The AI Bubble Debate: Do Investors Need an Answer?
Companies are committing enormous sums to computing equipment, data centers, and other infrastructure to support artificial intelligence. Some see that spending, and the stock prices of the companies involved, as a sign that expectations have gotten ahead of reality. Others see an early investment in a technology whose potential we are only beginning to understand.
That raises an obvious question: Is the AI boom a bubble? There are reasonable arguments on both sides, and looking at them helps put the debate in perspective.
But for investors, there may be a more important question: Does the debate need to be settled for us to invest sensibly?
We don’t believe it does.
Key Takeaway
It remains unclear whether the surge in artificial intelligence investment represents a bubble. Rather than trying to predict which companies will succeed or whether AI stocks are overvalued, investors can focus on building diversified portfolios designed to participate in long-term growth without depending on any single outcome.
Is AI a Bubble? The Case for Concern and Optimism
The first concern is the size of the largest technology companies and whether their earnings can keep growing. These businesses already generate enormous profits, and growing from such a large base becomes increasingly challenging. Some of those earnings also depend on other companies continuing to spend heavily on AI. If that spending slows, the effects could reach several of the market’s largest businesses at once.
On the other hand, high expectations are not necessarily unrealistic ones. These are strong businesses with healthy cash flows and established competitive positions. If AI creates lasting demand for their products and services, their earnings could keep growing.
A related worry is the amount being spent on infrastructure. If companies build more computing capacity than customers need, or the equipment becomes obsolete faster than anticipated, some of today’s spending could prove wasteful.
But it is also possible that we are spending too little. If AI helps businesses get work done in a fraction of the time and cost, the potential market is far larger than what businesses spend on technology today.
Another concern is competition. Strong demand tends to attract new competitors, and as they fight for business, providers may not be able to charge more even as their products improve. That could make it harder for them to earn back what they have spent.
But that is not necessarily bad news. AI is already inexpensive to use, and its capabilities keep improving. As businesses get more for the same cost, they may find AI worth using for many more tasks, and that added demand could make up for thinner margins.
Then there is the question of who is really paying for all this. Some AI companies are investing in businesses that then turn around and buy their products or services. In effect, they are helping fund their own sales. That can make demand look stronger than it really is, and if one company runs into trouble, others could feel it too.
Still, these arrangements are a common form of financing, and they do not, by themselves, mean demand is artificial or money is being wasted. What matters is whether the investments eventually produce enough revenue and profit to be worthwhile.
In the end, whether today’s spending proves excessive or insufficient will depend on how quickly businesses adopt AI, what they are willing to pay for it, and how much profit providers can keep. Those answers will only become clear over time.
What Does the AI Bubble Debate Mean for Investors
Fortunately, we don’t need to wait for those answers to invest sensibly.
The arguments on both sides are no secret. Investors everywhere are weighing the same concerns and counterpoints, and stock prices already reflect their collective judgment about what might happen and how likely it is. That does not mean prices are always right. But it does mean that spotting a risk or an opportunity is not much of an advantage when everyone else can see it too.
That is why, rather than building a portfolio around one forecast, we invest across countries, industries, and company sizes, with an emphasis on value and profitability. This reduces our dependence on the handful of large companies that now make up such a substantial share of the S&P 500. If expectations for those companies prove excessive, our portfolios are less exposed. If those companies deliver, we still participate.
Broad diversification also gives us exposure to businesses throughout the economy that are finding ways to use AI to become more productive and profitable. The companies that benefit most may not be the ones attracting the most attention today.
If it turns out there has been too much investment in AI, the adjustment could be unpleasant, and diversification does not eliminate risk. But there is also good reason for optimism. Railroads, electricity, and broadband internet created opportunities far beyond the companies that built the infrastructure. AI has the potential to do something similar, and a disciplined investment approach lets us participate without making a concentrated bet on how it unfolds.
The case, then, is not for picking a side in the bubble debate. It is for owning a portfolio that does not depend on the outcome.
Core Wealth Management is a fee-only wealth management firm located in Jupiter, FL. Our CFP® professionals provide investment management, financial planning and advisory services, while always strictly abiding by the highest fiduciary standards. For more information, contact us today at 561-491-0231.
Todd Schanel, CFP®, CPA, CFA is the Principal and Director of Investment Advisory Services at Core Wealth Management.
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