Trump policy risk is a persistent theme for markets, strategist explains

Key Concepts

• Policy Risk: The uncertainty and potential negative impact stemming from government policies and regulations on investments and markets.
• Headline Risk vs. Bottom-Line Risk: The distinction between initial market reactions to news (headline risk) and the actual financial impact on companies (bottom-line risk).
• Hyperscalers: Large-scale technology companies that operate massive data centers and provide cloud computing services (e.g., Amazon, Microsoft, Google).
• Capex: Capital Expenditure – funds used by a company to acquire, upgrade, and maintain physical assets such as property, plants, buildings, and equipment.
• Disinflationary Force: Factors that slow down the rate of inflation.
• AI Adoption vs. Innovation: The shift in focus from companies creating AI technology to those implementing it for practical applications.

Market Volatility and Policy Risk

The discussion begins with acknowledging current market conditions, characterized by futures pointing to a lower open and a resurgence of “noise” originating from Washington D.C. The central theme identified is the persistence of policy risk, a concept that proved challenging for investors to navigate throughout the previous year. A key point emphasized is the crucial difference between headline risk and bottom-line risk. While policy announcements often trigger immediate market reactions, the actual impact on company profits may be significantly less severe. This distinction is particularly relevant in sectors like housing and oil.

The speaker anticipates heightened policy-related volatility, especially in the first half of the year, driven by tariff rulings, the potential outcome of a ruling concerning Lisa Cook (a Federal Reserve board member), and uncertainty surrounding the future Federal Reserve chair appointment. The potential for a shift in the Fed’s structure in the latter half of the year is also highlighted as a significant unknown. As stated, “Policy will continue to drive volatility and and look risky. But as we learned last year, there needs to be sometimes this important distinction made between what is the risk in terms of the of the headline and what's the risk in terms of the actual bottom line for profits.”

Venezuela and Oil Prices

The conversation shifts to Venezuela and its potential impact on oil prices. The prevailing view is that, despite the possibility of increased oil supply from Venezuela, a significant short-term boost is unlikely due to the existing global supply glut and modest global growth (estimated at 2-3% in the US). The speaker believes oil prices will likely continue to decline, representing a “path of least resistance.”

From a US inflation perspective, this is seen as a positive, acting as a disinflationary force on energy costs. However, for investors in the energy sector, declining oil prices could create a “bearish case,” putting downward pressure on oil company revenues, particularly if substantial capital investment is required in Venezuela. The speaker notes the potential reluctance of companies to invest heavily in Venezuela without government encouragement.

AI Investment Strategy: From Innovators to Adopters

The discussion then turns to Artificial Intelligence (AI) and investment strategies. The speaker outlines a shift in perspective, moving away from focusing solely on the companies innovating in AI towards those adopting and implementing the technology. This viewpoint was initially proposed a couple of years ago, but the continued strong performance of large tech companies (the hyperscalers) initially overshadowed this trend.

The speaker emphasizes the broadening scope of the “AI trade,” extending beyond the technology sector to include industries like healthcare, where AI can help manage costs and maintain profit margins. “I sort of you know joke if you ask 10 different people what the AI trade is I think you could get 10 different answers.” The focus is now on identifying which companies are benefiting most from AI implementation.

A key concern raised is the increasing capex (capital expenditure) by hyperscalers to support AI infrastructure, and the potential for investor skepticism when these budgets are repeatedly increased during earnings seasons.

Infrastructure and Economic Considerations of AI

The conversation delves into the economic and infrastructural challenges associated with the AI buildout. A significant concern is the substantial electricity usage required to power data centers, potentially leading to inflation and resource constraints in certain areas. The example of Virginia, where a third of the power supply is dedicated to data centers, is cited.

The speaker warns that the impact of this increased electricity demand won’t be uniform across the country and could create localized inflation risks. This highlights a potential long-term issue that needs to be considered when evaluating AI investments. The speaker concludes that the potential for the return on investment needs to be carefully considered, especially given the potential for increased electricity costs and resource limitations.

Conclusion

The core takeaways from the discussion are the continued importance of navigating policy risk with a nuanced understanding of headline risk versus bottom-line risk, a cautious outlook on oil prices despite potential supply increases from Venezuela, and a shift in AI investment strategy towards companies adopting the technology rather than solely focusing on innovators. Furthermore, the long-term economic and infrastructural implications of AI, particularly regarding electricity consumption and potential inflation, require careful consideration. The overall message is one of cautious optimism, emphasizing the need for a discerning approach to investment in a volatile and uncertain environment.