Contrary to popular belief, the success of semiconductor industries in Taiwan and Korea isn't primarily due to massive government subsidies. Instead, their governments excel at creating an extremely stable and predictable business environment with streamlined permitting and minimal regulatory friction, which is more critical for long-term, capital-intensive projects.

Instead of betting on specific AI models like ChatGPT, a more robust strategy is to invest in the underlying infrastructure that all AI development requires. This 'onion' approach focuses on second-order essentials like semiconductors and data centers, which are poised to grow regardless of which consumer-facing application wins.

While bullish on India, investors should note it's not participating in every global trend. Unlike North Asia (Korea, Taiwan), India is not a player in the "AI picks and shovels" hardware theme. It also lacks the investment drivers seen in Europe related to serving an aging population.

The conversation around AI and government has evolved past regulation. Now, the immense demand for power and hardware to fuel AI development directly influences international policy, resource competition, and even provides justification for military actions, making AI a core driver of geopolitics.

The dominant market driver will transition from macro risks like tariffs and policy uncertainty to micro, asset-specific stories. The key focus will be on company-level analysis of AI capital expenditure plans and their impact on earnings.

Despite market hype around AI, Morgan Stanley's analysis shows the top three performing thematic stock categories in 2025 were critical minerals, AI semiconductors, and defense. These 'Multipolar World' investments highlight that geopolitical tensions are currently a more powerful driver of returns than pure tech innovation.

Beyond financial metrics, the most significant 'tail risk' to the AI boom is the high concentration of advanced semiconductor manufacturing overseas, particularly in Taiwan. A geopolitical conflict could sever the supply of essential hardware, posing a much more fundamental threat to the industry's growth than market volatility or corporate overspending.

The global shift away from centralized manufacturing (deglobalization) requires redundant investment in infrastructure like semiconductor fabs in multiple countries. Simultaneously, the AI revolution demands enormous capital for data centers and chips. This dual surge in investment demand is a powerful structural force pushing the neutral rate of interest higher.

The advanced GPUs essential for AI require a fully globalized supply chain. As globalization breaks down, producing these chips may become impossible. Therefore, the current frenzied build-out of AI data centers, while a bubble, strategically installs critical infrastructure before the window of opportunity closes for good.