BOOM OR BUST?: Expert reveals why AI trading is ‘starting to really take effect’

Key Concepts

• Earnings Season: The period when public companies release their financial results.
• Cyclical Equities: Stocks of companies whose performance is closely tied to the economic cycle.
• CPI (Consumer Price Index): A measure of the average change over time in the prices paid by urban consumers for a basket of consumer goods and services.
• Federal Reserve (The Fed): The central banking system of the United States.
• Quantitative Tightening/Easing: Policies used by the Federal Reserve to control the money supply and credit conditions.
• Private Credit: Lending to companies by non-bank financial institutions.
• AI (Artificial Intelligence): The simulation of human intelligence processes by computer systems.
• GDP (Gross Domestic Product): The total monetary or market value of all final goods and services produced within a country’s borders in a specific time period.
• Mag Seven: Refers to the seven largest publicly traded companies in the US stock market (Apple, Microsoft, Alphabet, Amazon, Nvidia, Tesla, and Meta).

Market Assessment & Economic Outlook

The discussion centers around the initial stages of earnings season and the overall health of the U.S. economy. JP Morgan’s recent report exceeded expectations in Q4, particularly in trading revenue, despite a decline in investment banking fees due to lower debt underwriting. Jamie Dimon maintains a positive outlook, emphasizing the resilience of the U.S. economy and steady business conditions. The stock is up 1 2/3 percent following the report.

Stuart Kaiser highlights the importance of consumer spending and credit as the primary focus for investors. He notes the potential for larger tax refunds due to the “Big Beautiful Bill,” potentially adding $1,000 to individual refunds compared to last year, directly boosting consumer spending. He characterizes the year’s start as positive, anticipating a favorable market reaction to February’s tax refund data.

Data Dependence & Federal Reserve Policy

The conversation emphasizes the Federal Reserve’s data-dependent approach to monetary policy. Luke Lloyd argues that rate cuts by the Fed would be a negative signal, indicating pressure on economic growth. He points to a positive unemployment report and a solid start to earnings as supportive factors, alongside anticipated stimulus. This environment encourages investment in cyclical equities and U.S. equities generally.

The upcoming release of the Consumer Price Index (CPI) is a key event. The CPI is expected to show a 0.3% increase and a 2.7% year-over-year increase. Concerns are raised about potential “noise” in the CPI data due to the recent government shutdown. The Producer Price Index and Retail Sales numbers are also due to be released, providing further insights into inflation and consumer spending.

Liquidity, AI, and Sector Trends

Luke Lloyd stresses the importance of strong liquidity in the market, citing $8 trillion held in money market accounts. He observes continued loan growth from banks, despite a slight dip in investment banking revenue. He identifies a growing trend of private credit firms competing with traditional banks, citing OWL as an example of a company focused on this market.

A significant portion of the discussion revolves around the impact of Artificial Intelligence (AI). Lloyd argues that the second and third derivative effects of AI are driving economic strength and GDP growth, fueled by both government and corporate investment. He notes that “data is the new currency,” exemplified by Google’s market capitalization exceeding $4 trillion. This trend supports investment in higher beta (higher risk) stocks, which have outperformed the broader market (RSP Coin Index up 3% vs. market up 1.5%).

Risks & Concerns: Data Centers & Credit

Concerns are raised about potential risks associated with lending to data centers. Lloyd differentiates between the “Mag Seven” stocks (Apple, Microsoft, Alphabet, Amazon, Nvidia, Tesla, and Meta), which have strong balance sheets, and second-tier companies with lower credit ratings and higher spending. He notes that Oracle, with a triple B credit rating, has experienced a significant rise in credit spreads. Meta, in contrast, can issue debt without impacting its credit spreads, illustrating the bifurcation between companies with strong and weak financial positions.

Lloyd advises maintaining exposure to the AI trade but emphasizes the need for careful selection, focusing on companies demonstrating a strong return on capital expenditure (CAPEX) related to AI investments.

Consumer Spending & Income Inequality

A key statistic presented is that consumer spending currently accounts for 53.8% of U.S. GDP, the lowest level since 1947. Corporate profit margins are at 10.9%, the second highest in history. This data suggests that AI is increasing productivity and margins, potentially at the expense of the consumer. The discussion concludes with the observation that wealth is increasingly concentrated, and participation in the market through stock ownership is crucial.

Logical Connections

The conversation flows logically from an assessment of recent earnings reports (JP Morgan) to a broader discussion of the economic outlook, the Federal Reserve’s policy stance, and key market trends (AI, private credit). The discussion of data center lending and credit risk serves as a cautionary note within the generally optimistic outlook. The final point about consumer spending and income inequality provides a broader societal context for the economic trends being observed.

Conclusion

The overall sentiment is cautiously optimistic. While acknowledging potential risks, particularly related to credit and the AI investment cycle, the panelists believe the U.S. economy is currently resilient, supported by strong liquidity, positive employment data, and the transformative potential of AI. Investors are encouraged to focus on cyclical equities, U.S. equities, and carefully selected AI-related investments, while remaining mindful of credit risks and broader economic trends.