Tech’s ‘Magnificent’ Run Is Creating a Dangerous Illusion About the Economy

On a recent Monday morning, the trading floor appeared almost joyful. Analysts leaned back in their chairs, screens glowed green, and a TV host somewhere in the corner talked about “another historic run for tech stocks.” You might assume that the economy had entered a new golden age if you only looked at those figures. However, the atmosphere changes when you step outside of that bubble.

The Midwest’s factories continue to operate on thin margins. Venture capital has cooled. Credit costs that don’t go down are a source of complaint for small businesses. The disconnect is difficult to ignore. While the stock market is booming, the overall economy seems oddly cautious.

A large portion of that hope is based on a small number of businesses. Investors have begun referring to these tech behemoths as the “Magnificent Seven” because their market values have increased to the point where they now control the entire index. Due in large part to artificial intelligence, their expansion has made the stock market more like a tech showcase than a representation of the overall state of the economy. The numbers themselves provide an intriguing narrative.

According to speculative estimates circulating in investment circles, Nvidia momentarily surpassed a $5 trillion valuation. In the upcoming years, Amazon anticipates spending close to $200 billion on capital projects. Data centers, windowless buildings buzzing with cooling systems and GPU racks, are popping up across farmland and deserts. The scope is astounding. There is an unmistakable sense of ambition when you walk close to one of these facilities at dusk, with trucks arriving and generators humming. However, there are unsettling questions about the math underlying that ambition.

Many of these businesses were generating massive amounts of free cash flow just a few years ago. A large portion of that money is currently going toward infrastructure expenditures. After capital expenditures, Amazon’s free cash drastically decreased. To finance its AI rollout, Meta has ventured into the bond market. Tech companies that used to boast flawless balance sheets are now discreetly borrowing once more.

This might just be the price of developing the next big technological platform. Investors appear to think that the next computing era will be controlled by the winner of the AI race. Slowing down is unimaginable in that setting. It would be worse to fall behind than to overspend. Nonetheless, it seems that the reasoning behind investments has changed.

An investment eventually ceases to be optional. It starts to feel more like a duty. Data centers need to be constructed. GPUs need to be ordered. It is necessary to hire engineers. While competitors sought dominance, no CEO wants to explain to shareholders why their company opted for caution.

In markets, the fear of missing out has a strong hold. When executives discuss AI these days, the tone occasionally sounds more like an arms race than prudent capital allocation. The ecosystem also has other peculiarities.

The same group of businesses that fund the technology itself seem to be responsible for a large portion of the “demand” for sophisticated AI chips. Investments in AI labs result in billions of dollars being spent on computing infrastructure, which increases revenue for the chipmakers who initially funded the labs. The system appears to be effective from a distance. It feels round up close.

It’s still unclear if the last layer—the real AI applications that consumers and businesses use—will bring in enough money to cover the expenditures below. Numerous AI pilots never progress past experimentation, according to reports from consulting firms. When costs increase more quickly than benefits, some businesses give up on projects in the middle.

An AI scheduling system was recently tested internally, according to a friend who works in logistics. Although it struggled with messy real-world data, it produced impressive presentations. The project silently died after months of work. The trillion-dollar enthusiasm in equity markets is not quite comparable to that story, which is whispered across industries. Wall Street, however, continues to purchase.

Structural factors might be a contributing factor. The level of concentration in the US stock market has increased. The stock movements of a small number of companies start to influence the index as a whole when they become very large. Even though the majority of businesses are stagnating, the market looks robust if those companies rise. A weird optical illusion is produced as a result.

An expanding market indicates a thriving economy, which raises confidence and motivates additional investment in the very businesses fueling the rally. A feedback loop is in place. It can be both potent and deceptive, just like the majority of feedback loops.

The geopolitical dimension is another. Artificial intelligence is increasingly seen by governments as strategic infrastructure, comparable to nuclear technology or the internet. Spending tends to increase when national competition is involved. Technological leadership eventually takes precedence over profitability. That dynamic could help explain why, in spite of uncertain returns, the AI build-out continues.

It’s difficult not to feel both admiration and unease when observing the momentum from the outside. The level of innovation is remarkable. These investments may eventually give rise to entire industries. However, markets are often reminded by history that technological revolutions are rarely linear.

In the process of building a continent, the nineteenth-century railroad boom bankrupted a great number of investors. Only after a dramatic crash did the internet boom of the 1990s transform commerce.

Maybe the AI boom will go more smoothly. It’s possible that these enormous investments will yield the desired results. Perhaps the optimism is warranted.

However, at the moment, the gap between market enthusiasm and economic reality seems abnormally large.

Furthermore, the question remains silent but persistent when an economy starts to appear healthier on stock charts than it does on manufacturing floors or small-business balance sheets: Is it a very convincing illusion of prosperity?