'Software is the real trouble spot. That is clearly in a bear market, down more than 20%': Stewart

Key Concepts

• Geopolitical Risk & Market Volatility: The impact of events like the Iran conflict on equity markets.
• AI Compute Demand: The exponential growth in processing power requirements as forecasted by industry leaders.
• Software Bifurcation: The divergence in performance within the tech sector, specifically the struggle of software companies versus infrastructure providers.
• The "Four M's" Framework: A methodology for evaluating software companies in the age of AI.
• Data Center Infrastructure: The critical role of power management and battery storage in supporting AI scaling.

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Market Outlook and Geopolitical Impact

Whitney Stewart of Sterling Capital identifies three primary market drivers: Iran, oil, and AI. Despite the volatility caused by geopolitical tensions—such as the potential closure of the Strait of Hormuz, which handles 20% of global oil and 40% of China’s supply—Stewart argues that history favors long-term investors.

• Historical Data: Following a 20% oil shock, the S&P 500 has historically averaged an 18% gain one year later, while oil prices typically decline by 7%.
• Investment Strategy: Stewart views market corrections triggered by geopolitical events as "buying opportunities." She cites historical precedents, including the 2018 market correction and the COVID-19 crash, as instances where long-term investors benefited from lower entry prices.
• Political Incentives: Given the upcoming midterms and the unpopularity of the Iran conflict in the U.S., Stewart suggests there is a strong political and economic incentive to reach a resolution, which would likely stabilize markets.

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The Tech Sector: Software vs. Infrastructure

Stewart describes the tech sector as "very bifurcated." While the broader sector has pulled back, the software industry is currently in a bear market, with many stocks down 30–50%.

The "Four M's" Framework for Software Evaluation

To determine if a software company is a viable investment or a "value trap," Stewart applies the following criteria:

1. Moat: Can the company’s competitive advantage withstand the pressure of AI, which makes coding cheaper and easier?
2. Market: Is the company’s specific niche becoming hyper-competitive due to AI-driven disruption?
3. Margins: Can the company maintain high gross margins? (Nvidia’s CEO has projected software margins could drop from 90% to 50%).
4. Multiple: Is the current valuation justified, or is the stock a value trap?

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Microsoft: A Strategic AI Beneficiary

Stewart identifies Microsoft as a standout performer within the software basket, distinguishing it from the "Lag 7" (formerly the "Mag 7").

• Financial Strength: Microsoft holds a AAA credit rating, over $90 billion in cash, and generates over $100 billion in annual cash flow.
• Azure Growth: The Azure data center unit is growing at nearly 40% year-over-year. Stewart believes this will accelerate as AI compute demand—which Jensen Huang (Nvidia CEO) suggests could grow 1,000x to 1,000,000x—is currently underestimated by most market models.
• Strategic Pivot: Microsoft has evolved from an exclusive partnership with OpenAI to an "App Store" model. By offering services from various AI providers (e.g., Anthropic, Mistral) on the Azure cloud, Microsoft captures value regardless of which specific AI model wins, reducing product-specific risk.

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Power Management and Enersys

As AI compute demand surges, the physical infrastructure of data centers has become a critical bottleneck.

• The Power Pinch Point: Due to heavy regulation and the slow pace of utility expansion in the U.S., new power generation cannot keep up with the energy demands of AI data centers.
• Enersys: Stewart highlights Enersys as a key player in this space. While they have legacy businesses in aerospace and battery-powered forklifts, their data center business is growing at over 25%. They provide essential battery storage solutions that allow data centers to manage power needs effectively when utility supply is insufficient.

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Synthesis and Conclusion

The core takeaway is that while geopolitical events and sector-specific volatility create short-term fear, they often provide entry points for long-term investors. The market is currently transitioning from a focus on software applications to a focus on the underlying infrastructure of AI. Companies like Microsoft, which provide the platform for AI, and Enersys, which provide the physical power management, are positioned to benefit from the massive, under-forecasted demand for AI compute. Investors are advised to be highly selective, moving away from general tech exposure toward companies with strong balance sheets and essential roles in the AI value chain.