AI Stack All you need to know

In this video, we walk through the 17 focus areas of the AI industrial stack — from power, data centers, and cooling all the way to semiconductors, photonics, cloud infrastructure, foundation models, AI agents, enterprise applications, security, and robotics. AI is not just about GPUs or chatbots. It is an entire ecosystem of physical infrastructure, semiconductor supply chains, software platforms, data pipelines, and real-world applications. Understanding this full stack helps us identify where the biggest bottlenecks, opportunities, and potential breakout areas may emerge. We cover: Power and grid infrastructure Data center construction and operations Cooling and thermal management AI compute: GPUs, ASICs, and accelerators Memory and HBM Semiconductor manufacturing equipment Advanced packaging and OSATs Substrates and interposers Networking silicon Photonics and optical interconnects Cloud and AI infrastructure Foundation models Data, RAG, and AI middleware Enterprise AI applications AI agents and workflow automation AI security, governance, and observability Edge AI, robotics, and physical-world AI The goal of this video is to build a practical mental model for how the AI economy is being built — and to highlight that the biggest opportunities may not always be in the most obvious places. Whether you are an investor, technologist, product leader, or simply curious about where AI is heading, this breakdown will help you understand the full value chain behind the AI revolution.