the many variables that impact folks' finances today. Next, John expresses his desire for the funding of a public library for AI so users have a database to train their models. He also states that the U.S. has lost ground and intellectual property to China in the AI field and other areas due to companies wanting market access. And he says that using AI is something that needs to be experienced to see how useful it can be, especially with automation. Finally, John provides advice for parents who want to know what career opportunities are available for their kids. There are four areas that he thinks are most crucial in today's tech-driven world. John discusses robots in the tech industry and gives his praise for Waymo. He then reflects on the sectors that he's most interested in. And he believes that folks are wrong about AI being in a bubble – rather, he thinks that there's overinvestment in that area. 0:00 Reviewing the changes in the AI field; CEOs and AI; Financial risks 25:07 Public library for AI; China's advancements; The AI experience 44:06 Four areas for career opportunities; Robots in the tech industry; AI is not a bubble 01:11:19 Dan and Corey's final thoughts

In this week's Stansberry Investor Hour, Dan and Corey welcome David Trainer back to the show. David is the CEO and founder of New Constructs, a research-technology firm that uses human expertise and machine learning to analyze companies and get superior financial data. David kicks things off by providing the key to what he believes makes AI as good as it can be. Then he discusses how he and his team use machines to scale analytics. He follows that up with how his data led to a partnership with Google. And he notes how the data his team uses has been shown to be better in studies. Next, David points out that machines can't read through company filings until humans show them how to do it. He then shares the process he has gone through with AI and how it's at the stage where it can teach itself and learn from its mistakes. David notes how now is the time for the private sectors to fix the problems that the government has failed to do so. Finally, David bemoans how Wall Street has shifted from being a "steward of capital markets" to becoming an "exploiter of capital markets." He also gives an example of how his clients can use his system to navigate market complexity. Ultimately, David wants folks to do their own research so they can be on guard against useless and deceptive information. 0:00 AI is only as good as its inputs; How David's data is better 23:25 Humans are needed to teach machines; Private sectors need to step up 43:50 Wall Street has changed; How to use David's system 01:05:09 Dan and Corey's thoughts

In this week's Stansberry Investor Hour, Dan and Corey welcome Luke Lango to the show. Luke is the senior investment analyst at our corporate affiliate InvestorPlace. He has built a reputation for spotting tech stocks on the verge of major market breakouts. Luke kicks things off by sharing his thoughts on what many consider to be the current "AI bubble." He follows that up with how the jobs market is going to transition as AI continues to develop and how the economy will fare during that period. And he provides data for how the AI data-center epicenter has impacted the housing market. Next, Luke discusses the shift from companies using graphics processing units ("GPUs") to tensor processing units ("TPUs") for their data centers and why this is taking place. He then gives his thoughts on whether Intel can become a viable competitor again in this market. And he highlights the risks around the AI companies being interconnected and feeding into each other. Finally, Luke expresses why he's pleased that Alphabet has begun to act as a competitor to Nvidia with its own TPUs. He also covers AI being used in ads and how companies like Meta Platforms have seen success with utilizing it in that area. The three all share how they're all using AI in their personal use cases. And Luke gives his thoughts on what the big investment themes are going to be for 2026. 0:00 Discussing the "AI bubble"; How AI will impact the jobs market and economy 18:53 Companies shifting to custom silicon; The AI companies are interconnected 39:01 Alphabet is isolated; AI in online ads; Personal AI utilization 55:13 Dan and Corey's thoughts

In this week's Stansberry Investor Hour, Dan and Corey welcome Gary Mishuris back to the show. Gary is the managing partner and chief investment officer of investment firm Silver Ring Value Partners. He has kindly allowed listeners to download the PDF of how he uses AI to aid in his strategies. You can access it here. Gary kicks things off by sharing how he uses AI in his investment process. He cautions against the extremes of thinking of AI as being a "genie in a bottle" that solves every problem or that it's completely ineffective and should be disregarded completely. The truth, he says, is in the middle. There are two use cases he argues for using it, with the second one being a "holy grail" method. And while AI can be accessible for most folks, Gary warns that it will not level the playing field. Next, Gary reveals the one AI tool that he thinks is critical in utilizing AI in investing. It's not a popular model that makes the headlines, but Gary shows how effective it can be – and it's FREE. He then acknowledges how AI prevents him from falling into any biases and emphasizes that even though AI provides resources for him, he still does the research needed for investing and makes the final decisions for investing. Finally, Gary explains how AI is a viable tool that is being used in real investment scenarios. He also bemoans YouTube influencers who use AI as a hype gimmick to market their online courses. Then he expresses his opinions on the wider market piling into AI data centers, stating that expectations are too high for what the technology can provide today. 0:00 The extremes of AI sentiment; Two AI use cases 21:26 A critical AI tool; How to use AI effectively; Human decisions 36:07 AI in real investment scenarios; Influencers using AI for hype; Managing expectations 53:52 The Stocks That Save America 55:13 Dan and Corey's thoughts

On this week's Stansberry Investor Hour, Dan welcomes Rob Spivey back to the show. Rob is the director of research at our corporate affiliate Altimetry. He and his team utilize their proprietary Uniform Accounting strategy to dig through the as-reported numbers in company reports to find their true value. Rob kicks things off by posing a topic of debate with Dan regarding the Federal Reserve cutting interest rates. The two follow up by sharing their thoughts on the long-running AI narrative. Rob expresses how the talk of an AI bubble is producing a "fear of getting in," which keeps people from buying stocks. And he shares his team's thoughts on several market areas where government regulation could provide opportunities. Next, Rob reflects on how 22 companies recommended by Altimetry publications were acquired over the past six years. He then lists the catalysts that are key targets for company acquisitions. In the midst of opinions and market fear, Rob stresses the importance of trusting the data. And he says that even though the market is currently weak, it was due for a cooldown based on history. Finally, Rob shares three steps to picking a great stock according to some of the greatest investors. He says that these three things can help provide consistent wins in the market. This leads to Dan and Rob discussing the benefit of finding a stock with consistent dividends that an investor would hold on to, whether the price goes up or down. And Rob reiterates the importance of not staying out of the market. 0:00 Discussing the AI narrative; Market opportunities from government regulation 21:45 22 acquisitions across Altimetry publications; The catalysts for acquisitions; Trust the data 35:36 Three steps to picking a great stock; Finding stocks that pay consistent dividends; Don't stay out of the market 54:11 Dan's final thoughts

On this week's Stansberry Investor Hour, Dan and Corey welcome Ben Hunt back to the show. Ben founded Epsilon Theory, a newsletter with more than 100,000 readers that examines markets through the lens of narrative. He's also the president and co-founder of Perscient, an AI research firm and software company. Ben kicks things off by discussing the "credit polar vortex" that the U.S. is facing today. He says that all credit to the bottom 40% of the country has essentially been cut off, leaving companies in distress and everyday Americans in crisis. And he notes that financial crises are always born in the financial sector, so this is a problem no matter how well AI and tech stocks are doing. Ben goes in depth on how this looming crisis affects regional banks, and he compares what's happening now with what happened in 2007. Next, Ben talks about the Federal Reserve's role in all this and how it acts as a backstop for commercial banks. He points out that the alternative asset managers that don't have this backstop have been the ones making all the loans in the economy, so that's where the danger lies. This leads to a conversation about gold's usefulness as a safe haven, the potential for rampant inflation, and a few things that give Ben hope for the economic future, including manufacturing and reshoring. And he also covers the topic of energy generation in relation to AI and its possible damage to the economy. Finally, Ben shares how his investing outlook has changed over the years, thanks to fundamentals taking a backseat in importance to storytelling and narratives. He emphasizes that fundamentals still matter, but what's happening with the story is a bigger factor in making money in the market. As he says, it's value versus valuation. Ben then explains how he finds these stories regardless of the sector and how to track them. 0:00 A looming financial crisis; doomed regional banks; similarities with 2007 17:47 The Fed as a backstop; gold; manufacturing; AI vs. power generation 46:38 Ben's investing outlook; how to profit from stories in the market 1:08:15 Dan and Corey's final thoughts