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. (0:00)

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. (23:25)

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. (43:50)

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. (0:00)

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. (18:53)

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. (39:01)

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. (0:00)

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. (21:26)

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. (36:07)