US Stocks Are Indeed Deep in the 'Magnificent Seven' Anxiety, But It's Not the Bearish Warning Signal

It's time to relegate the 'Magnificent Seven' as an investment category to the history books.

According to MarketWatch columnist Robert Ross, in the early stages of this bull market, the bearish camp's simplest argument was: 'The index gains are driven entirely by these seven stocks.' At the time, the so-called Magnificent Seven were propping up the entire market, and there was widespread concern that if these leaders faltered, the bull run would end.

However, the situation has now reversed. The 'Seven' are gradually becoming the 'Seven Laggards.' Due to their massive weight in the index, these former leaders have become the biggest headwind dragging down the broader market.

This does not mean the AI boom is fictional, nor does it mean the bull market is over.

The market is currently struggling to digest the high costs required to build AI infrastructure for the future. This momentum is reshaping the lineup of winners and losers. Wall Street's focus has shifted from future returns to an excessive concern over costs.

Wall Street Is Focused on Costs, Not Returns

Mega-scale cloud providers led by Microsoft (MSFT-US), Amazon (AMZN-US), Google (GOOGL-US), Meta (META-US), and Oracle (ORCL-US) are making massive investments in chips, networking equipment, power, and data centers.

In the long term, these expenditures will ultimately prove justified and are expected to unleash massive profits and cash flows starting around 2028. But in the short term, investors are shying away from these outlays due to fear of 'dilution'—a taboo in investing.

Alphabet's (GOOGL-US) recent stock issuance is a case in point. The company issued new shares for the first time since its 2004 IPO to fund AI infrastructure development. This announcement coincided almost exactly with the peak of the company's stock price and the broader market, as investors began reassessing the true cost of the AI arms race.

This fear has caused the valuation premium of the 'Magnificent Seven' relative to the other 493 companies in the S&P 500 to shrink to its lowest level in a decade. Despite these companies still generating record profit growth, the multiples the market assigns to them have compressed to multi-year lows.

Regardless of whether there is an AI bubble, the reality is that these former market leaders are bearing the heavy burden of AI build-out spending. This does indeed create a market headwind, but it is not a fatal blow.

For investors who can withstand market volatility, this environment actually creates an excellent entry opportunity.

This Is Not the End of the Bull Market

The market is reacting faster to the short-term impact on free cash flow than to the improved future earning power. This has happened before—the most classic example being Amazon, which sacrificed cash flow for years to build AWS, now its core profit engine.

In fact, AI monetization is already beginning to show results and is accelerating: Amazon's AWS growth rate has reached its highest in four years, Microsoft's AI business has doubled in size, with annualized revenue surpassing $37 billion; Alphabet CEO Sundar Pichai has stated outright that enterprise AI is now the primary growth driver for its cloud division.

Markets often lack patience during spending cycles, overly focusing on immediate cash flow pressures while overlooking the profit explosion these investments will bring in two or three years. This has led the very stocks that led the first half of the bull market to fall into a price vacuum in the short term.

The Era of the 'Magnificent Seven' Is Over

The label 'Magnificent Seven' is now outdated. Future market leadership will become more fragmented. This does not mean the end of the tech giant era, but just as 'FAANG' became history after dominating the 2010s, it is no longer appropriate to treat these seven stocks as a single investment group.

They once moved together based on similar logic and direction, but now the situation is vastly different: Some players, like Alphabet and Amazon, possess investment value due to their clear AI monetization models.

In contrast, some mega-cap stocks, either due to lower AI linkage (such as Tesla) or growth not primarily driven by AI (such as Apple), have seen their investment appeal significantly diminish.

New Investment Opportunities Are Emerging

The best opportunities in today's market are emerging outside the 'Magnificent Seven' framework. AI hardware and infrastructure companies like Micron Technology (MU-US) and ASML remain crucial, as they are more directly at the core of the AI build-out chain.

Moreover, beyond AI, the U.S. stock market is expanding into industries previously overlooked, including leading companies in healthcare, payments, and finance, such as Eli Lilly (LLY-US), Visa (V-US), and JPMorgan Chase (JPM-US).

These stocks may contribute more to index returns than investors currently expect.

In summary, the stock market does indeed have a 'Seven Giants problem,' but it is no longer the issue the bears once warned about. Instead, the market is adjusting to the construction costs of AI.

This short-term pressure is eliminating the old guard while making space for emerging market leaders. This is a characteristic of the bull market's next phase of evolution—not its end.