Concerns about stock valuations in companies tied to artificial intelligence knocked the market around this week. Whether these worries will recede, as they did Friday, or flare up again will certainly be something to watch in the days and weeks ahead. We understand the concerns about valuations in the speculative aspects of the AI trade, such as nuclear stocks and neoclouds. Jim Cramer has repeatedly warned about them. But, in the past week, the broader AI cohort — including real companies that make money and are driving what many are calling the fourth industrial revolution — has been getting hit. We own many of them: Nvidia and Broadcom on the chip side, and GE Vernova and Eaton on the derivative trade of powering these energy-gobbling AI data centers. That's not what should be happening based on their fundamentals. Outside of valuations, worries also center on capital expenditures and the depreciation that results from massive investments in AI infrastructure. On this point, investors face a choice. You can go with the bears who are glued to their spreadsheets and extrapolating the usable life of tech assets based on history, a seemingly understandable approach, and applying those depreciation rates to their financial models, arguing the chips should be near worthless after three years. Or, you can go with the commentary from management teams running the largest companies driving the AI trade, and what Jim has gleaned from talking with the smartest CEOs in the world. When it comes to the real players driving this AI investment cycle, like the ones we're invested in, we don't think valuations are all that high or unreasonable when you consider their growth rates and importance to the U.S., and by extension, the global economy. We're talking about Nvidia CEO Jensen Huang, who would tell you that advancements in his company's CUDA software have extended the life of GPU chip platforms to roughly five to six years. Don't forget, CoreWeave recently re-contracted for H100s from Nvidia, which were released in late 2022. The bears with their spreadsheets would tell you those chips are worthless. However, we know that H100s have held most of their value. Or listen to Lisa Su, CEO of Advanced Micro Devices , who said last week that her customers are at the point now where &#34;they can see the return on the other side&#34; of these massive investments. For our part, we understand the spending concerns and the depreciation issues that will arise if these companies are indeed overstating the useful lives of these assets. However, those who have bet against the likes of Jensen Huang and Lisa Su, or Meta Platforms CEO Mark Zuckerberg, Microsoft CEO Satya Nadella, and others who have driven innovation in the tech world for over a decade, have been burned time and again. While the bears' concerns aren't invalid, long-term investors are better off taking their cues from technology experts. AI is real, and it will increasingly lead to productivity gains as adoption ramps up and the technology becomes ingrained in our everyday lives, just as the internet has. We have faith in the management teams of the AI stocks in which we are invested, and while faith is not an investment strategy, that faith is based on a historical track record of strong execution, the knowledge that offerings from these companies are best in class, and scrutiny of their underlying business fundamentals and financial profiles. Siding with these technology expert management teams, over the loud financial expert bears, has kept us on the right side of the trade for years, and we don't see that changing in the future. (See here for a full list of the stocks in Jim Cramer's Charitable Trust, including NVDA, AVGO, GEV, ETN, META, MSFT.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.

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The article discusses concerns about AI stock valuations, highlighting speculative stocks to avoid and solid investments like Nvidia and Broadcom. It emphasizes the importance of management insights from leaders like Jensen Huang and Lisa Su over bearish financial models. The piece suggests long-term investors should trust technology experts for AI investments, as these companies are crucial to the global economy and have a strong track record of innovation and execution.

- Concerns over stock valuations in AI-related companies have caused market fluctuations, with investors debating the sustainability of these valuations.  
- Despite worries about capital expenditures and depreciation, the article argues that companies like Nvidia and AMD are fundamentally sound and essential to the economy, with management teams providing insights that counter bearish predictions.  
- The author emphasizes confidence in the long-term potential of AI technologies, suggesting that historical performance and expert management should guide investment decisions rather than short-term valuation fears.

Here are real AI stocks to invest in and speculative ones to avoid