The amount of money Big Tech is about to pour into AI infrastructure is actually INSANE. Capital expenditures from the five major hyperscalers, $AMZN, $MSFT, $GOOGL, $META, and $ORCL are projected to increase from roughly $430 billion in 2025 to nearly $1.2 TRILLION annually by 2028. That's almost THREE TIMES as much spending in just three years. These companies are essentially rebuilding the computing infrastructure that the global economy will depend on for decades. Think about everything that goes into an AI data center. You need GPUs to train and run models, CPUs to manage workloads, HBM and DRAM to feed those processors with data, networking equipment to connect thousands of chips together, optical transceivers to move information at enormous speeds, and massive amounts of electricity to power and cool everything. And as AI models become more capable and adoption increases, the infrastructure required to support all of this becomes even more demanding. This is exactly why I've been so bullish on the companies supplying the infrastructure behind AI rather than trying to predict which AI model or application will ultimately win. Now, obviously, not every dollar of this spending will turn into profits for suppliers. Competition, pricing pressure and execution will matter a LOT, especially as these companies continue expanding capacity. But when you're looking at more than $1 trillion in annual spending from just FIVE companies, I think it's pretty clear why the opportunities across memory, networking, optical components, power, and semiconductors could be enormous. That's why I continue to believe AI infrastructure will be one of the biggest investment opportunities of this decade. The spending is already happening and the companies supplying the critical components are in a position to benefit for years to come.