While oil gets the headlines, disruptions to liquefied natural gas (LNG) supply are a more direct threat. LNG is a key energy source for data centers, so price spikes or shortages could derail the massive capital expenditures driving the AI buildout.

While energy supply is a concern, the primary constraint for the AI buildout may be semiconductor fabrication. TSMC, the leading manufacturer, is hesitant to build new fabs to meet the massive demand from hyperscalers, creating a significant bottleneck that could slow down the entire industry.

Contrary to the common focus on chip manufacturing, the immediate bottleneck for building new AI data centers is energy. Factors like power availability, grid interconnects, and high-voltage equipment are the true constraints, forcing companies to explore solutions like on-site power generation.

The central geopolitical and economic conflict of the modern era revolves around the control of semiconductor chips and fabrication plants (fabs). These have surpassed oil as the most critical strategic resource, dictating technological and military superiority.

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.

Taiwan's TSMC dominates advanced chip manufacturing not only through technical excellence but also its business model. By acting as a pure-play foundry that doesn't compete with its clients (unlike Intel or Samsung), it fostered unique trust and partnerships, making it the central hub of the semiconductor ecosystem and a critical geopolitical asset.

Dan Sundheim identifies a potential conflict with China over Taiwan's semiconductor dominance as the single biggest tail risk to the global economy. Since Taiwan produces over 90% of advanced chips, a disruption to this fragile supply chain would be catastrophic, potentially triggering an economic crisis on the scale of the Great Depression.

While chip production typically scales to meet demand, the energy required to power massive AI data centers is a more fundamental constraint. This bottleneck is creating a strategic push towards nuclear power, with tech giants building data centers near nuclear plants.

Even if NVIDIA and TSMC solve wafer shortages, the AI industry faces a looming energy (watt) bottleneck. The inability to power new data centers could cap AI growth, shifting the primary constraint from semiconductor manufacturing to energy infrastructure and supply.