This piece was written after the market closed on Wednesday, just before Nvidia’s earnings call, where the company was expected to announce its third-quarter results. There’s a chance they could exceed expectations, or it might be just as anticipated, maybe with a slight deviation either way.
The following thoughts are somewhat independent of Nvidia’s results, which could either fuel further excitement around the “AI trade” or lead to a decline affecting various sectors. What’s certain is that the “AI bubble” is real, though its timing and outcomes remain unclear. Its significant presence in investment circles and potential political effects when it inevitably changes should not be ignored.
I’ve been friends with David Bahnsen for over two decades. We both started our investing careers in California but now find ourselves on the East Coast.
Donald Trump has proposed federal standards for AI, arguing that state regulations create a “patchwork” which could hinder economic progress.
David runs The Bahnsen Group, and he shares insights through his podcast “The Dividend Cafe.” We’re not business associates; we simply share a long friendship from our earlier days in Southern California.
A recent Wall Street Journal article discussed a lackluster week for stocks, noting a small uptick on Friday. David was prominently quoted, voicing concerns that the “AI bubble” could potentially deter investors from returning during downturns, leading to greater consequences. This caught my attention, prompting me to dig deeper into his insights. Picture a trusted astronomer observing a meteor shower and pausing to contemplate—yeah, that was me.
After I shared David’s insight on X with my endorsement, he reached out to express gratitude, directing me to his podcast episode that delves into his apprehensions regarding the AI bubble.
I’m no financial guru—never even stayed at a Holiday Inn—but I get the logic. As David explains it, I can appreciate the “math.” Currently, my investments are mostly in cash, lacking individual stocks, largely because I tend to be risk-averse at my stage in life. What resonated with me in David’s podcast was his genuine aim to alert investors about potential risks that could harm their finances. He cautioned against investing driven by “euphoria,” referencing the history of past financial “bubbles” to support his points.
David isn’t a “short seller”; rather, he approaches financial markets with care and rationality, all while being an astute political commentator. He’s made several appearances on my show and is respected within center-right circles for his serious, fact-based analysis, so I trust his perspective.
His worries about a potential “AI bubble” bursting and its implications led me to think about a related political issue.
The Trump administration, along with the Republican majority, hasn’t taken much responsibility for the massive investments going into AI-related data centers and infrastructures. The Chip Act of 2022, which aimed to boost U.S. semiconductor manufacturing, provided $250 billion in taxpayer funds—yet, that pales compared to the projected $400 billion in private investments for these infrastructures slated for 2025. So, if there is a bubble, the capital flow will come from various sources.
If this bubble were to burst—think back to the housing bubble of 2007-2008 or the dot-com collapse—blame would likely fall on the ruling party, the Republicans. Political repercussions typically aren’t about rational analysis; they stem from voters seeking someone to blame for economic woes. George W. Bush didn’t cause the housing bubble, yet when it burst, he and the Republicans faced the brunt of the backlash.
The political influence amid economic upswings and downturns is a fixed constant. Thus, if the AI sector collapses before the upcoming elections, Republican incumbents might face serious consequences, especially if this affects broader asset values as AI companies reassess their worth.
There’s a looming political concern regarding the effects of an AI downturn on Trump and his supporters, with fears that rivals will take advantage of market corrections that could hurt existing investors. Whether major financial players can indeed influence the market negatively is up for debate. However, if they can, opponents of Trump will surely try to leverage that situation.
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The adage “forewarning is advance warning” is certainly wise, yet it doesn’t equate to immunity. It might be prudent for Trump and Republican leaders to express concerns about the rapid growth of AI while reinforcing the imperative for the U.S. to prevail in the AI and quantum computing races against China. Winning these contests is crucial to safeguard against external threats.
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Nevertheless, they must also remind constituents about the risks of putting substantial wealth into companies involved in the AI race. While politicians usually steer clear of giving investment advice, it’s wise for those in power to remind the public that past performances aren’t foolproof indicators of future success.
Caution may lead to some political discomfort, but I’d argue that it’s better to face a little discomfort than none at all.
