Market Talk: AI buildout spending is 'eyewatering' | REUTERS

Key Concepts

• AI Spending: Significant investment by major tech companies in artificial intelligence development and infrastructure.
• Hyperscalers: Large cloud computing providers (e.g., Amazon, Microsoft, Google) that are major players in AI investment.
• Capex (Capital Expenditure): Spending on physical assets, such as data centers and hardware, for AI development.
• Market Value: The total worth of a company's outstanding shares.
• Concentration Risk: The risk associated with a large portion of market capitalization being held by a few companies.
• Circularity of AI Deals: Interdependencies and self-reinforcing loops within the AI ecosystem.
• Speculation: Investing in assets with the hope of profiting from price fluctuations, often without a strong underlying fundamental basis.
• Fundamentals: The underlying economic factors that influence an asset's value, such as earnings and revenue.
• Federal Reserve (Fed): The central banking system of the United States, responsible for monetary policy.
• Interest Rate Cuts: Reductions in the benchmark interest rate by the Fed, intended to stimulate economic activity.
• FOMC (Federal Open Market Committee): The committee within the Fed that sets monetary policy.
• Hawkish vs. Dovish: Hawkish refers to a monetary policy stance that favors higher interest rates to combat inflation, while dovish favors lower interest rates to stimulate growth.
• Tariff-led Price Pressures: Inflationary effects caused by import tariffs.

AI Spending and Investor Sentiment

This week saw significant quarterly results from big tech companies, with a focus on the payoff of their substantial investments in Artificial Intelligence (AI). The hyperscalers' results presented a mixed picture. Amazon experienced a surge in its share price, gaining approximately $330 billion in after-hours trading, driven by a forecast of double-digit iPhone sales growth and a 20% rise in cloud revenue. However, Meta saw a substantial loss of $200 billion in market value on Thursday, as investor confidence was shaken by Mark Zuckerberg's ambitious AI spending plans.

Collectively, Meta, Google, and Microsoft have invested nearly $80 billion in AI development and infrastructure in the last quarter. This raises the question of whether these companies are testing investor patience.

Market's Stance on AI Spending

Laura Cooper, Global Investment Strategist at New, highlights that the dominant theme this earnings season is the enormous AI spending promises. The hyperscalers alone are estimated to spend $350 billion this year on AI investments, representing a 42% increase from the previous year, with expectations of continued growth next year. This suggests that, at present, markets appear to be supportive of these investments.

The crucial question, however, is how long investors will be willing to pay a premium for these stocks before seeing substantial returns on the "eye-watering" figures associated with AI buildout.

Reasons for Investor Confidence and Potential Turning Points

Cooper suggests that investor confidence in AI stems from the underlying belief that AI represents the future and will yield significant returns on investment, leading investors to "go all-in" on this theme. She identifies two key factors to watch for potential shifts in this sentiment:

1. Leverage for AI Spend: A lack of leverage has funded current AI spending, primarily driven by strong cash flow from companies with healthy balance sheets. An increase in debt to fund these initiatives could become problematic.
2. Signaling Pullbacks: Any indication from these firms that they plan to scale back AI spending could signal a turning point for the markets.

Cooper anticipates that these dynamics might become more relevant around 2026, rather than by the end of the current year.

AI Bubble Debate and Concentration Risk

The term "bubble" has been frequently mentioned in discussions about the tight concentration and circularity of many AI deals, raising concerns about market nervousness. Cooper acknowledges this as an active debate. While one could argue for the existence of an AI bubble, she notes that it doesn't appear to be predominantly driven by speculation, which is a key characteristic of a bubble. Instead, the rapid gains are supported by underlying fundamentals, evidenced by the earnings being reported.

Regarding concentration risk, Cooper emphasizes that it is a significant factor to monitor. Approximately one-third of the S&P 500 market capitalization is concentrated in just five companies. There is an increasing desire among investors to diversify away from this US tech concentration. However, exposure to these companies remains essential as they have been the primary drivers of gains in the US market this year.

Federal Reserve and Economic Outlook

Jerome Powell, in his recent statements, expressed caution about the general US economic outlook, despite suggesting that the current situation is not overly speculative. This cautious tone was disappointing for markets anticipating a December interest rate cut.

Fed's Stance on Interest Rates

Cooper believes that the risk of the Fed pausing interest rate cuts for the year is real and aligns with her firm's forecast. Powell cited the scarcity of data, exacerbated by the US government shutdown, as a reason for adopting a more cautious stance. The Fed likely wants greater clarity on the economic backdrop. He also alluded to an improvement in conditions compared to their last meeting, which supports a policy pause.

Cooper expresses surprise at the market's reaction to Powell pushing back on a December cut, suggesting that the market might be anticipating a more gradual easing cycle than currently priced in.

Inflation and Policy Makers' Stance

Given the government shutdown, there is uncertainty regarding US inflation data. Cooper expects this data to appear "stubborn." The question arises whether policymakers are prepared to accept inflation settling "quite a bit above" the 2% target.

Cooper believes the Fed is attuned to the risk of inflation accelerating due to tariff-led price pressures. Powell struck a balanced tone at the recent meeting. While he previously indicated that the balance of risks had shifted towards the labor market, inflation dynamics remain at play. This is likely a reason why the Fed is not yielding to market pricing for easing.

A key risk identified for next year is the change in the composition of the FOMC, which markets are pricing in as potentially leading to a more "dovish" regime starting in June. This shift in the FOMC's composition is considered a crucial factor to watch for in the coming year.