T. Rowe Price's Tony Wang on Navigating Volatile Big Tech and AI Investments

The AI Trade and Adoption

• 💡 The key to the AI trade is the continuation of adoption, specifically focusing on agentic AI and its potential for digital labor automation.
• 🚀 This automation is expected to benefit scaled companies that are already established.
• ⚠️ While current leaders are important, there's potential for new leaders to emerge, particularly earlier-stage companies that adopt technologies faster, especially within the semi-supply chain where bottlenecks create value.

Nvidia's Valuation and Market Dynamics

• 📊 Despite being down, Nvidia's earnings have grown significantly, making its valuation relatively inexpensive.
• ⚠️ Concerns exist regarding Nvidia's ability to maintain gross margins and the impact of custom ASIC competition.
• 🔄 The market is currently rotating capital to relative earnings within the semiconductor sector, with other areas showing more growth, leading to a recalibration.
• 📈 Nvidia continues to deliver excellent performance, especially with its new generation of products, and is expected to become more attractive from a valuation standpoint.

Generative AI and Software Disruption

• 💻 English is becoming the new coding language, with generative AI like ChatGPT raising the bar on intelligence and democratizing technology.
• ⚡ This trend is expected to uncap labor, boost productivity, and potentially lead to GDP upticks.
• 🎯 The declines seen in some software companies are valid if they are merely features, as they are easily disrupted by platforms.
• 🏢 Companies that are the ultimate platform for agentic AI, entrenched in the enterprise, and trusted sources are best positioned to succeed.
• 📉 The cost of developing software has decreased tremendously due to generative AI and coding agents, leading to significant disruption in the space.