AI Stocks Are Stuck – and Not Because of Earnings
For nearly four months, the global financial markets have witnessed an unprecedented divergence between the underlying financial performance of technology companies and their respective stock prices. The artificial intelligence (AI) sector, which served as the primary engine for market growth throughout 2023 and early 2024, has entered a period of sustained horizontal trading. Despite a continuous stream of positive earnings reports, increased capital expenditure forecasts, and expanding order backlogs, the equities associated with these developments have remained largely stagnant since May 2024.
This phenomenon is clearly illustrated by the performance of the Global X Artificial Intelligence & Technology ETF (AIQ). As of early September, the fund is trading at levels nearly identical to those recorded in the first week of May. This "sideways chop" persists even as the fundamental "E" (earnings) in the Price-to-Earnings (P/E) ratio continues to climb, suggesting that external macroeconomic factors are actively suppressing valuation multiples.
The Divergence Between Fundamentals and Market Price
In a standard efficient market hypothesis, stock prices eventually track the trajectory of corporate earnings. However, the current AI trade presents a significant anomaly. Since the second quarter of 2024, the largest players in the AI ecosystem—ranging from semiconductor manufacturers to cloud service providers—have reported revenues that exceeded analyst expectations. Furthermore, corporate spending plans for AI infrastructure have been revised upward, with "Big Tech" firms signaling a commitment to spend hundreds of billions of dollars on data centers and hardware over the coming years.
The widening gap between these robust economic realities and stagnant market performance indicates a contraction in valuation multiples. While companies are earning more, investors are proving unwilling to pay a premium for those earnings. Analysts suggest this is not an "earnings problem" but a "liquidity problem." When the fundamental strength of a company moves in one direction while its stock price moves in another, it typically indicates that the broader monetary environment is acting as a gravitational pull on asset prices.
The Role of Excess Liquidity in Market Valuations
The primary culprit identified for this market standoff is the collapse of "excess liquidity." In financial terms, excess liquidity represents the growth in the money supply that remains after accounting for inflation and real economic growth. It is the "surplus" capital that typically flows into financial assets, driving up prices and expanding valuation multiples.
According to recent data from Bloomberg and G10 economic monitors, excess liquidity is currently undergoing its most significant contraction since the COVID-19 pandemic. In June 2024, this metric flipped into negative territory. Historically, when excess liquidity is positive, it provides a "tide" that lifts all boats, allowing stock prices to rise even if earnings remain flat. Conversely, when liquidity disappears, earnings must perform the heavy lifting alone. Currently, AI earnings are growing at a rapid pace, but they are merely offsetting the downward pressure caused by the drainage of surplus capital from the global system.
The Bond Market and the Competition for Capital
The standoff in the equity markets is inextricably linked to the volatility in the bond market. Long-term Treasury yields have reached levels not seen in nearly two decades. The 30-year bond yield recently touched 5.3%, a peak that mirrors the pre-2008 financial crisis era. However, the context of these high yields is markedly different today due to the fiscal position of the United States government.
In the early 2000s, U.S. debt loads were significantly lower. Today, gross federal debt stands at approximately 123% of the nation’s Gross Domestic Product (GDP). This elevated debt level means the federal interest burden is more than twice as high as it was during previous periods of high interest rates. The Congressional Budget Office (CBO) projects that the federal government will continue to spend roughly $1.35 for every $1 of tax receipts for the foreseeable future, creating a persistent need for massive debt issuance.
This fiscal reality creates a "crowding out" effect in the capital markets. Total U.S. corporate bond issuance reached $1.68 trillion through July 2024, a 27% increase over the previous year. As AI companies and other corporations borrow capital to fund expansion, they are competing directly with the U.S. Treasury for a shrinking pool of available investment dollars. Investors are now demanding higher compensation to lend to the U.S. government, which keeps Treasury yields elevated and puts a ceiling on how much investors are willing to pay for risky assets like AI stocks.

Deciphering the Yield Curve: A "Good" vs. "Bad" Decline
Investors often view falling bond yields as a positive catalyst for stocks, but market analysts warn that the reason for a decline in yields is more important than the move itself. There are two primary paths for a reduction in the 10-year Treasury yield:
- The Optimistic Path: Yields fall due to a genuine easing of inflationary pressures and a successful "soft landing" for the economy. In this scenario, oil prices stabilize below $80 per barrel, and the Federal Reserve adopts a "balanced risks" tone. This would likely signal the end of the liquidity squeeze and allow AI stocks to break out of their current range.
- The Pessimistic Path: Yields fall because of a "flight to safety" triggered by an economic recession or a collapse in corporate confidence. If the AI trade unwinds due to a perceived lack of Return on Investment (ROI), capital would flee equities and move into Treasuries. While this would lower yields, it would simultaneously trigger a collapse in stock valuations and a widening of corporate credit spreads.
Strategic Shift: Prioritizing Demand Over Multiples
Given the uncertainty surrounding global liquidity and interest rate trajectories, a consensus is emerging among institutional analysts: investors should stop betting on "multiple expansion" and start focusing on "contracted demand."
The current market environment favors companies that generate real profits today rather than the promise of profits in the distant future. The ideal investment in this standoff is a business that meets three specific criteria:
- Current Profitability: Positive cash flow that does not rely on constant refinancing.
- Low Leverage: A balance sheet that is not vulnerable to "higher-for-longer" interest rates.
- Inelastic Demand: Products or services that customers cannot easily cut from their budgets, regardless of the macroeconomic climate.
This strategy shifts the focus from high-flying, sentiment-driven stocks to the "infrastructure layer" of the economy. In the context of AI, this means looking past the high-profile software applications and focusing on the physical suppliers, component makers, and power providers that are essential to the build-out of the digital economy.
The Copper Squeeze: A Case Study in Physical Demand
A prime example of a "demand-based" play is the global copper market. The AI revolution is not merely a software event; it is a massive physical infrastructure project. Data centers, electrical grids, and advanced cooling systems require immense amounts of copper. Unlike software multiples, the demand for copper is driven by physical necessity.
The copper market is currently facing a structural deficit. It takes between seven to ten years to bring a new copper mine online, meaning supply cannot quickly respond to the surge in demand. Simultaneously, geopolitical factors are adding pressure. The U.S. government is currently considering new taxes on imported refined copper, leading domestic buyers to stockpile a record 650,000 tons in warehouses to hedge against future price increases.
Copper prices have risen approximately 36% over the past year, and some financial institutions, including Goldman Sachs, project that prices could reach $14,000 per tonne if supply constraints persist. For investors, commodities like copper represent a way to capture the growth of the AI trade without being entirely dependent on the "mood" of Wall Street or the fluctuations of the P/E multiple.
Conclusion and Market Outlook
The current standoff in the market represents a period of consolidation where fundamental growth is being masked by a contraction in liquidity. For the individual investor, this period requires patience and a shift in perspective.
If the market remains stuck, companies that continue to grow their earnings will eventually become too cheap to ignore. As earnings rise and prices stay flat, the valuation becomes increasingly attractive, eventually forcing a "catch-up" trade. If the economy enters a downturn, the focus on profitable, low-debt companies provides a defensive cushion. Finally, if liquidity returns to the system, these fundamentally strong companies are positioned to lead the next leg of the bull market.
The roadmap for the coming months involves monitoring key indicators: the 10-year Treasury yield’s movement below the 4.5% threshold, the stability of oil prices, and the Federal Reserve’s shift toward a more neutral monetary stance. Until these signals align, the most prudent course of action remains a focus on companies with undeniable demand and the fiscal strength to weather a period of restricted liquidity.