The Inevitability No One Sees $11 Billion Tech Manager on What Investors Miss About AI

This episode of Excess Returns features Tony Wang of T. Rowe Price discussing how investors can identify “inevitabilities” in technology and position portfolios to benefit from long-term innovation trends. The conversation explores AI, semiconductors, and the evolving investment landscape, while also breaking down Tony’s portfolio construction process and how he navigates cycles, valuation, and disruption risk. Tony explains why AI is fundamentally changing the cost of intelligence, how agentic systems could reshape software and labor markets, and why the current AI buildout may differ from past tech cycles. The discussion also dives into where we are in the AI cycle, how to think about the Mag 7, and what investors may be missing across the tech stack. T. Rowe Price Science and Technology Fund Topics Covered What it means to invest in “inevitabilities” and separating signal from noise in markets Why AI and compute demand represent a structural shift similar to past tech waves The rise of agentic AI and how it could transform software and productivity Whether AI is underappreciated or already priced into markets The “multiple moons” idea and why AI may not be a winner-take-all market How AI could reshape the labor market, productivity, and economic growth The AI CapEx debate and why this cycle may differ from the dot-com buildout Where we are in the AI cycle: training vs inferencing and deployment phase The impact of AI on software companies and the innovator’s dilemma How semiconductors, memory, and infrastructure remain key bottlenecks The changing nature of the Mag 7 and capital intensity in AI Tony’s portfolio construction framework across compounders, emerging tech, and value How he generates ideas using S-curve adoption and economic bottlenecks Position sizing, risk management, and balancing growth with drawdown control Sell discipline: valuation, fundamentals, and market signals Timestamps 00:00 Introduction and Tony Wang overview 01:05 Investing in inevitabilities and long-term thinking 03:00 Differentiating inevitability from hype and consensus 04:45 AI inevitability and the rise of agentic systems 07:00 Cost of intelligence and productivity implications 08:00 Real-world examples of AI adoption (customer service, agents) 09:00 Is AI underappreciated by markets? 11:15 AI as a “space race with multiple moons” 13:30 AI as the dominant driver of markets today 15:00 AI’s impact on jobs, productivity, and the economy 18:30 Creativity, judgment, and the future of work 20:45 Physical AI and robotics opportunity set 22:30 AI CapEx debate vs the dot-com era 25:30 Semiconductors vs software in the AI stack 28:15 AI disruption risk for software companies 31:00 Cyclicality in semiconductors and how AI changes it 33:30 The evolving role of the Mag 7 in AI 36:30 Competition, startups, and AI democratization 38:00 Where we are in the AI cycle today 40:00 Idea generation and S-curve adoption framework 42:30 Case study: memory and AI bottlenecks 44:45 Example position: optical networking and infrastructure 46:40 Portfolio construction and position sizing 49:00 Sell discipline and managing valuation risk

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The Inevitability No One Sees $11 Billion Tech Manager on What Investors Miss About AI is an episode from Excess Returns by Excess Returns.

This episode is 01:02:35 long.

This episode was published on Apr 6, 2026.

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